Oracle Academy Tech Chat

In this episode, we'll talk about Security and Control with Exadata We'll explore how organizations can benefit from cloud innovation while keeping full control over their data — a critical challenge in today's digital world.   ----------------------------------------------------   Episode Transcript:   00:00:00:00 - 00:00:44:19 Unknown Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to Oracle Academy Tech Chat, where we discuss how Oracle Academy prepares next generation workforce. I'm your host, Alba Joven, and today I am joined by Sylvia Adrdilo an Exadata Cloud customer Service Specialist at Oracle. 00:00:44:21 - 00:01:11:21 Unknown In this episode we will talk about bringing the cloud to you. Security and control with Exadata. We will explore how organizations can benefit from cloud innovation while keeping full control over the data. A critical challenge is to date digital work. So let's get started. To start off, Sylvia, I would love you to share a bit about your background and your current role at Oracle. 00:01:11:22 - 00:01:47:10 Unknown Absolutely. And first of all, thank you so much for having me here. It's, it's absolutely a pleasure. So my journey started with my graduated as a telecommunications engineer from the University of Malaga in Spain in 2014, and after I finish my studies, I jumped straight into the IT world. And it's been over ten years now. So early on I worked on several companies like IBM and U next and Indra, and during those years I mainly worked as a backend developer in several technologies. 00:01:47:12 - 00:02:16:08 Unknown And I have to say that it was a great foundation because you really get to understand how systems talk to each other behind the scenes, which later became super valuable. And after that, I moved into a more operational role. I was a support lead for UCS as Smart Metering Implementation Program, or MIP in Accenture, and as me was at the time, and still is actually a massive national project to modernize how energy usage is tracked across the country. 00:02:16:10 - 00:02:45:03 Unknown And in that role, I supported everything from from manufacturing the smart meters to getting them delivered to warehouses, activating their SIM cards, installing them in homes, and even managing the returns under the activation processes. It was it was a lot about ensuring that that such a massive operation run smoothly, run securely. I was solving incidents quickly, but but also you had to make sure that they were solved correctly. 00:02:45:05 - 00:03:08:21 Unknown So that millions of people were affected. And that really taught me how critical operation, security and resilience are when you're dealing with important data, national infrastructure. And then in in 2021, I joined Oracle as a cloud systems solution engineer. And in that role I started working much closer with customers. I was involved in the pre-sales side of the deals. 00:03:08:23 - 00:03:36:19 Unknown I was doing technical presentations, workshops. I was learning about all kinds of different Oracle technologies. Oracle's hardware portfolio, and also about data center setups and and the needs from different industries. And then last year, in 2024, I moved to my current role as an Excel Data Cloud customer specialist. And in this role I continue supporting our sales team from from a technical standpoint, during the pre-sales process. 00:03:36:22 - 00:04:06:21 Unknown But now I'm more focused or solely focused on Exadata Cloud customer. So basically I help customers and I help internal teams understand what Exadata Cloud Customer is, how it fits into their IT strategy, and especially how it can meet their security and operational needs. So I deliver workshops, I answer technical questions, I join customer meetings, create documentation, and also help train our internal teams so that everyone stays sharp on the technology. 00:04:06:23 - 00:04:32:18 Unknown So to summarize, my my whole career has been about understanding technology deeply and then helping people use it safely and effectively. So now let's talk about a crucial topic that is data security. Can you explain what data security is and why it's so important in today's world? Think of data security like the lock and the alarm system of your home. 00:04:32:20 - 00:05:10:17 Unknown So you keep your doors locked. Maybe you have cameras, sensors, alarms, whatever. All because what's inside your house is valuable and personal. Now, in the digital world, your data, whether it's research papers, personal information or medical records, business transactions and so on is just as valuable, if not more. So data security is the set of practices and technologies that we use to protect that digital home from unauthorized access from theft, corruption or misuse. 00:05:10:19 - 00:05:43:05 Unknown Now, why is it important? Well, because we live in a world where data is currency. So companies, governments and even criminals, they know the power of having information, right? So if someone steals your research, they could profit off your hard work. If they get access to personal data, they can commit identity theft or fraud. If they access login details from a company, they can sell them to malicious actors who impersonate you to steal your information, and so on. 00:05:43:07 - 00:06:12:08 Unknown So on a larger scale, data breaches can cause massive reputational damage to companies. People lose trust in institutions that that can't protect their information. So we have discussed why that is important. But what would you say that are the biggest challenges organizations face trying to protect their data? In that context, what are the best practices you would recommend to follow? 00:06:12:10 - 00:06:42:20 Unknown This is where it gets really interesting, actually and honestly, it's a little bit daunting. So the first challenge is the speed of change. Technology evolves super fast. And unfortunately hackers do also.  and another challenge is complexity. So organizations today have data spread across servers, across personal devices, a cloud services, applications or whatever. And every one of those extra connection points is a potential risk, right? 00:06:42:22 - 00:07:14:13 Unknown But actually, one of the biggest risks isn't actually the technology, but the human error. So what does it mean? Well, clicking a bad link, using weak passwords, not updating software, sending confidential information or messaging apps not authorized by the organization. A small mistake like this can have really huge consequences. And even the most advanced security systems cannot really protect against someone accidentally opening the wrong email attachment. 00:07:14:15 - 00:07:39:02 Unknown As for best practices, I think I will summarize. I will summarize them in five areas. So the first one will be to encrypt everything. Encryption is like writing data in a made up language. So even if someone intercepts it, they can't understand. They can understand what's written in it. Nor do anything with it. The second will be the least privilege. 00:07:39:04 - 00:08:05:19 Unknown So only give people access to what they truly need. It's like giving someone a key to just one room instead of the whole building. The third one will be batching and updating systems. So software updates are how we fix security issues or bugs before bad actors can exploit them, right before they can use them in their favor to access their systems. 00:08:05:20 - 00:08:34:07 Unknown Fourth one would be continuous monitoring. So basically do not assume that everything is fine. Use tools to keep an eye on activity. To spot suspicious behavior early and to alert the right people. And fifth. Well, it's, security awareness training, right? This tries to address what I mentioned before on the human error factor. So teach everyone, teach your employees, students, your family members the basics. 00:08:34:09 - 00:09:02:02 Unknown Because awareness is often the first down the best line of of defense. Let's dive a little bit into xCloud consumer. For those who might not be familiar. Can you explain what it is and how it helps address the data security challenge that you just have discussed? Yes, absolutely. And I love this question for obvious reasons. So Exadata Cloud Customer is is a smart solution to a big modern problem. 00:09:02:04 - 00:09:30:15 Unknown Okay. So first of all think of what organizations want today. They want the power and the flexibility of the cloud. That means being able to scale resources up and down. They want to use the latest technology. Automate a lot of tasks, but they also want to keep that control and security. This applies in places like universities, like hospitals, financial public institutions where the sensitive information is everywhere. 00:09:30:17 - 00:09:59:05 Unknown And normally, public cloud services mean that your data lives in a shared data center somewhere out there. But what happens if you can't risk that? Or what happens if regulations dictate that you must keep data in your own facility? That's where Exadata Cloud Customer provides an answer. So first of all, Exadata is Oracle's best database system. And it is a solution on its own. 00:09:59:07 - 00:10:27:23 Unknown It's a rack with database servers. The storage sells and switches for interconnection. But what makes it unique is that it provides ultra high performance. It provides optimized hardware and software and unique features that accelerate the Oracle database and the cloud. A customer or part of the name? It means that it is installed inside your data center, but it's managed like a cloud service. 00:10:28:01 - 00:11:00:11 Unknown Now for security. The setup is actually fantasti

In this podcast, Dusa Vukovic, Principal of the Grammar School for Computer Science, Oracle Academy Teacher and Oracle Academy Instructor speaks from her experience using Oracle Academy materials in the classroom, as well as an instructor for Oracle Academy. She speaks about practical things teachers will discover while using Oracle Academy curriculum in their classrooms. ------------------------------------------ Episode Transcript: 00:00:00:00 - 00:00:37:04 Unknown Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to Oracle Academy Tech Chat, where we discuss how Oracle Academy helps prepare the next generation's workforce. 00:00:37:06 - 00:01:10:06 Unknown I'm your host, Ljiljana Krkić. Oracle Academy program manager. In this episode, I'm delighted to be joined by Dawsonville College principal of the Grammar School for Computer Science. Oracle Academy teacher and Oracle Academy instructor. She will speak about her experience using Oracle Academy materials in her classroom with her students, as well as an instructor for Oracle Academy. She will speak about practical things teachers will discover while using Oracle Academy curriculum in their classrooms. 00:01:10:08 - 00:01:37:02 Unknown Hi, Dusa. Welcome. Could you please tell us a little bit about your background and your current role? Hello. And also coach, I'm the principal of the grammar school for computer science. It's a school with a especially demanding curriculum designed for students talented in computer science. I have more than 20 years of experience in teaching programing in database topics. 00:01:37:04 - 00:02:06:17 Unknown I'm also author of the several textbook, on computer science since 2010. I have been an instructor for teacher courses within the Oracle Academy program, leading training sessions in Serbia, Montenegro, Turkey, Austria and the Czech Republic. This is really impressive. And could you please describe in more details your early experience with Oracle Academy, and what led you to become an Oracle Academy member as a teacher? 00:02:06:17 - 00:02:36:23 Unknown I'm aware that, especially in the past, but even today, education often provides a lot of theoretical knowledge without giving students a clear sense of how it's applied in the real world. When I first heard about the Oracle Academy program, I immediately thought, this must be different. Oracle is known for its excellent software solutions. So I assumed that their courses would be packed with real world examples and content that could be applied immediately. 00:02:37:01 - 00:03:04:22 Unknown Online courses and training are now a standard part of daily life. Back in 2007, when I took my first Oracle Academy course, very few people had ever experienced online training. Many couldn't imagine what it's like. The online portion of the training back then was nothing like we have today. It involved live chat sessions with only occasional image, and the internet connection was dial up. 00:03:05:00 - 00:03:30:01 Unknown I still remember the sound of the modern screechy as it connected to the landline. It's so funny to think now about the landline. Most people don't even use today. For me, it was an incredibly experience that back in 2007, I was able to follow from my home and online course with instructor Pat Hays was teaching from her office in the United States. 00:03:30:03 - 00:03:56:11 Unknown It really showed me how Oracle was not just keeping up with technological advancements, but actively applying them. That experience inspired me to be a part of that kind of innovation. I wanted to offer my students the opportunity to stay on the cutting edge of technology, learning skills that could be immediately applied in real world scenarios. Yeah, these were really very specific times. 00:03:56:17 - 00:04:23:22 Unknown And tell us, what were some of the key challenges you experienced and how did you overcome them? This is an excellent question. One of the biggest challenges when working with students is capturing their interest and keeping their attention. Many people myself included, agree that this issue is even more pronounced today, largely because kids are surrounded by technology and endless distractions on the internet. 00:04:24:00 - 00:04:52:21 Unknown However, the question of attention and engagement is an essential part of the teaching and learning process. When students are engaged, then focus. The results are always better. They don't just learn a single lesson. It's not about that. It's about developing a desire to keep learning and discovering new things throughout their lives. The Oracle Academy materials play a significant role in sparking students interest and keeping them engaged. 00:04:52:22 - 00:05:23:11 Unknown Students quickly realize that these aren't just abstract concepts, but practical skills that can help them secure good jobs. The lessons give them an opportunity to acquire valuable knowledge and skills that are highly relevant to the real world. In my classes when I teach, I organize activities in a way that maximizes student involvement. I don't just stand in front of students delivering delivering lectures. 00:05:23:13 - 00:05:54:01 Unknown Let me give you some examples. When we are starting a new lesson, I give the students a list of questions that they need to answer by exploring the new materials they read, the lessons they go through, the content and search for answers. In that case, the reading is far from boring. The reading is engaging and interactive. All students are given the same amount of time and the same set of questions, and they are required to write down their answers. 00:05:54:03 - 00:06:22:06 Unknown Later, we compare the results as a group with the goal of helping each student see where they stand and what they can improve. For example, if one student answers 27 questions, another only 15, we analyze what happened. What challenges they face. What could have they done differently? It encourages peer learning as they teach each other through their mistakes and success. 00:06:22:08 - 00:06:57:08 Unknown I also use Oracle Academy Solve it with SQL workshop to encourage students to explore new tools. I provide them with lessons and instructions and they work through the materials practically using a new IT tool, something they haven't used before. At the end, we assess the results together, discussing what went well and what could be improved. This hands on approach not only builds technical skills, but also develop critical thinking and problem problem solving abilities. 00:06:57:13 - 00:07:25:14 Unknown Thank you. And I agree. Focus is a challenge for all of us nowadays. And thank you for all of the advices regarding the groups and organization. And now this leads me to, another question. Tell me, how do you start your school year with new students? How do you introduce Oracle Academy to them? Oh, well, at the beginning of the school year I create Oracle Academy accounts for all students. 00:07:25:16 - 00:07:54:22 Unknown So that gives them access to complete learning materials throughout the year. We go through the curriculum gradually, and I always make sure to point out which lesson we've reached or which specific task we're working on. In that way, they can track their progress for hands on work. Their plenty of examples and exercises within the course itself. I make sure to go through those tasks in class. 00:07:55:00 - 00:08:28:11 Unknown Sometimes we work together. For example, I'm at teacher's computer demonstrating things we have to do, and all students follow on their own computers at other times. I assign tasks for them to complete independently while I circulate around the classroom. Occasionally we practice quiz questions during class, which helps them prepare for the certification exam. When we go over quiz questions, we always discuss them. 00:08:28:13 - 00:08:56:22 Unknown If I notice from their answers that they haven't fully grasped something, we revisit the lesson afterwards. Do I make more example to make things clearer for my students? Wonderful. And now from your teacher's, perspective, you have been Oracle Academy instructor for teacher courses for many years. Could you please tell us more about that experience? Well, this is very important for me. 00:08:57:00 - 00:09:33:07 Unknown The experience I have as an Oracle Academy instructor for teachers working with teachers is especially valuable. Each teacher brings their own experience from the classroom. Those experiences are always visible during training sessions. The process of knowledge exchange in teacher training is never one sided. While I train teachers on how to use Oracle Academy materials in their lessons, I also absorb knowledge from them about their teaching methods and how they work with their students. 00:09:33:09 - 00:10:02:03 Unknown When you're a teacher, your focus isn't just on the subject matter. The main focus is on how to help students acquire knowledge and skills. The way a teacher learns sometimes might not be the same way a student needs to learn. We don't all alone in the same way. Some people prefer to read a lot. They best learn by carefully going through the lesson, only moving to the task. 00:10:02:06 - 00:10:38:16 Unknown After reviewing everything thoroughly. Others skip the long texts. They don't like to read. They go straight to the tasks and they then return to the lesson text only when they need help solving a problem. Some students enjoy learning through competition. Others dread it. These are just a few examples in direct work with students in the classroom. The process of teaching and learning reveals how many different ways there are to learn, and what patterns can l

In this Episode Orlaith Lawton speaks with Oracle ACE Roberto Capancioni about the importance of APEX and why it is the world's most popular low-code application platform. ------------------------------------------------------ Episode Transcript: 00:00:00:00 - 00:00:35:14 Unknown Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Hello and welcome to Oracle Academy Texas, where we discuss how Oracle Academy prepares the next generation's workforce. 00:00:35:15 - 00:01:03:22 Unknown I'm your host Orlaith Lawton. In this episode, we dive into the transformative power of the low code software development and explore how it's reshaping industries, streamlining workflows, and enabling faster innovation. Our guest today is Oracle Ace Roberto Journey, and he shares his expertise on Oracle Apex, the world's most popular low code application platform. You're very welcome, Roberto. 00:01:04:02 - 00:01:34:01 Unknown Lovely to talk to you. And thank you so much for being our guest today on our podcast. Start off, Roberto, can you please give me a little bit about your background and your current job role? Thank you all for inviting me. If I'm open for me to be here with you and to share my knowledge in Oracle Apex and the Oracle technology in general, because I'm very, enthusiast of these environments. 00:01:34:01 - 00:02:37:17 Unknown And I try to explain why. My name is Roberto. I'm, I'm an engineer, and, I've been working in, in I.T for about 30 years. I started, focusing in databases or relational databases and, application development that many years ago for multi utility companies, also in, service sectors company. At the moment I work with mainly exclusively in apex project because they're a when I found the apex about 15 years ago, I thought that it was the, the only take for developing application in, in my career and the, in the the following of this podcast, I try to explain, explain why I also collaborators, 00:02:37:19 - 00:03:14:13 Unknown as a trainer and the also a consultant with companies and also education institution. So, I'm, I'd like to explain to student mainly to student and school because I think that at the moment the there is the need of this kind of, example of code of, the middle word technology, because, Oracle technology is suitable for company and also for educational institutions. 00:03:14:15 - 00:03:48:01 Unknown Thank you, Roberto, for that. And what is apex and what are the benefits of using Apex? Okay. In the apex is the, so-called low code development platform. Why low code look on? Because it the code at the moment is, mainly. And the hype word because the when you say low code, do you want to say that everybody can develop, quick and dirty applications. 00:03:48:03 - 00:04:30:01 Unknown And if you want, the apex can also do that. You can, develop in about an hour a very simple application. But the, the secret is that is also low code application. So it's suitable for business user, for student, for junior developers and also for enterprise applications or grades of housing because the technology that is below apex, that is the Oracle database is an enterprise platform. 00:04:30:01 - 00:05:16:07 Unknown So every company can leverage of database and the, the, low code, the environment, the to develop to develop application. So the secret is that, if you know, languages, if, you know, business problem, apex can without writing, single frontend code, the frontend means all the code that you have to write to create the web application that that usually it's not simple for also, for all the, old style, developers, apex do it for you. 00:05:16:07 - 00:05:51:11 Unknown So you can have to write frontend code. Also business code that you know that also or developers can do in they career and they don't know, web application because they are doing another job with apex. You can develop it quickly. Business application. So why is this the world's most popular low code application platform? I think for, for several reasons. 00:05:51:11 - 00:06:24:12 Unknown First of all, apex is included inside the, he tried the the Oracle database license, if you haven't to pay for apex because, apex is the database. Oracle is an extension of the database Oracle. So if you have a database, you data but you have to pay nothing to have Apex. You have a really apex in your environment. 00:06:24:12 - 00:07:23:01 Unknown You have even the two, provide the, application server or other, tech inside your component. Because if you have Oracle database, you have a really also apex. So, it's, it's very simple to start, but also, if you haven't developed with it and the it is, a mature technology because, even if, only this year we hear about, apex because when, Oracle became, cloud company about two, five years ago mainly, you know, also before, but, it's, the last five years that that there was an explosion in the cloud of Oracle apex became strategic because is inside the the cloud technology 00:07:23:01 - 00:08:02:03 Unknown of of Oracle. Sure. Oracle has auto language database. Autonomous database is a platform as a service that Oracle asks for. For the companies, you with a simple, subscription you and access, instantaneously to the database in the cloud. And also, apex also updated the maintain need that fine tuning the from Oracle you UI to be, online subscription and all is, provided for you. 00:08:02:03 - 00:08:37:13 Unknown So it's very easy to have an environment that is secure, is maintaining with the GDPR, at the moment. But, watchdog every DPO has to concern about the, the security, the, the explosion, exploitation and the all the problems that you have to maintain updated your environment with the autonomous database, the Oracle do it for you and apex is it inside the autonomous database. 00:08:37:15 - 00:09:20:18 Unknown So with a minimal effort, you have a mature, enterprise ready. GDPR really needs to read the environment. And, inside the your organization. So, I think that the company appreciate that because determinative there are several out there native. But only tools, only development tools. So Oracle is a complete the stack from the infrastructure from the Sabara database middleware, application server from them. 00:09:20:18 - 00:09:49:15 Unknown But, it it is the only product in the world, that can do that at the moment. That's a very detailed account of this. Thank you so much for that. Roberto, may I ask you can apex help with generators, AI or AI? Apex makes it easy to integrate AI model and external services inside the, inside is environment. 00:09:49:17 - 00:10:26:11 Unknown Mainly because, apex is the DB oracle. So as you know, the last, version of the, Oracle database is a 23 I why I mainly because you use that and marketing subject all today. All all products are AI but Oracle provide the SAP environment agent in the EAS autonomous cloud that can integrate with apex. 00:10:26:13 - 00:11:02:15 Unknown Apex has the, enterprise ready Add-On to, integrate with, a Lem agent that so you can do in ad declarative way without to, hassle, experience program because there are several weeds. And the several. Yeah. It really application inside the, the the gallery and the, demo product that, installed in provided in the apex environment. 00:11:02:17 - 00:11:48:17 Unknown So, always the AI is, increasing every way. The model, the MCP server, today we can have also tool that the provide the ASR, in interface to interact with the, agent that in, in the industry from which are GP3, cloud, IEEE, all the, the agent that we ever in at the moment and apic is the, enterprise ready to do that for the novice and the for the experience developer? 00:11:48:19 - 00:12:49:08 Unknown How do you see apex being used in the future? I believe that the apex will, becoming increasingly strategic for the organization. And the speed to, to see many extension also because of AI, IoT analytics. Don't forget that Oracle as wide ecosystem side that is cloud. The from the diffusion application that the software as a service application that Oracle provide to the companies and the analytics application we have in Oracle analytic servers in the apex again, can be the, the Swiss knife that the can integrate with the tailor made this process, all the orchestration, all the workflow that we can have between all 00:12:49:08 - 00:13:23:09 Unknown the Oracle ecosystem product but not also Oracle because the in the mean the Odeon world or the, enterprise application as a software as a service application and the, the rice there is that there are the, the standard interfaces to, interact with, the other products. Is convenience also focused on development, of integration. 00:13:23:09 - 00:13:57:19 Unknown So apex can do, invite development environment for software application, software as a service application, but also also integration application. And at the moment this is the most important things for the companies because all the companies, has ERP, cloud Europe very valued and the expensive environment and that are migrating in cloud. 00:13:57:21 - 00:14:42:22 Unknown So we are losing the but ability to connect directly with the database, because at the moment that they have on premise, product, when they, on cloud is more difficult to interact directly with the database. So they have an API, they have Rest services. They and, need other, tools to interact with the application to get, to fetch all their data for business intelligence, application front orchestration, AI application and data analysis. 00:14:43:00 - 00:15:21:09 Unknown Oracle apex can help a lot. And this is one of the my main, a job at the moment to integrate, into prize, application like ERP with custom software in

In this Episode Tyra Peirce speaks with speaks with Oracle ACE Satwik Reddy about how businesses leverage Oracle APEX to build powerful applications without the need for extensive coding. ------------------------------------------ Episode Transcript: 00:00:00:00 - 00:00:35:04 Unknown Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to Oracle Academy Tech Chat, where we discuss how Oracle Academy prepares the next generation's workforce. 00:00:35:05 - 00:01:11:14 Unknown I'm your host, Tyra Peirce. In this episode, we dive into the transformative power of low code software development and explore how it's reshaping industries, streamlining workflows, and enabling faster innovation. Our guest, Oracle ace Satwik Reddy, shares his expertise on how businesses leverage Oracle Apex to build powerful applications without the need for extensive coding. Welcome Chadwick or Hyder. To start off, can you give me a bit about your background and your current job role? 00:01:11:16 - 00:01:40:09 Unknown Hey there.  Developer tech enthusiast standing around an accidental quarter turn full time epics. Advocate. I have been working with Oracle Apex for over 13 years now. Here, like it's more than a decade deep in the loop code. It all began, back in my grad school. Like, me and my couple of friends, like, we are doing a hackathon and we were dabbling in different programing languages, trying to build a website. 00:01:40:11 - 00:02:11:02 Unknown And that's when, we stumbled across Oracle Apex. And honestly, it just clicked and we loved it. Since then, apex has been my jam and butter. Like, let's say right now I work as an apex technical lead. That means I do a lot of hats, like gathering requirements from stakeholders, designing scalable applications like a team of developers like, and make sure that when built, actually solves the real world problems. 00:02:11:04 - 00:02:37:17 Unknown And think of me as an orchestra conductor, like making sure every piece of the development puzzle fits licensing and hits the right notes in terms of performance, scalability, and reliability. And I also handle the production support and mentor the junior dev developers. Docker reviews write production design documents, and make sure every project stays aligned with the big picture goals of the organization. 00:02:37:17 - 00:03:07:19 Unknown So yeah, like yeah, a lot of moving parts, but with epics things move fast, faster, smoother than we would think. I love that you're so involved in the apex development from the beginning to the end. You're mentoring the junior staff and new apex developers, so you are quite the apex expert. So for my next question, what is low code application and what is low code application development and why should students learn it? 00:03:07:21 - 00:03:39:04 Unknown Great question. Let's start with low code and why it's not just a buzzword but a game changer, especially for students. In the morning the of building software. Right. Like low code. Development doesn't really, rely heavily on manual coding. Instead of writing thousands of lines of code, you visualize tools and like drag and drop interfaces, templates, reusable components, which can help you build apps quickly and efficiently. 00:03:39:06 - 00:04:01:00 Unknown And think of it like this. Like, instead of starting from scratch, low code gives you a toolbox full of ready made pads. You just snap them together, kind of like digital Lego and build what you need. And now, like here, here's where it gets even cooler. A lot of these platforms like Oracle Apex are adding more AI powered features. 00:04:01:02 - 00:04:39:23 Unknown That means you can build apps that analyze data and make predictions, create smart forms that adjust in real time to what the user types are. Even automate workflows like using AI driven decision making. So what used to take weeks or months to code? You can just create in days? Sometimes maybe has help now, like why students? Why should students care like live in break down this and like local development right is in high demand across industries making it a valuable skill that boosts employability for people from all backgrounds. 00:04:40:01 - 00:05:10:11 Unknown Like, you don't need to be a computer science major like any business students or educators, even art students, anyone who can learn low code and use it to solve real world problems. And it also helps in quick prototyping because let's say you want an idea for an app, you can go from concept to working name in a way you can already, or even an idea that's huge for class projects like hackathons or even the startup pitches. 00:05:10:13 - 00:05:43:06 Unknown Or if you're building any, demo or doing something. And it's also budget friendly. I can is doing a great job by giving it for free with Oracle database, which means you don't need to spend a dime to get started. And it also helps when prepping for the future. Like as AI becomes part of our daily digital tool and local platforms, helps build smarter apps without needing to be data cities like. 00:05:43:08 - 00:06:18:21 Unknown And it's like having AI as the coding copilot. And when it comes to choosing the platform, Oracle Apex stands out. In that case, it's tightly integrated with the Oracle database. It scales easily from story projects to full enterprise systems. It supports cloud and on premise deployment, and many of the big organizations uses like QR and finance, health, manufacturing or retail and also pharmaceutical and stuff. 00:06:19:00 - 00:06:49:11 Unknown Here, students aren't just learning theory, they're gaining real world resume really skills. So if I sum it up or the bottom line is low code is leveling the playing field locally, it's like leveling the playing field with tools like Oracle, apex, and a bit of creativity. Students go from I have an idea to I built an app faster than I had, and with AI in the mix, they're winning smarter, faster, and with more impact. 00:06:49:12 - 00:07:10:01 Unknown I love that answer because it shows that students don't have to be a computer science major. They can get, they can get ramped up pretty easy. And through Oracle Academy and through Oracle, they can get access to apex for free. So I think that that's a, a really great way to kind of get involved. Which leads to my next question. 00:07:10:03 - 00:07:32:16 Unknown What role does apex play in the broader landscape of cloud computing and enterprise applications? Since Oracle Apex isn't just a developmental, it plays strategic role in the world of cloud computing and in your business. To break it down, in today's digital world, like every company from startups to global chains is moving to the cloud and AI. 00:07:32:18 - 00:08:03:06 Unknown And they're not just storing the data up there. They're building apps, training operations, and making real time decisions all in the cloud. But here's the catch building cloud apps from scratch can be so expensive and complicated. Especially you are dealing with legacy systems or any complex business need. That's where the picks up just as it's a low cloud, low code platform that acts like an accelerator for digital transformation. 00:08:03:08 - 00:08:35:01 Unknown It helps organizations like build secure, scalable, and data driven apps without the heavy lifting. So instead of like spending six months coding a custom dashboard you can build in a week, or you can reuse, market apps or Apex apps, which were inbuilt, given like when we installed Oracle Apex inside the database or connected. And also the apps are directly connected to Oracle Database and they're also hosted in the Oracle Cloud and ready to go live. 00:08:35:03 - 00:09:03:03 Unknown That's huge for enterprise teams who need to move fast and stay secure. And here's a strategy. Like epics, epics plays three big roles in the cloud and enterprise landscape, which acts as a bridge builder. Epics connects users with I.T, helping them build apps together. Hey, you don't want to wait for a development team to free up with low code. 00:09:03:08 - 00:09:36:04 Unknown Business analysts and even power users can start prototyping apps themselves, and it's also a cloud catalyst like for organizations like for moving to the cloud. Epics need some things, so it's already integrated with our cloud infrastructure. Teams can deploy apps without worry about setting up servers, managing databases, or securing the backend. It's all everything is. Building. And then next is a major and it's a cost cutter and enterprise world. 00:09:36:05 - 00:10:11:21 Unknown Like building app apps often means big budgets and a long time that change is that you can get faster development, fewer bugs, and easier maintenance all at a fraction of the cost. And because it's part of the Oracle ecosystem, apex fits seamlessly into the existing enterprise environment. So companies that already rely on Oracle for database or ERP systems or analytics or any other aim, they don't have to reinvent the wheel epics just Plex right in. 00:10:11:23 - 00:10:38:18 Unknown It's like having a custom app factory sitting on top of one of the world's most powerful cloud platforms, and for storing. This is good because landing epics doesn't just teach you to build apps, it teaches how you could first look how cloud first companies think and operate, and innovate. That I love how apex is fully integrated into everything Oracle related. 00:10:38:18 - 00:11:11:10 Unknown And so that leads to my next question. Can you share some examples of how different industries utilize Low-code development? Looker isn't just like for one industry or one kind of app. It's a versatile tool that's being used across the board. And, axes are right at

Unlocking the Role of an Account Cloud Engineer at Oracle What does it take to bridge technical expertise with real-world customer impact? In this episode, we dive deep into the role of the Account Cloud Engineer (ACE) at Oracle—a unique position that sits at the intersection of technology and customer engagement. Often misunderstood as solely technical, ACEs play a vital role in presales, partnering with sales teams to guide customers through Oracle Cloud Infrastructure (OCI) solutions. From shaping architectural designs to providing ongoing support, ACEs are key to delivering value-driven cloud transformations. Listeners will discover: How ACEs collaborate with sales to co-design custom cloud solutions for clients The importance of soft skills—like communication, collaboration, and curiosity—alongside technical acumen What a typical day looks like for an ACE, including demos, workshops, customer calls, and problem-solving How cloud certifications, mini-courses, and real-world experience can jump-start your cloud career Why asking the right questions helps uncover and solve customers' real challenges We also spotlight the Generation Oracle (GenO) program—a global initiative dedicated to launching tech careers for people from all backgrounds. Whether you're a student, educator, or career switcher, GenO offers structured training and direct pathways into dynamic roles such as ACE, sales, consulting, and more. Ready to jumpstart your cloud journey? Explore Oracle Academy's free cloud curriculum and certifications, and check out Academy Bytes for bite-sized learning. Whether you're pursuing a career in cloud or curious about the world of presales, this episode is the perfect place to begin. Resources Mentioned: Oracle Academy : Free cloud curriculum and resources for educators and students Oracle University : Training and certification Generation Oracle Careers : Entry paths into Oracle -------------------------------------------- Episode Transcript:    00:00:00:00 - 00:00:35:10 Unknown Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to the Oracle Academy Tech Chat, where we discuss how Oracle Academy prepares the next generation workforce. 00:00:35:11 - 00:01:04:04 Unknown I'm your host, Rick Blake, our being the Oracle Academy program manager for the Benelux and the region. So what we're going to discuss today, in this episode, we're exploring what it is really like to work in cloud tech, especially in the AI's role at Oracle. Lily will share her journey into tech, what the job involves day to day, and some honest advice for students and educators thinking about careers in this space. 00:01:04:06 - 00:01:26:20 Unknown Lily Griffin works in Oracle for three years, currently program manager for Oracle Academy for the UK and the Nordics. Previous to this, Lily worked as an account Cloud engineer for Oracle in the UK. Today we will discuss what an Account Cloud Engineer is and Lily's experience in the role. Lily, are you ready? I'm ready. Very good. Let's start. 00:01:26:20 - 00:01:53:15 Unknown Lily, a warm welcome to this podcast. Thank you for giving us the opportunity to learn from you. From your knowledge and your experiences. So to kick it off, Lily, if I look at the top 50 global technical roles, I can see that data and cloud are strongly represented in the top ten jobs. Even in various roles. Can you please explain what an account cloud engineer and as we call it, is? 00:01:53:16 - 00:02:25:09 Unknown Yeah, of course they as mentioned, Ace stands for Account Cloud engineer. And at Oracle it's a pre-sales role. So that means that you're involved before a sale happens. You're working with customers to help them understand Oracle's cloud offering, guiding them through, solutions, architecture and product features. I guess what's great is that you're involved, that your involvement doesn't end once the deal is signed. 00:02:25:11 - 00:02:51:01 Unknown You're sort of. You continued to be the customer's technical point of contact for Oracle Cloud infrastructure, and it becomes very consistent relationship so they know who to reach out to if they have any questions. Need guidance or want to explore any other capabilities. I think that ongoing support helps build trust and makes the role feel really rewarding. 00:02:51:03 - 00:03:15:14 Unknown It's a technical role, but it's also very people focused. So you might be talking about networking in one call and chat bots in the next. So you need to really comfortable switching gears and sort of having a wide range of conversations. I'd also say you don't work alone either. So as an ace, you're paired with one or more one or more sales reps. 00:03:15:16 - 00:03:41:03 Unknown And the ones sort of driving the sales process of building relationships and creating opportunities. You're their technical counterpart, so you're helping shape the solution and making sure it fits into the customer's needs. When it works well, it's a real partnership. And while it's definitely a technical role, it's important to mention soft skills as they are just as important. 00:03:41:05 - 00:04:09:05 Unknown So communication, problem solving, collaboration. And those are kind of the key ones. And you're not just exploiting tech, you're helping helping people make decisions on standing value and feeling confident in the solution that you're offering. Good at Lily. Interesting. That sounds indeed like balancing both technical and soft skills. How do you find this job as an ace and what is it? 00:04:09:05 - 00:04:33:03 Unknown Was it a rule you saw yourself doing? Well, if you'd asked me ten years ago what I'd be doing now, I definitely wouldn't have said cloud engineer or program manager for Oracle Academy. For that matter. But, I didn't originally plan to go to university. And at the last minute, I signed up for a business management undergraduate course at my local college. 00:04:33:05 - 00:04:59:01 Unknown So in the UK, that's typically for students aged 16 to 18 straight after secondary school. However, my particular college did, did degree level, courses, and I lived at home and I spent three years learning the ins and outs of business. And when I graduated, I'll be honest, I still didn't know what I wanted to do. 00:04:59:03 - 00:05:20:22 Unknown And I was really lucky to go traveling after university. And I came back a lot earlier than I expected due to Covid. So when I got back, I still had no idea what direction I want to take. And honestly, I don't think we talk about that enough. I feel like the pressure to have it all figured out. 00:05:21:00 - 00:05:43:10 Unknown And there's often that expectation that you should know exactly what you want to do. And I felt that's, like, rarely the case. Oh, maybe that was just for me, I don't know. But eventually, my business spring kicked in and I started doing some research about what industries were growing and what careers were in demand at that time. 00:05:43:12 - 00:06:06:05 Unknown And the answer felt quite clear to me. It was technology. So I felt like you could see that it was booming for a while, but I didn't have the soft skills to break in. During lockdown, I started sort of teaching myself Python. A little bit of all, doing some online courses, reading textbooks and eventually deciding to take a on a conversion. 00:06:06:05 - 00:06:30:05 Unknown Masters in Data Science. That one year completely changed my career path and led me to my first job as a data analyst. So straight out of university. And then a year later, I joined Oracle through the Generation Oracle program, which led me to the Ace role. Thank you, Lily, for sharing your experiences in an open and transparent way. 00:06:30:07 - 00:06:54:14 Unknown I think this is really relevant for students, young adults on their way to their first entry level job. S on paper, starting a career looks like it's a straight line. In practice, it could look like a road full of twists and turns, isn't it? So, Lily, I understand this Generation Oracle program was relevant for you. Could you brief explain what Generation Oracle is? 00:06:54:16 - 00:07:22:06 Unknown Yes. So generation Oracle or Gen two, as we often call it, is a global career program run ins of many countries. So it offers roles, across a wide range of disciplines, including sales, customer success, cloud engineering and consulting. And what's great is that it open. It's open to anyone looking to start or switch a career in tech. 00:07:22:10 - 00:07:53:17 Unknown So for God, less of your age or background, the program gives you structured training over a couple of years, and by the end you sort of move into that role or something similar within Oracle. For me, it was an incredible opportunity and it really gave me the foundation I needed to become a fully fledged ace. I will say as well, if you're curious to hear any more about the Jono experience, then do keep an eye out because I've heard there's a dedicated Jedi podcast coming soon. 00:07:53:19 - 00:08:16:01 Unknown But you'll be able to hear from others who have gone through the same program. That sounds good. Lily will stay tuned for the general podcast a bit from another angle. Now, if I may. The Daisy, which is the Digital Economy and Society Index published by the European Commission, presents on entry level IT jobs and the digital skills gap. 00:08:16:05 - 00:08:48:15 Unknown A couple of interesting things, like around 40% of adults in the European Union lack basic digital skills. Many entry level IT roles now require more than just basic skills, as candidates need to know coding, cloud and analytics tools. This means also a lot of self-study being important to enter the IT job market. Lily, what advice would y

In this episode host Oracle Academy Program Manager Benelux & DACH Rik Bleeker speaks with Oracle expert Thomas Minne on the crucial intersection of Artificial Intelligence and data security, explaining why the Oracle Database is foundational to both. Drawing on his 15 years as a DBA and current role in Oracle's EMEA CTO office, Thomas shares practical strategies for implementing AI responsibly without compromising sensitive information. Listeners will learn how features like Real Application Security and Label Security safeguard data, why AI vectors require the same protection as raw data, and hear real-world stories from industries like finance and healthcare. Thomas also discusses how AI can both enhance and threaten security, and offers career advice to students keen on mastering IT fundamentals and safely experimenting with Oracle LiveLabs. Whether you're a student, educator, or just curious about AI security, this episode is packed with insights to help you innovate confidently and securely. -------------------------------------------------- Episode Transcript: 00:00:00:00 - 00:00:35:13 Unknown Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to the Oracle Academy Tech Chat, where we discuss how Oracle Academy prepares the next generation workforce. 00:00:35:13 - 00:01:08:08 Unknown I'm your host, Rick Bleeker, are being the Oracle Academy program manager for the Benelux and the region. In this episode, Oracle expert Thomas Minne explores how artificial intelligence and data security intersect. And why'd Oracle Database is at the center of this? All with 15 years of DBA experience and now part of Oracle's EMEA CTO office. Thomas shares real world insights on how organizations can use AI responsibly while protecting sensitive data. 00:01:08:10 - 00:01:35:18 Unknown From healthcare to finance, I offers huge opportunities, but only if security is in from the start. The topics we're going to cover today is why I makes data security more important than ever. How Oracle databases features like real application security and label security protects sensitive data. The risk of vectors in AI workflows. Why they need the same protection as raw data. 00:01:36:00 - 00:02:12:12 Unknown Real world stories of securing large financial systems. AI as a double edge sword basically strengthening the defenses but also usable by attackers. Career advice for students master it fundamentals. Explore AI workflows, and practice safely with Oracle Life Labs. So security also today isn't a barrier. It's an enabler. With the right governments, access controls, and hands on learning. Students and educators can explore AI confidentially and responsibly. 00:02:12:14 - 00:02:45:19 Unknown Today, we're joined by Thomas Minne, Oracle database Expert and Data Security Blackbelt. Thomas, welcome and an absolute pleasure to have you on this podcast. As a start, Thomas, could you tell us about your background and current role at Oracle? Thank you Rich. Hello everyone. Well, I work in the EMEA office of the CTO at Oracle. So focusing on data security, I have spent 15 years as an Oracle DBA, starting in infrastructure and gradually moving closer to application development, helping teams build performance and world design systems. 00:02:45:20 - 00:03:16:20 Unknown I'm also an Oracle Certified Master. In my current role, I advise customers on protecting their most valuable assets and their data. I specialize in Oracle database security features like encryption, auditing, identity and access management, data masking also, and other security goodies. So my work combines engineering, technical representation and also collaboration with project management, all with one goal keeping data safe while enabling innovation. 00:03:16:23 - 00:03:41:11 Unknown That sounds good Thomas. Thank you so much. So today's topic is AI and security and domains. If I look at the top 60 global technical roles, I and cloud roles are strongly represented in the top ten in various roles and jobs. Why is security so important in the context of AI and how does it connect to the Oracle database? 00:03:41:13 - 00:04:15:12 Unknown Great question. First, AI isn't magic. It's just a set of tools that process data. And whenever we talk about data, security becomes essential. AI system use techniques like larger language models, lens vectorization and retrieval, augmented generation, and drag. All of these interact with data and sometimes highly sensitive data. For example, in healthcare, Oracle Database Store patient records. You can't connect that kind of database directly to a public AI model. 00:04:15:12 - 00:04:54:06 Unknown You could accidentally expose private medical information. I can absolutely add doctors and researchers, but only if access is controlled, the right person at the right time, and the right context. Without those safeguards, the risks outweigh the benefits. And that's the challenge. Making sure that even if the data are highly sensitive, we manipulate those data safely to sarcomas. Listening to the security on its own in it is already a challenge to what is your opinion, a security, an extra challenge for companies when enabling with new AI capabilities? 00:04:54:08 - 00:05:19:14 Unknown Exactly. Companies are no longer asking should we use AI? They are now asking how can we use AI securely? That's where Oracle Security Features comes in, helping organizations build secure, compliant pipelines for AI solution while still benefiting from AI. Spoiler. And is that challenge is not taken seriously. It will prevent them to move on with their project. 00:05:19:16 - 00:05:55:00 Unknown Got it. Thomas. So, as we all know, security is crucial for organizations. Community security processes, however, are often seen as painful or complex, time consuming and even slowing down projects. How do you look at this? It's true. Unfortunately, and security can seem like extra work, but it is the reality. You can't escape it. The potential damage from the breach to both individuals and companies is huge, and companies must also be compliant with the different regulations. 00:05:55:02 - 00:06:19:03 Unknown I like to flip the perspective. Security can actually. Oh, to move you to move faster. If you can guarantee that only authorized holes in your application can see sensitive data. You unlock the ability to use that data in AI workflows with confidence. Without that, companies tend to lock their data in a bunker safe, but effectively use less. 00:06:19:05 - 00:06:45:08 Unknown So security becomes an enabler. It's the condition that allows you to use AI responsibly. The closer AI tools gets to the data, the more fine grained access control becomes non-negotiable. Think of it as an investment. If you understand your data, its sensitivity, and how to control access, you can safely leverage powerful AI capabilities. Okay, okay, it almost got it. 00:06:45:08 - 00:07:09:18 Unknown But even then, still, there are multiple options. So why the Oracle database? There's a lot of new open source tools that could help build AI pipelines, aren't there? Yeah. It's true that there are two key points. First, the sensitive data there are already in the Oracle database. And many of our customers are already running critical system on our infrastructure. 00:07:09:19 - 00:07:41:22 Unknown And they're happy with the performance but also the availability of our platforms. So moving data into another system like an open source vector database forced you to duplicate security measures across platforms, adding complexity and risk. In addition, you may lose the benefits of a highly available and performant platform. So, Gunns Oracle Converged Database strategy lets you store data, owns and run multiple workloads SQL, graph, vector search, analytics, spatial all in one place. 00:07:41:22 - 00:08:13:21 Unknown So security is built into the core, not bolting on later. With Oracle 23 AI database, these capabilities are unified, enabling innovation without compromising protection. Okay, clear. Understood. Thomas, thanks for elaborating. And but how do you look then at the relationship between data governance on one side and AI security evolving on the other? Data governance is absolutely critical. The team help us understand what data we have. 00:08:13:21 - 00:08:40:08 Unknown It's sensitivity and applicable regulations. They're the bridge between technical teams and compliance requirements. Simply put, you can't design an effective security strategy if you don't know which data is sensitive. For example, when I worked at a major bank in Luxembourg, I collaborated with colleagues from the data governance and business intelligence team to design security for a new data warehouse. 00:08:40:13 - 00:09:18:22 Unknown We classified the data and determine how to secure it. Access was controlled along multiple axis data domain, so over 50 domains with different sensitivity level inside each subsidiary user and access only to certain subsidiaries data on play data only HR could access it and also customer personal information, GDPR compliance and protection of personal information. All these control were unforced directly in the database, so each user only saw what they were authorized to access for their workflow. 00:09:18:22 - 00:09:56:14 Unknown The same principle apply AI solution should only access allowed data features like Rear Application security, virtual Private database or label security can enforce these rules and ensures AI tools operate safely and compliantly. LeClair did. That explains about the relationship and Thomas could AI itself help improve database security in the future? You think absolute. For example, SQL server lets you run querie

AI is driving a remarkable transformation throughout the industry, delivering unprecedented productivity gains and enabling rapid insights from vast amounts of data. In this two-episode season premiere, Tirthankar Lahiri, SVP of Mission-Critical Data and AI Engines, discusses how Oracle AI Vector and embedded machine learning search are harnessing the power of AI to unlock value from enterprise data, and allow developers to build sophisticated RAG and Agentic frameworks that leverage the full power of the converged database architecture of Oracle Database — including its class-leading scalability, fault-tolerance, and enterprise-grade security. Furthermore, Oracle database provides several mechanisms to make data "AI-ready" by enabling declarative data intent for AI. In this session, we will describe these techniques, and more, to explain how to truly build an AI for data solution in this rapidly changing AI landscape! ------------------------------------ Episode Transcript: 00:00:00:00 - 00:00:34:07 Unknown Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to Oracle Academy Tech Chat, where we discuss how Oracle Academy prepares the next generation's workforce. 00:00:34:09 - 00:01:03:23 Unknown I'm your host, Tara Pierce. This is the first of two episodes on AI for data when data meets intelligence. Our guest speaker is to thank Carly Harris, senior vice president for mission critical data and AI engines at Oracle. Here's responsible for the data engine for Oracle database, including areas like AI, vector search, indexing and data compression. He also manages the Oracle Times ten in memory and the Oracle NoSQL database product teams to thank her. 00:01:03:23 - 00:01:33:13 Unknown Has 30 years of experience in the database industry and has worked on a variety of areas such as performance, scalability, manageability, caching, in-memory architectures and developer focused functionality. He has 71 issued and several pending patents. A bachelor's in computer Science from the Indian Institute of Technology and a master's in electrical engineering from Stanford University. In the first episode to thank our talks about how data makes AI intelligent and how enterprises are using AI to get greater value from their data. 00:01:33:15 - 00:01:59:19 Unknown Over to you to thank her. Hi. Hey, guys. Thank you very much for joining. It's a great pleasure to be presenting AI for data. This is an exciting time in technology. AI is ubiquitous. AI changes everything. And I actually makes data intelligent. Let's talk about that today. So you know Oracle is working on AI. As many of you know, at many levels in the enterprise stack. 00:01:59:21 - 00:02:31:22 Unknown We have AI initiatives for applications, AI initiatives for services. I for data. And we're building a lot of AI infrastructure, as you seen from the news. Now I'm going to focus on AI for data. That's the focus of my presentation today. How we bring AI, the power of AI and unleash it on enterprise data. So Oracle's goal is to make AI for data extremely simple for basically everything. 00:02:32:00 - 00:02:54:08 Unknown So no matter what kind of end user you are, whether you're an expert, an AI, or a developer, or a DBA random list, every single persona should be able to leverage AI for data. We want to make it possible for all applications to leverage AI for data and benefit all workloads with the AI for data. So this is the goal that we have for AI for data. 00:02:54:08 - 00:03:25:05 Unknown Now, there's again basically two classic kinds of AI in the classical sense. So let's quickly talk about one before I get to what's new. So the traditional AI, was basically called algorithmic AI. Algorithmic here is based on machine learning models, typically non neural net designed to do predictions classifications, forecasting etc. and for data science people, you know that there's many different machine learning algorithms. 00:03:25:07 - 00:03:44:06 Unknown And these are all now available in Oracle database. So if you want you can use one of these models. This is the ever evolving list. You can use one of these models to load to first of all to train, you know, a sorry, you could use one of these algorithms. Excuse me. I keep that in the trunk. 00:03:44:08 - 00:04:05:22 Unknown These are algorithms. You can use one of these to train models and then to run inferencing using these models. So you imagine you can take, you know, linear linear regression. The algorithm used that to train a model and then applied that to data in real time to basically do predictions. So that's what in database machine learning lets you do. 00:04:06:00 - 00:04:30:18 Unknown And we've had this, capability for a while now. So what is new is something called I vector search, which is the primary focus of a presentation today. And this is newer, you know, and if this is beyond classical machine learning. So basically yeah vector search the new technology that enables searching for data by semantics rather than values. 00:04:30:20 - 00:04:54:11 Unknown The why why is this important? Because if you look at what databases traditionally do, for those of you who've been in the database field or have studied databases, databases essentially do what we call value based searches, where given a value, they can search by that value, like for instance, finding the revenue by each product. That's a very typical search you run inside of a database. 00:04:54:13 - 00:05:22:10 Unknown And they've excelled at this through various, you know, techniques like query optimization, SQL document processing, etc.. However, there is an ever increasing volume of unstructured data which you really can't search by value, but they have to be searched by semantics or meaning, like, you know, photos or images or description. Long complex textual descriptions. There's no real value that you can search those with. 00:05:22:10 - 00:05:52:08 Unknown Effectively, you need to search them essentially by their semantic content, not by the value content. For instance, finding products that match a particular photo or match a description that's not really something a database could do very well in the past. And this is a very important, an ever growing use case, because, you know, businesses need to do this today on a routine basis, forgetting about AI just in general to keep the business running in a healthy fashion. 00:05:52:10 - 00:06:25:14 Unknown There's a lot of examples of use cases where a business needs a search its data by, sort of the semantics. For instance, if you know, you have parts going into the sub line for manufacturing, the photo, the part should, quickly tell you whether that part might be defective, when customers log in to e-commerce sites, then when you browse products, so you try to check out a certain product, there is a desire from the e-commerce site to see what else they could then recommend to you in real time. 00:06:25:16 - 00:06:43:19 Unknown These are all examples. Another one is, of course, biometrics. You know, I'm coming in to the airport. I need to, you know, I go through facial recognition. They want to make sure that I'm the person I said I am when I, you know, when I submitted my visa application. So all of these cases require semantic search, not value based search. 00:06:43:21 - 00:07:11:12 Unknown And, vector searches. Exactly. That enable searching data based semantics. That's precisely what it does. And it does that using a construct primitive known as a vector, which is very simple actually. You know, if you think about this, the beauty of this is the basic concept is very easy, very simple. A vector is simply a long string of numbers that capture the semantics of much more complex data. 00:07:11:12 - 00:07:36:14 Unknown And they're produced by something I call black magic deep learning, machine learning models that take this, you know, unstructured set of data on the left, apply these complex algorithms and machine learning algorithms to that data and then outcomes a vector. It's actually incredible that this this actually works, that you can take something as sophisticated as a Picasso painting and convert that into a string of numbers. 00:07:36:14 - 00:07:59:16 Unknown That represents that painting. That's basically what a vector does. It's a string of numbers encoding the semantics. And once you do that, well, how do you then measure for similarity? The way you do that is by measuring the mathematical distance between the vectors. Now for those of you who've of course all of you are familiar with the vector concept, I'm sure from mathematics and physics. 00:07:59:18 - 00:08:22:09 Unknown Basically, vectors are points in multidimensional space, and there's many different ways to measure distance between them. You know, a simple example, a simple distance function is what we call Euclidean squared. We just take the square of the difference, the sum of the differences of each coordinate. That's a that's one distance for a function. However, there's many formula for distance. 00:08:22:11 - 00:08:45:07 Unknown And each machine learning model and each data scientist prefers a different one. Let's talk about how vectors get used in the real world. Now, if you think about, a very simple business example, I know that most of you not not, you know, business people, but most of you use products and sometimes, you know, products go wrong and you have this file, you know, ask for help from customer support. 00:08:45:08 - 00:09:10:11 Unknown Support incidents are very complex, documents, very complex entities. They involve a lot of different attributes. And typically looking for similarity for support incidents. Is this tricky? So a very simple exam

AI is driving a remarkable transformation throughout the industry, delivering unprecedented productivity gains and enabling rapid insights from vast amounts of data. In the second of a two-episode season premiere, Tirthankar Lahiri, SVP of Mission-Critical Data and AI Engines, discusses how Oracle AI Vector and embedded machine learning search are harnessing the power of AI to unlock value from enterprise data. AI is triggering an incredible transformation across the industry, enabling breakthrough improvements in productivity and rapid insights across massive volumes of data. However, in order to fully harness the power of AI, it is necessary to enable AI processing where the data resides. Oracle AI vector and built-in-machine learning search bring the power of AI to enterprise data, and allow developers to build sophisticated RAG and Agentic frameworks that leverage the full power of the converged database architecture of Oracle Database — including its class-leading scalability, fault-tolerance, and enterprise-grade security. Furthermore, Oracle database provides several mechanisms to make data "AI-ready" by enabling declarative data intent for AI. In this session, we will describe these techniques, and more, to explain how to truly build an AI for data solution in this rapidly changing AI landscape! ------------------------------------------------ Episode Transcript: 00:00:00:00 - 00:00:36:04 Unknown Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to Oracle Academy Tech Chat, where we discuss how Oracle Academy prepares next generation's workforce. I'm your host, Tyra Peirce. 00:00:36:06 - 00:01:02:02 Unknown This is the second episode in our two part presentation. AI for data when data meets intelligence. In this episode, our guest speaker to thank Tirthankar Lahiri, senior vice President for mission critical data and AI engines at Oracle, concludes his presentation on AI and enterprise data. If you've not heard episode one yet, please go to oracle.com/podcast where you will find all episodes of Oracle Academy Tech Chat. 00:01:02:04 - 00:01:32:05 Unknown Now let me hand over two to thank for the conclusion of this presentation by. Hey guys, thank you very much for joining. It's a great pleasure to be presenting AI for data. Now let's talk about vector sequel. I've already mentioned this briefly earlier, so I won't spend too much time on this, but basically you can do vector distances to find similar, objects using the vector distance function and very simple query finding the customers that are similar to this photo. 00:01:32:07 - 00:01:55:00 Unknown And I wonder what the top five customers and we could add other complex conditions. Like I said earlier, maybe only one customers in San Francisco that match this photo. Again, that filter will be added to the query to find only the customers matching the photo in San Francisco. We could join, various with other tables as well. 00:01:55:01 - 00:02:25:20 Unknown For instance, we could join it with a status table that finds the customers only with a certain spending tier. So this sort of, you know, extension gives me, again, as I said earlier, the power of composing SQL with complex conditions to run very sophisticated searches. Okay. Once again, in the query, you can also specify how accurate you want the search to be, regardless of the index accuracy. 00:02:25:20 - 00:02:48:01 Unknown You can make a search more accurate by spending more time on the search by going deeper in the index. Same deal. The index. The default accuracy. Maybe the default was that 85%, but I want 95% for a certain search. I want to do a deeper search. This directive with the SQL lets me do exactly that. I can specify again how much I want in the SQL itself. 00:02:48:01 - 00:03:13:16 Unknown Maybe it's a different search. Maybe my recommendations initially were great. I want like a really deep recommendation based on my last search. My last browsing or buying patterns. So this lets me crank up the knob, crank up the dial rather for the accuracy based on my use case. Again, to allow the search to proceed deeper into the vector index. 00:03:13:18 - 00:03:34:07 Unknown Okay. All right. I'm going to, you know, vector index support transactions. There's not a whole lot to say about that. As you update the data, the vector indexes get maintained. The core indexes, you know, I'm not going to spend a whole lot of time on this because some of this is very oracle specific. But we scale our Oracle database in a number of different ways. 00:03:34:09 - 00:03:58:12 Unknown And each of those scale out mechanism, the Oracle database runs on multiple physical computers. All of those mechanisms support vector indexes. So vector vector search can scale out on nodes of a compute cluster easily. You could also scale out using something called sharding, which is a way to scale the vector, the result to a global scale. 00:03:58:12 - 00:04:18:02 Unknown So imagine I have, you know, a database that's logically sharding across multiple continents. I essentially can build a vector index on each shard and do a global search that runs very fast, because if I'm searching for products that are, let's say Italian coaches, for instance, I would only search the Italian shard and not the other, the other shards. 00:04:18:02 - 00:04:38:19 Unknown So you get performance improvements as well as localization of your search results. Okay. So I'm going to skip some of this and go to the next step. So I want to talk about. So some some just some simple use case vector search before I get to my other topic I wanted to cover quickly today I think I have ten minutes left. 00:04:38:23 - 00:05:03:02 Unknown So yeah. So there's lots of use cases. Like I said, for just plain vanilla I like to search lots of use case. I just find me similar support tickets. Find me someone matching this biometric pattern. Similar products find me manufacturing defects. You know, text search using some similarity. If I miss similar documents or, you know, browsing made, etc. those are very standard vector search case. 00:05:03:02 - 00:05:25:09 Unknown But let's talk about generative AI. That's, you know, the big new thing nowadays. And generative AI is really what made vector search very, very important as a primary use case for vector search because it lets you interact with business data using natural language. So why do I do a vector search for this? Because it lends to all of the work. 00:05:25:09 - 00:05:54:03 Unknown Anyway, you know, everyone here must have used GPT or Grok or Gemini. Why do I need vector search? Well, here's the reason why. Generative AI is, basically answers natural language questions. You ask a question, for instance, in the support example, I want to know why my laptop keeps rebooting as an example. I also love them. They basically uses the question and it's general knowledge to answer the question. 00:05:54:03 - 00:06:13:21 Unknown And maybe it doesn't know. It might get a bad response if you just toss them ungodly without any other other information. You may not get a good answer that you like. It might. It might tell you that just by buying your laptop with a laptop is rebooting. Buy a new one. That's not a good answer, but I spent $20 buying a laptop and I wouldn't want to hear that. 00:06:13:23 - 00:06:37:00 Unknown Especially if it was a MacBook that was expensive. That's a bad answer for me. This is not a great answer. And why is that? Because it doesn't know anything about your support incident or other incidents. So it alarms are very, very smart, but they're generalist. They're trained on broad data from the internet, not on specific private data. 00:06:37:02 - 00:06:58:07 Unknown And they can also hallucinate as we know. Right. So what we need to do is to add vector search to improve results. Search quality. What we do is using vector search, we could augment prompts with private database content to provide better answers, which avoids having to create an alarm on sensitive data and this is called drag. 00:06:58:07 - 00:07:21:01 Unknown As everyone knows, this is a very popular technique today. Retrieval augmented generation. So you could again include the question in a vector sent to a vector database to find relevant support incidents, that dig into the reports and augment them with the reports and the question, and then send the whole thing there alarm and then get a better answer. 00:07:21:03 - 00:07:54:05 Unknown It said, you know, it might say, hey, you might need to apply the OS update if that's what you're seeing, because there could be other reports that look similar. Now, you could do even better with Oracle database or the enterprise database to handle that search, because now I can also include customer data and product data, not just the support vectors, but other information that I can also use to augment the response with, to provide even further clarity on what was going on with that customer. 00:07:54:07 - 00:08:27:07 Unknown So again, same deal. I send the question to the customer, to the to the vector database to generate the vector, to look up relevant support request. So I have the question why does my laptop keep reporting a convert that to a vector? I use that to search the vector database, and then I use the vector database to not only generate the incident reports, but I also return the matching product and customer data to find the reports, the support, incident description and resolutions augment them with product information. 00:08:27:07 - 00:08:52:13 Unknown So this is the laptop with a certain middle manufacturing profile. And the customer was in Las Vegas for instance. All of that is set now back to their lab, and they

In this episode host Tyra Peirce chats with Rolando Carrasco, an Oracle ACE Director based in Latin America. Rolando and Tyra speak about Multi-tenant cloud. What it is, what it isn't, and when it should be used. --------------------------------------------------------------- Episode Transcript: 00:00:00:00 - 00:00:34:01  Unknown  Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students with in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to Oracle Academy Tech Chat, where we discuss how Oracle Academy prepares the next generation's workforce.    00:00:34:03 - 00:01:02:16  Unknown  I'm your host, Tyra Peirce. Today I'm joined by our Rolando Carrasco. Rolando is an Oracle Ace director based in Latin America. He has been in the IT industry for the past 25 years, working for companies such as Hewlett-Packard and Oracle. Then in 2010, he started his own consulting firm where he is currently the CTO. His work has been focused on distributed systems, working with several integration platforms, API management tools and the cloud.    00:01:02:18 - 00:01:29:06  Unknown  He is a constant speaker at both local and global development conferences. Welcome, Rolando. Oh thank you Tyra. So to start off, can you give me a bit about your background and your current job role? Yes. Thank you Tyra. Now I'm currently the CTO for a Mexican consulting firm here in Mexico. The name is CES, and I've had this role for the past 15 to 16 years now.    00:01:29:08 - 00:02:07:13  Unknown  And as you already mentioned, my experience is focused on distributed systems. And probably, I will say, the evolution of those type of needs in terms of integration in the cloud now. And I will say that I have a mixed profile in terms of, development, if you will, and also experience on sales and pre-sales and architecture, or so I will say that I have that type of hybrid more a rosary and my experience is being focused mostly and in the Latin American region, from Mexico to Brazil.    00:02:07:15 - 00:02:32:21  Unknown  Today our focus is on, multi-tenancy and cloud computing. Can you tell me what a multi-tenancy is and cloud computing and how does it differ from single tenancy? I can say that multi-tenancy is the ability to have different organizations working separately, and that's the key. But we'll be using the same infrastructure okay. Even though they share this infrastructure.    00:02:32:23 - 00:02:57:07  Unknown  The main thing, as I said, we already mentioned is that those different organizations are isolated. They can see each other, they can see their data. And I can say that normally service providers work in this fashion. They offer their services to several gateway stations or customers. And from the infrastructure standpoint, they share the infrastructure now along all those organizations.    00:02:57:09 - 00:03:25:08  Unknown  And the difference, the difference between multi-tenancy and the single tenancy is that which single tenant, every organization use its own infrastructure. I mean, there is nothing to share between them or among them, but you need to deliver on a specific infrastructure for every single organization. So which follows on to my next question. Can you share a real world example of multi-tenant cloud implementations?    00:03:25:10 - 00:04:03:19  Unknown  Yes, absolutely. I will say that the software as a service market and the software as a service, providers and application owns most of them. And I can say that both big companies such as Oracle and small companies or even startups, they use these type of model offering these, those type of services. For example, an email application and the one that we normally use, Outlook or Gmail or any of that type of email application is a clear example of then we all have an account.    00:04:03:21 - 00:04:26:22  Unknown  The infrastructure is the same. We don't care as a user, we just use the service as its own, as it's been, offered to, to us. So, the users are not aware of that. And I will say that probably the users are not even interested in if it is a multi-tenancy or not, but all I what I was trying to I was trying sorry to explain.    00:04:27:00 - 00:04:51:19  Unknown  Is that mostly those type of SaaS applications use this model. For example, maybe you or the audience are aware of applications such as Monday.com or Bitly. The shortener, URL application, or any other type of application that you normally use that you just use and you just subscribe to it. It is so very clear example of behind the scenes is working in a multi-tenancy fashion.    00:04:51:21 - 00:05:15:22  Unknown  That actually makes sense. The Bitly one makes sense to me because I've used it before. And same with like my email. My email. Programs. I understand how that would work. Like, you access it one way, but you might be touching multiple clouds. So that's that's actually really, really fascinating for me. So on to my next question. Why do organizations choose a multi-tenant architecture over a single tenant one?    00:05:16:00 - 00:05:45:22  Unknown  I will answer that in two ways. And the first one is for service providers. These multi-tenancy model may imply the reduction of several cost and operations because instead of provisioning dedicated infrastructure and all the consequences that it that it has, they use just one single, infrastructure and that single infrastructure is the one that they operate. They your grade and then they maintain.    00:05:46:00 - 00:06:13:17  Unknown  But at the same time they isolate the organizations as as we mentioned in, in the past questions or in the previous questions. And the second thing is for organizations who create their own software, I mean, that they are looking to create a solution. They are building, an application they will like to or free to many customers, and they need to deliver it in, in such a way that they need to reduce their own cost.    00:06:13:19 - 00:06:43:18  Unknown  Then probably they are going to choose these type of models because it is going to be not that expensive. And for example, in terms of Oracle technology, a Oracle's database is a very clear example of the unorganized organization, sorry, an organization that is looking to create an application which uses a database. But it happens that these database needs to be separated, be separated because the departments needs to be isolated.    00:06:43:18 - 00:07:10:23  Unknown  Just to give an example, this type of organization can leverage from the Oracle database technology. And in the specific the database multi-tenant option one single database engine, but multiple databases running on that very same engine. So I would say that those two things are the ones that are going to make an organization to use this multi-tenancy model that is that also makes a lot of sense to me.    00:07:10:23 - 00:07:45:09  Unknown  Like if you need to separate your databases, you want to separate your data, you want to make sure that it's controlled and then only accessible by a certain group of people. That also makes sense to me as well. Which leads to the next question how does multi-tenancy impact database management in cloud applications? I will say that it reduces the complexity of managing different databases with a whole set of infrastructure, because if you think about it and you have separate databases, then you need probably different persons to manage those different layers.    00:07:45:11 - 00:08:10:14  Unknown  So in the Oracle database multi-tenancy model or in a database dependency model, it is just one single infrastructure. So you reduce the number of persons or the team that is managing the infrastructure. The second thing is the streamline is streamlining the database provisioning and the provisioning, because you just need to take care about let me say it in this way just as database.    00:08:10:14 - 00:08:38:22  Unknown  So for it that's that's the there's the thing that you need to manage and you need to deploy or, or provision or the provision instead of the whole infrastructure. The third thing is to consolidate the database management. You are consolidating in a single group of persons and sometimes it is just one single DBA. You leave me managing different databases with, you know, very same infrastructure or the very same infrastructure.    00:08:39:00 - 00:09:07:01  Unknown  You can also consolidate database monitoring. So you have a single glass of pane if you will, where you can check the different databases that you are running in this multi tenancy model, instead of having separated monitoring tools or monitoring applications, working on top of these different databases, you have one single glass of paint on modeling of new organization.    00:09:07:01 - 00:09:29:05  Unknown  You will be easier because you already have the infrastructure. You just need to provision the database for this new department or organization and probably already mentioned it, but I think is is okay to repeat it to reduce the number of DBA is managing all that infrastructure. I like that, I like that it's all about streamlining and making sure that they you don't need as many resources.    00:09:29:06 - 00:09:48:01  Unknown  Managing certain types of things like the DBA is can go out and expand into doing different types of work. And it's that's a little bit more interesting. Or you have like a, a person that is just an expert in one area, which I think  is kind of helpless. You can spread your resources out and make them a little bit more nimble and flexible.    00:09:48:01 - 00:10:21:21  Unknown  So which leads to my next question. What are the key performance challenges and a multi-tenant system, and how are they addressed in. This is one of the most relevant questions, and I

In this episode host Tyra Peirce speaks with Oracle development data center manager Ryan Lucas. Ryan tells Tyra about the key components of a data center, and what it takes to run a data center. --------------------------------------------------------------- Episode Transcript:  00:00:00:00 - 00:00:34:09  Unknown  Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to Oracle Academy Tech Chat, where we discuss how Oracle Academy helps our next generation's workforce.    00:00:34:11 - 00:00:58:17  Unknown  I'm your host, Tara Crockett Pierce. In this episode, I speak with Oracle Data Center manager Ryan Lucas. Ryan breaks down the basics of data centers what they are, how they work, and why they're essential for empowering your favorite streaming services to securing business critical data. So far to securing business critical data. Data centers are the unseen force behind modern technology.    00:00:58:17 - 00:01:27:03  Unknown  Welcome, Ryan. Thank you. Thanks for having me. So go ahead and start off. Ryan, can you give me a little bit about your background and your role at Oracle? Yeah. So I first started working as a system administrator, for the Java group at Sun Microsystems back in 2002. My responsibilities included deploying and maintainingsystems, like Solaris, Linux, and even windows servers.    00:01:27:05 - 00:02:03:20  Unknown  And I would also troubleshoot network, software and hardware issues. Eventually my responsibilities included backing up important files like source code for the Java Development Kit or otherwise known as JDK. I've been at Oracle for 16 years. Yeah. So in my current role, I help manage labs that, are essentially on-premise data centers. They may not be as large as something you would see like an on OCI site.    00:02:03:22 - 00:02:33:11  Unknown  But the labs that I support, they when you're inside them, they look like data centers. And we, they basically are used to to test Oracle engineered systems. So my group we help provide local support for the engineers of Oracle Engineered Systems. We have systems that have been released to the public. And we have systems that have not been released to the public.    00:02:33:13 - 00:03:01:03  Unknown  And so what we  are responsible for, you know, deploying, maintaining, keeping these servers running and helping create testing environments so that engineers can make sure that the engineered, that their hardware works as advertised. And then, sometimes even after hardware has been released, if a customer has some kind of concern, we may have to recreate their environment in our lab.    00:03:01:09 - 00:03:21:06  Unknown  Well, I call it lab, but it's a data center. And that way, we can try to discover if the customer's having a lot of times the customers having an issue because it's a customer error. So, you know, maybe the customer is trying to use our hardware in ways that we hadn't, you know, thought about or wasn't really designed for.    00:03:21:08 - 00:03:47:03  Unknown  But, yeah, eventually there will be some issues that we have to work through. And, and so it's it's very dynamic. So a typically like a, like an OCI production data center, you know, that is very structured. You know, all the cables are pristine a specific length. You know they push they push a new rack of servers into a gridlock station.    00:03:47:05 - 00:04:11:16  Unknown  It's there for the life of the of the rack. You may they have a field engineer come in and service some hardware, but then after it's decommissioned, they roll it out and they put in a new server. But in my in my group, we are constantly moving things around to recreate environments. It's very dynamic, very different. But it also makes it the challenge makes it very fun as well.    00:04:11:18 - 00:04:45:09  Unknown  So Ryan, kind of with that really cool introduction and background, what is a data center and what are its core components? Gotcha. Okay. So I'm going to read a formalized explanation. Just so I don't ramble off or get too technical. And then I'm going to talk about some things in my own words. So a data center is a physical facility to house a group of networked computers, servers for the remote storage, processing and distribution of data.    00:04:45:11 - 00:05:07:23  Unknown  A data center provides security, physical space, power, and cooling for racks of servers and network equipment. Those are the core components. But let me let me just I think I was trying to imagine what it would be like for someone who's never been in a data center to try to grasp the magnitude of scale that is a data center.    00:05:08:01 - 00:05:35:09  Unknown  You know, like you're if you're at home and you have your home computer, maybe it has a gigabit Ethernet port, and maybe you connect to the internet with with one internet service provider and your speed, you know, depending on what you're paying, is your bandwidth isn't huge, right? It's so hard, I think. Had I not had the experience I have, it's can be very difficult to try to imagine what a data center is capable of.    00:05:35:11 - 00:05:56:18  Unknown  It's kind of like if I were, you know, I'm driving a car and trying to imagine what it's like to drive a Formula One car, but that's not even a good analogy because it's not even a formula One car. It's a fleet of Formula One cars in each of them. Each of my racks, we have switches that can process 100 gigabits per second, 100 gigabits per second.    00:05:56:20 - 00:06:32:23  Unknown  And between each of our data centers, each of our labs, we have switches that are can process 400 gigabits per second. There's switches out there that will do 800 gigabits per second. Then there's probably even switches beyond that that I'm, you know, not familiar with yet, but so it's really hard for someone who, when you talk about the scale of what is involved and what these data centers can do and how much planning and organization goes into building them and running them, it's it can be a little hard to comprehend, you know, but it makes it fun, right?    00:06:32:23 - 00:06:56:22  Unknown  I mean, that's one of the reasons why I love my job is because I get to to work with, work with, and touch hardware that is just sometimes blows my mind. I also think about Oracle probably has some of the most advanced data centers in the world, just based on what we do as well. So like this is like the Rolls Royce of like and the Maserati of data centers and what we do every day.    00:06:57:00 - 00:07:22:08  Unknown  Which leads me to my next question. What are the different types of data centers? Right. So I was thinking back to some of my early days when I was at CERN, and I can remember someone telling me that one of the early developers of MySQL or MySQL had a server under his kitchen table. I can't even imagine what I mean.    00:07:22:10 - 00:07:40:02  Unknown  It probably was I'd like a desktop PC or a workstation. It wouldn't have even been a server because that would have been too loud. But if you think about what what happens if your power goes out or if your internet service provider goes out, there goes, you know, so I, I don't know if that's true or not. I just remember somebody telling me about being blown away.    00:07:40:04 - 00:08:11:00  Unknown  But, so you there's some companies that have, on premise, you have an on premise data center. So that's like, if I want to do all the heavy lifting myself, you know, so I'm going to build the data center. I'm going to have a facilities group that is responsible for providing power and cooling. And then I'm also going to have my own teams, you know, like system administrators, network administrators to support all the hardware in that lab.    00:08:11:02 - 00:08:39:09  Unknown  And then, you know, you're also responsible for making sure you have, you know, connections to the theinternet backbone. There's there's a lot involved. So, so on premises, if some, you know, you're a company and you want to control, have that data center managed by you, then there's something called co-location or colo. And what a colo is.    00:08:39:09 - 00:09:08:16  Unknown  And then you have like a third party and they specialize in the planning and the building of the data center. They provide the cooling and, the power and you, the different companies, different corporations or different entities, they can rent space, like maybe you'll rent a floor or you'll rent a cage. And they're also responsible for the security.    00:09:08:18 - 00:09:36:06  Unknown  So I know at colo facilities, you know, they'll have retinal scanners, they'll have man traps. I've been to data centers where they have armed guards, where they have conference rooms that generate, like, white noise. So if you're in a conference room and you're trying to have a private conversation and somebody walks by, they can't overhear you, you know, now, not that anybody would be trying to listen in on your conversation.    00:09:36:06 - 00:10:06:04  Unknown  But if you know, if you're with the NSA or something, you want to make sure that nobody can overhear sensitive information. So it can be very cloak and dagger. So yeah, that's that would be one concern. If you'reat a Colo facility and you're not managing the data center, you know, but having an on premise data center, then you have like a cloud data center, which is, third party that provides compute, storage and networking, resources as a service.    00:10:06:06 - 00:10:52:23  Unknown 

Do you want to be a data engineer? In this episode, host Alba Joven speaks with Oracle Autonomous Database specialist Javier de la Torre Medina about what it takes to become an AI data engineer. Episode Transcript: 00:00:00:00 - 00:00:34:15 Unknown Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to Oracle Academy, tech chat where we discuss how Oracle Academy prepares the next generation workforce.   00:00:34:17 - 00:00:57:14 Unknown I'm your host, Alba Joven. And in this episode, I'm joined by Javier de la Torre Medina, an Autonomous database specialist at Oracle. Today, Javier and I will be talking about how to become an AI data engineer. Welcome Javier. Thank you very much Alba a pleasure to have you today here on this nice chat. Javier before we dive in   00:00:57:15 - 00:01:20:15 Unknown Can you tell us a little bit about what's your background and what's your role at Oracle? Sure. So I have it already at Oracle 13 years ago so when I when I joined and having working a lot of positions and all of the data related. So I'm working as a big data specialist, a NoSQL specialist, Oracle database specialist.   00:01:20:17 - 00:01:44:11 Unknown So always having, working to, to help customers to build data architectures and solution which has the best approach. So to help them to, get the best value of the data. So normally my day, I do workshops to show the technology and demos to show it live, architecture diagram. I also I do a lot of proof of concepts.   00:01:44:13 - 00:02:07:17 Unknown That's to, to help them to, to build the solution that their looking for. So at the end, I always been, data related, but now I have a special focus with, autonomous database, which is our, product right now in the, in the markets. I understand that you are an expert in, you know, autonomous database for those who may not be familiar what exactly it is and why is such a game changer?   00:02:07:19 - 00:02:35:15 Unknown They are markets perception that Oracle is difficult. And you need a lot of gears and expertise. In order to start using this technology. And this is our game changer because we provide the Oracle database as so some access, an ERP or a CRM. But for the technology point of view it's access, because the idea of the goal of Oracle is you can start working directly with the data and forget about everything.   00:02:35:17 - 00:02:58:05 Unknown So Oracle automatically is in charge of putting the data is in charge and doing backups is in charge of doing all this kind of, of activities. And that's why I suddenly changer. Because so also one of the good thing is that there is a lot of configuration already done. So the idea is that you don't need to be an expert in Oracle in Uni in order to start using it.   00:02:58:07 - 00:03:18:07 Unknown Even if you left the university tomorrow, you can start using, create great applications, AI application that we'll talk later about it in a matter of minutes. And this is where the business see value because even in the, in the AI space. So we see that every day this a new something is changing or something is happening.   00:03:18:09 - 00:03:40:11 Unknown So to be up to date or to be able to adapt these new changes into your application or the business is very important. So that's why is the key difference from from there or a game changer for the autonomous database. Also, one of the key things is that, we're going to talk about this concept of data engineer.   00:03:40:13 - 00:04:00:16 Unknown So I think normally when we talk about the Oracle database, we are talking about database administrators. But this concept I think is one to disappear too. And data engineers. But the good things or if someone is a DBA and is listening to us is that the knowledge to do have is still is great because you need to work with the data you need to create.   00:04:00:18 - 00:04:23:09 Unknown Move the data you know the form of the data. So on this value you can use it is still as a data engineer there. But you can forget about all these tedious talks about patching, backups, upgrades or all these things that doesn't provide value. And normally it's a stopper to to innovate on the DBAs or not, the data engineers can, benefit about all these new capabilities.   00:04:23:09 - 00:04:42:22 Unknown The autonomous database is going to provide. You have mentioned the role of AI data engineer quite a bit. Can you explain how Oracle has achieved this role? So before going into the AI engineer, let me explain. What is a data engineer? If someone is coming from a DBA or have seen Oracle has only a database point of view.   00:04:43:00 - 00:05:03:03 Unknown So I was mentioning. So one of the goal of the Oracle with the autonomous database is to focus only on the data, which is really important. But also there is a concept that we call in the autonomous database is the convert data model. So that means that we can work with any datatype. We can work with Json, we can work with data spatial.   00:05:03:09 - 00:05:26:23 Unknown We can work with a relational. We can work with graph data. It doesn't matter. This is very important because many companies want to be a data driven company but become they become data movement company. So they move data from one product to another product. And then when the business came, I need a report by one yesterday I need to buy yesterday.   00:05:26:23 - 00:05:52:01 Unknown No, there was too late. No. And this is one of the benefits that Oracle has to to be able to avoid to move data. Unless you don't need it. But also we have, great graphical interface which is called Data Studio. So I was mentioning you before that even if you left the university, today, tomorrow you can start using the autonomous database and you can become a data engineer.   00:05:52:03 - 00:06:13:18 Unknown And this is because this suite of tools which are included for free, it is something very, very important with the autonomous database, allow us to go through the life cycle of the data engineer. So the lifecycle of a data engineer has three main stages, which is load data from a source of data transform the data will be data quality and reach it and so on.   00:06:14:00 - 00:06:36:16 Unknown And then to serve it as maybe we need to serve it to a BI person who has to, prepare a report for their business. Maybe you want to serve it with an internal application because we need it for HR, marketing or so on, or even including application for third parties. So this is really very important. And all these three stages are very important from a data engineer.   00:06:36:16 - 00:07:06:04 Unknown And you can achieve it very easily with a graphical interface which is called the the, the data studio. And what we say the I know with artificial intelligence. AI is transforming every industry. But what exactly is an AI data engineer. So have been talking about data engineer. So the AI engineer go a bit farther now, something that, I see, and I hear a lot is like a AI is not going to take your job, but someone who will use it.   00:07:06:04 - 00:07:28:18 Unknown Wait. So this is very, very, very important because this is going to boost productivity. But even if it boost productivity is very important to check what the AI is suggesting because it's not going to do all the job for for us. So this is very, very important. And also in the data studio, we have included, a lot of AI features that anybody can can use.   00:07:28:20 - 00:07:49:00 Unknown But something that I would like to highlight is that all the AI features that are included are open. So it means that I can work with any level in the market. You know that tomorrow, today, open AI is really cool, but tomorrow we have a three and then we have the IPsec and they're everywhere. Is, is is changing now.   00:07:49:02 - 00:08:10:01 Unknown So something which is very important is to say, okay, from a business point of view, I want to take this technology and use it as soon as possible. But I don't want to change all the processes that I have underneath. If you have to adapt or develop something every day, you will never get anything to production or anything useful no   00:08:10:03 - 00:08:26:17 Unknown And that's why in the database we are able to connect to any, and we are able to suggest or to work in order to improve this kind of pipelines or data load and all this kind of features that we like to highlight, you know, so this is very important.   00:08:26:19 - 00:08:50:17 Unknown I mean when we boost their productivity. But then the AI engineer go a bit farther because also on top of that we have the load transform on serve that I was mentioning before. The AI can do more things. One thing is to create synthetic data or fake data. Imagine that they have to create an application for an internal marketing department.   00:08:50:19 - 00:09:14:23 Unknown So I can use AI to generate the data model to generate the fake data. And the developer going to start working tomorrow directly. So this boost the productivity I don't have to worry too about, all these things are going to be a quickie. And also something that we can use in the autonomous database, which is very popular easily. We can work with that vector, database because the vector is a datatype is inside the autonomous database.   00:09:15:01 - 00:09:40:22 Unknown So, anybody is not familiar with the vector is that we provide is the information we provide to the NLM in order to provide, more, business related, answers. For example, we have PDFs, I have Excel. I have a lot of information, pictures that I want my NLM to help me in my business so I can do it directly inside of the autonomous database in a very easy, very easy way.   00:09:41:00 - 00:1

In this episode host Bekere Amassoma speaks with Annick Sakho, Director, Government Affairs Africa about today's rapidly evolving digital landscape and how access to technology education is a crucial factor in driving economic growth, innovation, and job creation. ---------------------------------------------------------------- Episode Transcript: 00:00:00:00 - 00:00:35:11 Unknown Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to Oracle Academy Tech Start, where we discuss how Oracle Academy prepares the next generation's workforce.   00:00:35:13 - 00:00:59:17 Unknown I'm your host, Bekere Amassoma. In this episode, I am joined by Annick Sakho who is Director of Government Affairs Africa in Oracle. So Annick to start off. Thank you for joining us. And can you share a bit about your journey into technology, how you got into Oracle and your current role as Director of Government Affairs for Africa?   00:00:59:22 - 00:01:24:01 Unknown A big hello to you, Bekere, and thank you for inviting me today. It's a real pleasure to be here with you to discuss Oracle Academy in this, podcast. Thank you for the opportunity. So I am currently the Oracle Government affairs in charge of Africa, and I am based out of Abidjan in Cote d'Ivoire, in the Oracle Cote d'Ivoire office.   00:01:24:03 - 00:02:05:17 Unknown So, you asking me about how I got into Oracle? Well, I started my career as a research and development engineer in a telecommunication company in Switzerland because I hold a telecommunication engineering degree. And later on, I joined Cote d'lvoire and joined IBM at the time when companies were starting to implement remote access to their mainframes and other computers. So, IT companies were actually in need of people who understood telecommunication to configure all these controllers and protocol, etcetera, to establish, stable, secure, remote connection.   00:02:05:19 - 00:02:42:20 Unknown And this is how I got into technology, because remember at those time, originally remote access was, about dialing up on the phone and having a modem to allow employees to connect to an office, network of telephone networks. And, since I joined technology using my telco skills, I stayed there, and my journey started a very fulfilling one, I would say, where I held, initially a pre-sales role before transitioning into a sales role.   00:02:42:22 - 00:03:11:21 Unknown I've been with Oracle almost 20 years now, and, New Year has been the same as the previous one because I was privileged to work with customers in different industries located in various regions across Africa, selling innovative solutions to support their business. And the most enriching part was the opportunity to work in a multicultural environment. To progress to a managerial role and then to lead virtual tips.   00:03:11:22 - 00:03:37:04 Unknown So when I was leading the technology cloud sales team across sub-Saharan Africa a few years ago, I realized that a lot of governments were not familiar with cloud technologies, not even with Oracle solution portfolio. However, we knew that governments have a crucial role in supporting the regulatory environment and the adoption of these technologies in the local digital economy.   00:03:37:06 - 00:04:17:00 Unknown And this is one this is, the reason why when the director, Government Affairs Africa position opened, I applied. This is what led me to, being today the government office director for Africa. In this capacity, I lead and coordinate Oracle's engagement with the African government officials and the various stakeholders like the NGO, the trade union, the industry associations, etc. and working closely, on the other hand, with Oracle Senior Management in Africa and Oracle Global Business Units.   00:04:17:02 - 00:04:51:13 Unknown And part of my responsibilities include educating government officials about our company, about our industry and more generally, about technology. Wow Annick that's quite interesting and thank you for sharing. Now how would you describe the current state of the digital divide in Africa's education sector? Interesting question. Africa's digital transformation journey is marked by significant challenges that require, strategic intervention to overcome.   00:04:51:15 - 00:05:29:03 Unknown And one of the critical areas that needs attention to ensure that the continent can fully leverage digital opportunity. Revolves around digital skills. With 70% of Africa's population under 30. There is a pressing need to reform education systems and to align with our industry needs. And, traditional education, from what I see it often does not equip young people with a skills demanding by the tech industry because we have not been able to, revovle in terms of curriculum.   00:05:29:05 - 00:06:02:19 Unknown And this leads to a mismatch between education and employment opportunities. So the digital divide in Africa's education sector remains a significant challenge, particularly at the university and high school levels, because this is a last stage before going into the workforce and before applying for jobs. While, digital transformation is accelerating globally. Many African students still face barriers to accessing quality tech education for various reason.   00:06:02:21 - 00:06:35:23 Unknown Inadequate infrastructure, limited internet connectivity, lack of appropriate training, and the lack of access to quality tech education and relevant training program impede the development of digital competency among the students. And additionally, we can also see that we have disparities between urban and rural areas where limited access to technology into the spread of digital and computing skills and, remote reach.   00:06:35:23 - 00:07:08:01 Unknown This gap limits the ability of African student to compete in an increasingly technology driven job market. The World Economic Forum had just released their report on jobs, The Future of Jobs 2025, and it really showed that the jobs will transform, and we need to be equipped to have a chance to thrive in this new environment. Companies today, they are not hiring young people based on the traditional degrees alone.   00:07:08:03 - 00:07:48:04 Unknown They hire them based on skills. This means that, you know, so should certification programs. The, certificate that they can earn will demonstrate how skilled they are. And they have now more values than having a bachelor's or a master's degrees in many cases. And knowing that, Africa has a young population, we need to have a reform of our education system to adequately equip young people with the skills needed for the digital age.   00:07:48:04 - 00:08:26:11 Unknown And this is, concern more and more, countries, being conscious about and are working towards changing things. Well, I will say that we need to democratize education and the access to digital education. And for that, we need to focus now on upskilling or reskilling our youth to bridge the digital skills gap, ensuring that our young population is prepared to participate in and to drive the digital economy.   00:08:26:13 - 00:08:56:00 Unknown Addressing this skill gap is essential for the continent's digital future. So as a conclusion, I would say that, we need to foster digital literacy and practical tech skills. Otherwise, the next generation of African professional will not be in a position to compete in a global environment, and they need to be empowered to drive economic growth and innovation across our continent.   00:08:56:06 - 00:09:38:18 Unknown This is very important. Thank you very much Annick. Well said. Now to the next question. How do you see Oracle Academy's overarching mission in Africa, and how does it align with global efforts in tech education? I had the opportunity to engage with Oracle Academy in, different African countries, and I could see the impact. Oracle Academy's mission in Africa is to democratize access to technology education by providing free, high quality computing resources, curricula and training both to the students and the educators.   00:09:38:20 - 00:10:18:10 Unknown Oracle Academy helps to bridge the digital divide because it helps equipping student and educator was essential digital skills, and by doing so, it aims to equip young Africans with the digital skills needed for the modern workforce, particularly in high demand fields such as software development, artificial intelligence, cloud computing. This mission aligns closely with global efforts in tech education, which focus on closing the digital skills gap, promoting Stem learning, and fostering innovation driven economy.   00:10:18:12 - 00:11:04:17 Unknown And when we talk about Stem learning, I would like to also stress the opportunity it gives to women and young female students to have access to technical, education, because I'm a big fan of promoting Stem for the young girls for them to, really get interest into this, subject. So, in Africa where, internet penetration and digital infrastructure are still developing, Oracle Academy plays a crucial role in bridging the digital divide that were mentioned earlier by collaborating with universities, high schools, government institutes.   00:11:04:19 - 00:11:34:18 Unknown It supports curriculum enhancement, teacher training and practical learning opportunities because we have we are giving access to students and teachers to a hub where they can find all the resources to be really educated and trained to the latest technology. And these ensure that Africa's youth is not left behind in the global digital economy. So this is a, very important role.   00:11:34:20 - 00:12:06:23 Unknown And I will say that Oracle's academy efforts in Africa are critical, a critical com

In this episode host Lorna Juma speaks with recent construction management graduates, University of Nairobi, Lewis Miringa and Joyce Ojamong about real-world applications of P6 in construction projects. Learn how Primavera P6 has shaped the careers of two recent Construction Management and explore the increasing role of tech in construction.     -----------------------------------------------------------   Episode Transcript:   00;00;09;02 - 00;00;36;01 Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to the Oracle Academy Tech Chat, where we discuss how Oracle Academy prepares the next generation's workforce. 00;00;36;03 - 00;01;13;20 I am your host, Lorna Juma. In this episode, I am joined by Lily Smearing and Jasper Jamal Rees, recent construction management graduates from the University of Nairobi. Join us as we hear their stories. Learn about, how Primavera P6 has shaped their careers and explore the increasing role of tech in construction project management. Whether you're a student, educator or professional in the construction field, this episode will offer valuable insights into the practical impact of P6 on construction projects and career growth. 00;01;13;22 - 00;01;40;16 Welcome Luis and Joyce. Now, to start off. Can you give me a bit about your background and the respective courses you undertook? Joyce, I'll start with you. Thank you. Lana. I'm so grateful to be here. My name is just a general environmental graduate and construction management graduate from the University of Nairobi. But until recently, where I am currently practicing as a scientist. 00;01;40;19 - 00;02;05;11 Data. So, I basically monitor on project site activities. Thank you. Luis. Thank you, Lorna. My name is Luis meeting. I am a graduate from the University of Nairobi on pursuing construction management. Currently working on Junior Challenge development at city. We also are developing a lot of seating data. Thank you so much. And Leo is just, to have that conversation. 00;02;05;14 - 00;02;31;29 How did you first hear about the Oracle Academy program and its inclusion of Primavera P6? Thank you. My first introduction when I came to learn about Oracle Academy was through creation. This is a student body in full construction real estate student association at the University of Nairobi. Faculty in the Built Environment and at the Department of Real Estate Construction Management and quantity serving. 00;02;32;01 - 00;02;59;12 So, I will part of the students conceived and then time which is the regression body. And the part of the initiative we had wanted to do is have also invited people who can be relevant when they graduate out in the industry. And how do you do this? Is, well, one of the ways is equipping these students with skills that actually in the industry. 00;02;59;16 - 00;03;30;12 So, part of what we're using construction is, Scheduling software. Scheduling software. So, we did that bridge broken. Think the country director. We need what I've been doing, which was well-received. They invite us a meeting them we this class with these. So, when we got there, it was like, let's get into what happened. We came to realize that these are being part of. 00;03;30;14 - 00;04;06;05 And there's a lot of an academy that offers these courses on products that Oracle offers. So, we got there, learned about. The curriculum they do offer and part of it was to have the university, partner with Oracle and get us to have account. So, though I will share the content. We were able to initiate this partnership. The university was already done was giving an account a member account where lecturers are able to sign up students. 00;04;06;07 - 00;04;36;06 Now students get to their own instances, but accounts for these accounts so they are able to access these curriculums. In on the afternoon. So, through this, I was able to learn more about D6, pretty much about the project management curriculum. Good. Even, attempts to download the BC software as a student version. Practically use it. New scenarios I need, which is really amazing. 00;04;36;09 - 00;05;10;09 And that was my first experience. And we the analytics and, thank you so much for that story. So just moving on to you. What motivated you to enroll and learn about this specific tool? And that is Primavera P6. Thank you, Lana. So, my first experience with P6 is from the Python version. So just talked about, with organized our actual training by P6, we were made aware that this is a tool that is widely used in the industry. 00;05;10;12 - 00;05;33;01 So, that motivated me to learn more about putting my video pieces as well as the resources that you provided, that Oracle provided. You were able to get tutorials from the student home and it able also be gained a certificate after the training sessions. And, just having the available resources for you to go through was motivation enough. 00;05;33;02 - 00;05;57;07 And I'm so grateful for that opportunity. How has gaining, Primavera P6 skills given you a competitive edge during your job search? So, during my job, such, there was an opportunity of, site coordinator in a construction site, and I was called for an interview, and they were looking for someone with a vast, project management skills, in particular. 00;05;57;07 - 00;06;23;09 Skills. Link. And since Primavera P6 is a skills link tool. I got to be. I was asked more about it. And the skills that I had and the knowledge that I was able to explain the cost aspects, there's considering aspects, the resource management aspects and that, let me get the job opportunity. And now, Lois, moving over to you. 00;06;23;11 - 00;06;54;04 Can you share specific examples where these skills helped you stand out or secure an opportunity? See what I can mentioning. And it's really nice when somebody asks you something that you are really conversant about. So, when I was actually attending the interview, I was asked, to give a scenario on how you would allocate resources to an activity and how will you know you, and I'm not, resources already located. 00;06;54;09 - 00;07;21;20 This is the kind of questions where you, you actually see deadlines and, and answer them because, but back in school. Oh, we interacted in the P6 till about scheduling. And so, and you are really, really conversant about it. So, it's, it's, it's a question that we answer in confidence. You even give a practical scenario of how you will schedule unit, which is actually what I need. 00;07;21;22 - 00;07;46;15 And I know it pretty much. And I am employed and another scenario, after working there for some, some time, we were actually sent to an did it for a crash program, which is also a concept in P6 when you are really lagging behind in the in, in, in in the scheduling in in addition, you know, the credit, you have to come up with a crash program. 00;07;46;20 - 00;08;19;10 Are you interested in activities and catch up with the lost time. So, part of what we were tasked to do is come up with a crash program. And if, we were given timelines when given due process and asked to come up with a schedule of how you are going to complete these tasks, which was handing over units, but 48 of them in in a period of three months, something you interact with it, you do it. 00;08;19;12 - 00;08;51;22 Because you understand it, which is actually what I need. And, turned out to be successful. So, it is it is something that is applicable out here. As much as you learn, it is good. So, what I'm hearing is a lot of, importance of academia, industry collaboration, which, you know, gives you access to industry tools. And once you are conversant with them, you know, you get a lot of confidence, gives you a differentiating factor, even when you're applying for jobs, even when you're undertaking the interview. 00;08;51;25 - 00;09;20;04 Great. Thank you so much. Now, Joyce, now that you started working in the construction industry, how are you applying Primavera P6 skills in your daily task? You learned so much that, you find that in large construction projects you have multiple contractors, multiple contractors with different tasks that, they have we have to schedule them in a way that we don't lose time as we go along the projects. 00;09;20;06 - 00;09;45;23 So daily, we schedule activities. Primavera P6 provides a work on structure. So, you want to group your activities into smaller tasks and then to be able to schedule them appropriately, allocating enough time for all the contractors. The other thing is you can monitor progress as you go along. So, you monitor progress against what was planned. 00;09;45;25 - 00;10;13;01 And that way you're able to manage time along that project. You manage cost, you know, when you extend your time plans, it comes in extra extrapolate. So, management of the project items is made using the Primavera P6. And Lois, moving over to you. Can you share, specific projects where you've used, P6 to manage timelines, resources or budgets? 00;10;13;06 - 00;10;52;04 Okay. And as I've mentioned before, it was vital, fresh program. Vital was a project that was apparently pain changing and we had to put some good input, some efforts to be able to catch up with time. So about, P6 it's a software that involves a long-term planning, budgeting and even risk analysis when it comes to, the planning aspect itself and the scheduling you get to, you get to when your activities, what breakdown structure you sequence activities inside that. 00;10;52;08 - 00;11;15;20 Then in these activities you want to assign resources to them. Once you assign resources, you are able to track at any given specific time. Is the project actually running behind schedule? And if it is and running behind schedule, whic

In this episode host Lorna Juma speaks with Dr. Lawrence Nderu on Unpacking the Database-AI Connection and Why It Matters. If you're an educator, student, or tech enthusiast curious about the backbone of artificial intelligence systems, this episode is your gateway to understanding the vital role of databases in artificial intelligence and machine learning.   -----------------------------------------------------------   Episode Transcript:   00;00;09;02 - 00;00;35;04 Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to the Oracle Academy Tech Chat, where we discuss how Oracle Academy prepares the next generation's Laplace. 00;00;35;06 - 00;01;08;10 I'm your host, Lorna Juma. In this episode, I am joined by Doctor Laurence Darrow, a lecturer and research fellow in the Department of Computing at Jomo Kenyatta University of Agriculture and Technology. Today, we're uncovering how databases, power artificial intelligence and machine learning, two of the most transformative forces in the tech world. If you're an educator, student, and tech enthusiast curious about the backbone of AI systems, this episode is your gateway to understanding the vital role of databases in AI and machine learning. 00;01;08;12 - 00;01;35;11 To start off, Doctor Lawrence, thank you so much for joining us. Can you give me a bit about your background and the classes you teach? Yeah. Thank you so much for having me. I really think that this is a very important conversation and happy and, to work with you guys to promote the use of these solutions and these technologies for the purpose of making sure that, we have a generation that is well informed and ready for work. 00;01;35;13 - 00;02;06;07 So to start with, I am a lecturer and also the chairman, Department of Computing at the Jomo Kenyatta University of Agriculture and Technology. I'm also the founder of Jacob Moffett, which is a digital innovation hub that is based at the University of Jomo Kenyatta in Gloucester. Work and culture. In technology. I currently I do teach units that relates to AI and machine learning and also applied machine learning. 00;02;06;10 - 00;02;34;01 I also do supervise the students at the level of BHB and Masters. While working on areas of AI and machine learning. And those are the areas that that that the working on. I also read research teams that are working on innovations and I Jacob, in terms of building solutions that are using AI as the basis for, solving some problems and also others that are using AI to improve the operations. 00;02;34;03 - 00;03;00;17 Thank you, doctor Larry Entwistle. Glad to have you join us as an expert to discuss this important topic. Now, could you break down the fundamental relationship between databases and AI? Why are robust databases critical for building effective AI models? Thank you. So the first thing is that the data is the food for AI. And we have had the same being said every now and then. 00;03;00;17 - 00;03;29;18 That data is the new oil. And I think that also means that we need these data to be data that is accessible in a way that is use that work. I mean, and efficient manner. So, it means that AI is being powered by data and whether this data is structured data or unstructured data. We need data to be know about is accessible and also accessible in an efficient manner. 00;03;29;20 - 00;04;01;18 So the connection really is the fact that traditionally when we dealt with the data, we were looking at it like say more or less data that was relational based databases. Now we know that data is found in many other formats. We have data, of course, in structured. We have data in semi-structured. We have data in unstructured formats. All these data needs to be stored in ways that it can be consumed, be consumed by AI, systems. 00;04;01;21 - 00;04;28;27 And that's where now the connection comes. Because the better the data, the better you are able to create models in the AI that are effective. And they are also able to answer very many questions that that one would want. So to answer that question is that the connection is clear, that we need, data to power AI systems, and we need systems that can be able to store these data in a way that that, that I can consume it in a better way. 00;04;28;27 - 00;04;54;06 And we have the pipeline. We need that pipeline that provides data and then feeds into the, AI models or AI systems so that they can be able to make decisions and improve our ability. And now, as an educator and researcher, how do you recommend teachers and institutions incorporate database hands on teaching into their AI and machine learning curricula? 00;04;54;09 - 00;05;25;13 What approaches or tools have you found most effective for engaging student in this critical area? Number one is that if I may just mention something about as a Jomo Kenyatta, we reviewed our curriculum and one of the things that we did, in the reading of the curriculum that is currently being used is that we are very keen to make sure that we retain and then and force the aspect of covering database systems. 00;05;25;16 - 00;05;57;22 So there is and you cover sections in database systems in detail, looking at how to design them to the extent of looking at the advanced concept in databases, which of course goes to the extent of talking about considering security and such aspect in databases. So, it is a very important component to when you are teaching databases, one has to consider, number one, the fact that these are the people who then go ahead and now come on. 00;05;57;24 - 00;06;26;28 I introduction to AI and also machine learning. And they will be consuming these, these databases. So what we have done is that we, able to provide this background and then when it comes to no coverage tools like Oracle databases, the country AI, which of course, I found very important because it uses AI in vector search, for data retrieval, analysis of AI driven applications. 00;06;26;28 - 00;06;52;14 It's a very well thought up idea in terms of trying to integrate advanced AI, capabilities directly to the database engine. The idea behind this is because we, we would want smart data handling capability to be ingrained in the data. We would want to have advanced analytics to be also, ingrained within these, these kind of databases. 00;06;52;17 - 00;07;20;04 And also if you think about known going to the industry, we would be the industries would work to get, insights from their data on what they can be able to do with that. So what I would say is that when you are now teaching and you look at, you have taught concept in databases, and now when you go to teaching things like machine learning or AI, you are able to show that compute the students or even the runners. 00;07;20;06 - 00;07;42;05 The connection between having a good foundation in databases and using various tools and understanding how to make use of, various, tools that are coming up. Like I mentioned, data restrict the I was at points that I needed, making the process of, being able to, to get insights from your data are very important. 00;07;42;10 - 00;08;11;12 So it means that these people, when they go in the industry, they have skills and practical skills that they can be able now to demonstrate in the industry that whatever they are, brand has value and they can and value to the businesses. So it is very relevant that as we teach, first of all, the thinking through about the curriculum, the way it is designed in such a way that it allows for students to do practical concept that leads them to be applicable to the industry. 00;08;11;15 - 00;08;52;00 It's very important and includes that exist within for or instructor for instructors that that are already online that that they can be able to use some of the courses that that are being designed for them, that they can be able to use the event for, programing, databases, that exist today at PL SQL. Like I mentioned one, we have a database programing with SQL itself to be able to give a foundation and then going to things like, artificial intelligence so that the concept in artificial intelligence, we don't just think that they can only be implemented in Python, we can implement them in Java, we can implement them in other things. 00;08;52;02 - 00;09;14;11 We just need to understand the concept. And then we are able to do that practically. That's that. That it empowers that person, empowers the students, that eventually we are able to get our, you know, our system, having done those practical's. And now for students interested in pursuing a career in, I do think they should start by building a strong foundation in database skills. 00;09;14;14 - 00;09;39;08 How does database knowledge empower their journey in AI and machine learning? Well, I think that what I would say is, number one is that if you look at the Oracle Academy, which, is a tool that is really very valuable, to teach and also, demonstrate some of the tools that also exist and also provision of software tools, cloud and also software tools. 00;09;39;10 - 00;10;00;18 And we also have BigQuery. But you can download content that you can download. And it also provides assessment that you can use in class. The idea is that you don't have to use it the way it is. You can take it and then you add or even subtract the items that you want to do it. So it's content that is ready and you can use it as it is. 00;10;00;18 - 00;10;34;23 Or you can be to, custom it the way you would want. It allows for, researchers to be able to focus on being able to improve and having something that we can start with. So, there is a point that exists, especially the library. The EDI, and power, even students we are talking about, even students logging in and

In this episode host Tyra Peirce speaks with Scott Stroz, MySQL evangelist about how Data and AI work together.   -----------------------------------------------------------   Episode Transcript:   00;00;09;02 - 00;00;34;16 Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to Oracle Academy Tech Chat, where we discuss how Oracle Academy helps prepare our next generation's workforce. 00;00;34;18 - 00;01;01;19 I'm your host, Tyra Peirce. In this episode, I speak with Oracle, my SQL developer advocate Scott Stroz, about how AI uses data, and the database skills students need to have as they work with AI. So, Scott, you're a returning guest for me. Can you give me a little bit about your background and role at Oracle? For those who may not have listened to our previous podcasts. 00;01;01;22 - 00;01;24;27 Sure. So, first and foremost, I consider myself a full stack developer and I've been a full stack developer for longer than the term full stack developer has actually been in existence. And in that time, the only technology in my stack that has remained constant is MySQL. I used it on my first job as a web developer, and I still use it today, and I've used it pretty much every day in between. 00;01;25;00 - 00;01;47;09 A lot of people, even people in the tech industry, they frequently ask, what does it mean that you're a developer advocate? And there's a lot of people I'm friends with and, I've met in developer relations, where we each kind of have like our own elevator pitch, like a quick, you know, 1 or 2 sit ins answer to basically get people to understand what it is that we do. 00;01;47;11 - 00;02;10;12 And the one that I've come up with is my job is to help developers be better at their jobs and I accomplish, or I hope I accomplish this in, different ways by producing content for developers through blog posts or, videos or podcasts such as this. I also, speak at conferences and I do a guest lectures for colleges and schools. 00;02;10;15 - 00;02;29;26 You are such a wonderful resource. And I we work together quite a bit, and I, I think it's good because I think that a lot of times developers don't understand what they're getting into or the different ways that they can develop and change codes. And I love that. I've got an expert that we can call on, and especially about this new topic. 00;02;29;28 - 00;03;00;18 So, kind of segue into that new topic. How does a I use data to learn SQL? It's a kind of a complicated answer, but it's also probably simpler than some people might think. With the recent release of Heat Wave, which is an AI solution in, Heat Wave that's available on Oracle Cloud, I've started playing around a little bit more than I had been, but it hasn't been with like the front end where I asked, I can I chat by questions, and it would give me answers. 00;03;00;21 - 00;03;22;07 It's been more feeding data into an AI engine, which in this case was heat wave Gen I. And while I was tinkering, I came to the realization that AI is not some black magic that just can pull answers out of thin air when you ask the question. It's just all based on math, and it's not even a new kind of math. 00;03;22;07 - 00;03;41;28 The math has actually been around for a long time, and I gotta say, I was a little a little disappointed. I was kind of hoping for some black magic, but for a genuine AI solution to be able to find pertinent data. So, if you ask a question, I put a chat bot the way it needs to find the answers. 00;03;41;28 - 00;04;14;16 And the first thing we need to do is we need to make sure that we get what are called embeddings of the source data. And this is basically what we use to feed in AI. And if we want it to say get embeddings for a collection of PDFs in any solution, we can actually use heat wave AI to run a stored procedure that will fetch the documents out of a bucket, a storage bucket in Oracle Cloud, and then it breaks down each document into a series of tokens. 00;04;14;18 - 00;04;43;24 Now, in the AI world, a token is a small series of a small set of characters. It can be a single word. It can be multiple words, or sometimes it can actually just be a small part of a longer word. And then using some mathematical algorithms, these tokens are converted into what we call a vector. And a vector is nothing more than an array of hexadecimal data, hexadecimal values that represent that token. 00;04;43;27 - 00;05;11;01 And this is our embedding. And those are stored typically in a database. There are other systems. This isn't just unique. The heat wave Gemini, other Gemini systems have a very similar process for ingesting the source data. And one of the most popular uses of AI solutions is what's called a retrieval augmented generation, or RAC, or what we would know as like an AI chat bot. 00;05;11;07 - 00;05;33;29 So, you open up a chat window when you start asking questions, and the AI spits back answers based off of the source data, and it's using the way it gets the answers to the questions is it actually takes the question. And using those same algorithms that you used with the source data, it actually gets embeddings for the question itself. 00;05;34;01 - 00;06;04;13 And then using some built in database functions. And in the case of heatwave and AI uses, a function that determines how far the tokens in the question are from the tokens in the source data. And again, that's some mathematical algorithm that I haven't even begun to try and understand. And with heat wave genAI, when you ask the questions, there's actually another stored procedure you can run to actually run like a chat bot. 00;06;04;25 - 00;06;41;06 And it will take the embeddings that matched in the source data and send that to the large language model that resides in the database. Or Liam is what people more commonly known as that. And it takes those that information those embeddings that matched and it generates a more human sounding response to the question. I've noticed when I've gone through and I've asked, and I a question like you can still tell it's a computer when they respond, but they are getting better and better and better, and the information coming back is excellent. 00;06;41;09 - 00;07;15;05 And it is really, really good information. They still don't have the human and the human inflection, the human tone. And you can tell when you're right, but it's getting really good. And so, then on to my next question. How can I use data to improve performance? So, because the entire process, which you know, from ingesting the data to actually retrieving relevant data from the embeddings, is based on math, the results can actually be incredibly accurate. 00;07;15;05 - 00;07;37;29 Like you just said, it's it gets better and better almost every day, and AI systems can process large amounts of data and make that the data and available. That tends to be more accurate than if you did like a database, like search, in a SQL query, or even a full text search in a database, or even better than what you get in some search engines. 00;07;38;02 - 00;08;13;02 Why does the quality of data impact the results AI provides? Well, it's funny that even in a new technology like AI in old adage is still true. And that is garbage in, garbage out. And all this really means is if you input bad or inaccurate data, your results are not going to be accurate. When you feed data into an AI system, you need to make sure that it's high quality and it's accurate because if it's not, then any results you get are not going to be high quality and they're not going to be accurate. 00;08;13;04 - 00;08;34;24 What are some of the skills that database professionals should have when they work with AI? Something a lot of people may not be aware of is that every AI solution, whether it's a chat bot or something else, it uses some kind of storage, usually a database, on the back end to store the embeddings for the data. 00;08;34;27 - 00;09;04;09 And while there's nothing particularly special or different about how we store vector data compared to other data types such as strings or dates, it's something that database professionals need to keep in mind when ingesting that data. Can I back up here? Let's go back to the. While there's nothing particularly different or special about how this data is stored compared to other data such as strings and dates, there is one thing database professionals need to keep in mind when ingesting this data. 00;09;04;12 - 00;09;31;18 Embeddings can take up a lot of space. So, for example, I was working on a demo for Heat Wave AI, and I used a PDF that was just a few megabytes in size, and it generated over 55,000 rows of embeddings. Now, the process of creating and retrieving embeddings can also be resource intensive. 00;09;31;21 - 00;09;53;02 So, there might not be special skills needed to store and retrieve the embeddings in the AI data. But we need to make sure that the system has enough resources so that the CPU and Ram is adequate, as well as having storage space. So those are probably the three things that database administrators or people who work in databases need to concentrate on. 00;09;53;02 - 00;10;11;29 More than anything else when working with the AI system. So, Scott, one final question then if you could give one piece of advice to faculty, your students, what would it be? All right, so I'm going to cheat here. I'm going to give two pieces of advice. So, the first piece of advice will be to learn as much as you can about AI. 00;10;12;01 - 00;10;32;22 AI is everywhere, probably even in places it doesn't belong. And while I think the fad is going to die down, I also think AI is here to stay. There won't be a single area in the IT field that won't be influenced by AI in

In this episode host Tyra Peirce speaks with Win Chang, Director Cloud Engineering, Susan Poser, NACI Director of Partner Engagement, and Susan Miller, Sr. Director, Global Product Security about working as a women in tech and how women can find their voice.   --------------------------------------------------------- Episode Transcript: 00;00;09;02 - 00;00;34;25 Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to Oracle Academy Tech Chat, where we discuss how Oracle Academy helps prepare our next generation's workforce. 00;00;34;27 - 00;01;01;00 I'm your host, Tyra Peirce. In this episode, I speak with Win Chang, director, cloud engineering, Susan Poser, director of partner engagement. And Susan Miller, senior director, Global Product Security, about working as a woman in tech and how women can find their voice. A little bit about my guests. Susan Miller graduated at Santa Clara University with a bachelor's in computer science and started her career as a software engineer. 00;01;01;02 - 00;01;26;26 She quickly obtained a master's in computer science and artificial intelligence and an MBA. She then moved into technical program management, overseeing program managers, release engineers, doc writers labs, and then security was added on. Now Susan is in a corporate oversight role for security assurance for products and services across all Oracle. Susan Poser has held a variety of roles during her 40-year career. 00;01;26;29 - 00;01;55;14 Susan has two Bachelors of Science, one in business and another in journalism, and then earned her MBA and finance from San Diego State University. She has held roles in finance, accounting, marketing, business operations, solution engineering, culture and employee engagement and now partner ecosystem, all for high tech companies Unisys, Teradata and Oracle. Outside of Oracle, Susan is the board chair for Athena, a global women's advisory organization. 00;01;55;17 - 00;02;25;09 When Chang majored in computer science with a minor in business at University of Houston, she started her career in software development and has held numerous roles, including technical support, education marketing, pre-sales manager, Cloud Acceleration Director and VP of Customer Experience. She is currently the Solution Engineering Director for Higher Education. She is the founder of Oracle Professional Asian Leadership and Employee Resource Group focused on raising culture awareness and providing leadership development. 00;02;25;11 - 00;02;46;07 She is also on the board for Angel Island Immigration Station Foundation, an organization committed to protect the historic site and celebrate immigrant contribution that define the strength of the United States. Thank you, Susan, Susan and Win, for joining me today. So, my first question to all of you, can you give me a bit about your background and your role at Oracle? 00;02;46;11 - 00;03;20;13 Susan Miller, do you want to go ahead and start? Yeah, sure. Thank you, chair, and thanks for having us today. I'm a senior director of global product security. I get the chance to work with all the security leaders across all our Oracle divisions, and I get to ensure that teams are adhering to the security assurance standards. So, one of my strengths then is to the ability to share best practices from other divisions and allow all at Oracle to learn from the best of the best, and then that eases their adoption and the flow of information across all the divisions. 00;03;20;15 - 00;03;45;09 Winner Susan Poser, do either of you want to jump in? Sure, I can jump in. This is Susan Poser, and I pretty much worked on the sales side of my whole career at Oracle, starting in pre-sales and then value selling to employee programs for resellers. So, when my last position was eliminated, the leader of the partner organization and the sales team asked me to join his team to help transform our culture to be more partner friendly, partner forward. 00;03;45;11 - 00;04;12;23 So now I work very closely with our sales and operations teams, as well as our sales leaders, to embed partner content, and processes into our business as usual so that our sellers will embrace and leverage our partners more as we move forward in this cloud world. And finally, when what about you as a cloud engineering director, I managed to be a cloud architect and support our sales team for higher education. 00;04;12;25 - 00;04;48;14 We cover the entire territory of the United States. Our role is to provide technical assistance to the field sales team. And a typical day for me would be participating on, calls with my direct reports, delivering presentations at a conference or, participating in customer meetings and also assisting our, customers. One of the best parts of this job, this is to be able to talk to our customers and share how or our Oracle solutions can provide and solve their most important problems. 00;04;48;16 - 00;05;08;27 I love all the diverse background that all of you wonderful women come from, and all of the different, paths you took to get to where you're at. So, leading on to my next question. Can you share a proud moment or a major accomplishment from your career so far? And this time? Susan Poser, I'd like to start with you. 00;05;08;29 - 00;05;25;20 I've had a few, but one that had the biggest impact to Oracle as well as, I think to our customers, is with my role and our value selling team, which was called Oracle Insight. A matter of fact, that's how I met win was we had done, an engagement with our customer and that she had worked with. 00;05;25;22 - 00;05;46;24 But when you think of, our value selling team or Oracle Insight, it's, you think about, like, management consultants. We hired a lot of excuse Allen McKinsey types of folks, and we would go in and work with our customers to understand how, understand what their priorities were and how technology could help enable some of their, you know, 3-to-5-year goals. 00;05;46;27 - 00;06;17;19 I was responsible for the systems and the processes and the internal and external communications, as well as the marketing. We were the longest running sales program at Oracle, and we scaled from nine people when we started the program to over 500, impacting billions of dollars in revenue. And, you know, one of the key things that enabled us to do that was because of the knowledge management, the processes and the systems that I had put together that allowed us to scale and make this impact for both Oracle and our global customers. 00;06;17;21 - 00;06;55;09 And then Susan Miller, what about you? Well, with the onset of the and quick adoption of I machine learning, that's the reason to be able to participate in many executive forums representing security and besides ensuring regulatory and privacy coverage, we're also making sure that security assurance is paramount. So, I've been able to gain adoption now of new process flows, new guidelines, practices, and I've now expanded our interactions with data scientists and other security architects and of course, others corporate oversight groups as well. 00;06;55;11 - 00;07;16;02 It's been successful, and I'm very proud of it. I can't even imagine with how AI is coming to the forefront, especially within Oracle and in the tech industry. I think that is so amazing. And then when finally, over to you again. So, when I was the key account director for a large health care company, we grew our Oracle footprint by over 1,500%. 00;07;16;05 - 00;07;45;23 And that was done by a combination of team collaboration and developing this deep, trusted customer relationship. We earned the Presidential Award for Account Management three years in a row, and it was a defining, time for me, to see how our customers, succeeded with Oracle products and solution. And then secondly, I just wanted to add that being the founder of the Oracle Professional Asian Leadership, has been a real highlight for me. 00;07;45;23 - 00;08;14;11 Today. We have over 700, members globally, and that is been something that I'm very proud about. Well, and you should be. That was the second time Win, and I engaged was with Opal and it was one of the fastest growing employee resource groups in Oracle. So, she should be very proud of that. Absolutely. I think when you and I met back when you covered that healthcare company years ago with, Java one for kids, I think that that's when we first came into contact all those many years ago. 00;08;14;14 - 00;08;34;14 You're right. So next question. How were you able to find your voice and to advocate for yourself as a woman in tech? And when this time I'm actually going to start with you. That's a great question. And I have to say that earlier in my career, I really struggled with trying to find my voice. I didn't have a mentor. 00;08;34;15 - 00;09;02;27 Matter of fact, I probably didn't even know what a mentor was. And, once I found my advocates, that made a big difference. I have to say that my I created this personal board of directors that actually two of my personal board of directors were on this call. Susan. So, they are just amazing. And, I'd say that to this personal board of directors is kind of like a baseball team where you have all different types of coaches. 00;09;03;00 - 00;09;28;18 You know, like a first base coach or a third base coach. So, I'm assembled my own board of directors, and they've been a game changer. I leverage these resources, but I have difficult tasks or proactively ask them for advice, what I needed. And I think that, really helps me to keep my head. You know, I used to think that if I just kept my head down and did hard work and everybody would know what I'm doing. 00;09;28;18 - 00;09;52;12 But the truth is that, only y

In this episode, host Tyra Crockett Peirce speaks with Wei Jiang, an Oracle AI researcher and former university professor, about the privacy impacts of AI.   --------------------------------------------------------- Episode Transcript: 00;00;09;03 - 00;00;35;11 Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies and software design to help students on their journey to becoming industry ready technology leaders. Of the Future. Let's get started. Welcome to Oracle Academy Tech Chat, where we discuss how Oracle Academy helps prepare our next generation's workforce.   00;00;35;13 - 00;01;05;09 I'm your host, Tara Pierce. In this episode, I speak with Wade Young, an oracle, an AI researcher, about the privacy impacts of A.I. To start off, can you give me a bit about your background and your role at Oracle? Sure. Thank you for inviting me today. So, before we join Oracle for 2022, I had been a computer science faculty member within the University of Missouri System for over 14 years.   00;01;05;12 - 00;01;38;03 My maintaining your background is privacy, preserving data analytics and applied cryptography currently. Hamer Research scientist at Oracle Labs East, working on privacy, preserving machine learning solutions, using secure multi-party computation techniques. We investigate price preserving solutions for both traditional machine learning tasks and fine-tuning language models as all around us. What are some of the AI impacts on personal privacy?   00;01;38;05 - 00;02;17;27 This is a great question. There are a few factors I can think of. One, from the data management perspective, requires a larger deal a large amount of data. Training data and the increasing amount of training data makes the data protection more and more challenging, especially when data come from multiple sources and contains sensitive information. The second factor I can think of is regarding the memorization capability of AI as reasoning become more accurate and use memory capability can potentially leak sensitive information.   00;02;17;29 - 00;02;48;05 For example, it happened in the past that a large language model response contains a real security number. Another issue is the fake image and news generated by A.I. So, AI generated images and attacks are very difficult to distinguish from the real ones. These fake images and news can cause a lot of harm to individuals during mutations and invading their privacy.   00;02;48;07 - 00;03;18;17 Another point is also enabling the development of smart aerosol layers and the email spams that could bypass the current malware detection systems. Why isn't a person, computer or mobile device these compromised the invasion of privacy as an agreed risk? Honestly, that is terrifying to hear. And it's so given everything is going on today that is a really terrifying thing to hear that we just can't tell the differences anymore.   00;03;18;17 - 00;03;52;02 And so, with AI, algorithms require large amounts of data to operate. How is data managed to maintain privacy? So why Burden thing to do is to really minimize the information flow so we can set up proper access control policies to eliminate unnecessary access to the data share only what is needed and keep data within their own silos. Secondly, we can apply data, anonymization, technique to hide a private information.   00;03;52;05 - 00;04;25;26 For example, we can suppress and generalize direct or indirect identifying information in front of data such as share security number, address, personal name, zip code, diagnosis. And we can also protect inundated by adding some random noise. Another tool we can use is called the encryption. So, a dating option as another layer of protection by ensuring only the party encoding the decryption key can access the original data.   00;04;25;28 - 00;04;59;23 We also need to use pricey scene technology to train a machine learning model. So, by applying different price sequencing technology, we can prevent the disclosure of training data train model, use inquiry and forensic results. A.I. combines various pieces of data about a person to make inferences, creating risks of privacy, invasion. Are these inferences subject to privacy risks as information can be used in new, unintended ways?   00;04;59;25 - 00;05;32;06 Yes, and definitely so. These inferences allow attackers to carry out certain attacks and they can potentially leak sensitive information. So, for example, membership first in attack determines if especially information was used to train machine learning models. This attack can be used to infer sensitive information about any individual who stay. There might be use theory training, which clearly pose a privacy threat to the individual.   00;05;32;08 - 00;06;13;25 Another kind of attack called the modern-day version of that modeling version of that. So, which allows Tiger here to learn the training data was some pretty soon the training data which could reveal private information. Another attack is called a model iteration attack. Which enables Tiger to derive is a similar model of the heat hidden competition model by repeatedly querying the hidden model and obtaining the information without an attacker can reproduce a highly similar model with a fraction of the cost for training the Asian model.   00;06;13;27 - 00;06;43;27 The learned model can be subsequently used to initiate model invasion and membership fee for attack. What is the commonly used privacy enhancing technologies for machine learning and what are their pros and cons? So traditionally there are a lot of crazy enhancing technologies. So, for now, the most popular ones, I would talk about a few popular ones these days.   00;06;44;00 - 00;07;11;25 First one is called the Internet of Data Generation. So basically, since any data can be generated based on certain properties of the real data in general, since other data generation are reasoned efficient, and the resulting data are effective for machine learning tasks. However, it is hard to analyze and approve their privacy preserving properties. Another thing is called the key enemy.   00;07;11;27 - 00;07;45;18 It is one the data anonymization technique. So, to make a data set anonymous, the original attribute values are suppressed and generalized, such that a data recurring in the resulting dataset is indistinguishable from at least K minus one other data writer. So, although this technique offers a far more security guarantee, it may be difficult to determine. The right amount is for K, and it is often reducing model accuracy.   00;07;45;20 - 00;08;20;22 Another very popular technique called differential privacy. So differential privacy as carefully calibrated noises to the original data model vendors overall results to prevent him for his attacks. The technique offers a formal security guarantee with a good efficiency, but it is often challenging to know the right amount of noise to use and model accuracy can be adversely affected. Another popular technique called the Fader learning.   00;08;20;24 - 00;08;47;01 So, he is learning during training. They remain in their own silos and the model learn locally and then combine to derive a global model which can be shared among the participating parties. So though federated learning is efficient, and effective, local model parameters can still be really information about sensitive training data.   00;08;47;04 - 00;09;21;02 The technique I am most familiar race is called the secure multiparty competition. That's kind of, you know, my maybe grant to Disney's a cryptography technique allow us to train machine learning models without directly accessing sensitive training data. You can also keep the train mono use inquiry and every result private as well as guaranteed moderate accuracy. However, secure multi-party computation partygoers work hard to design and implement.   00;09;21;04 - 00;09;43;19 They are computationally expensive and do not scale well. That's a lot of information about different ways to train, and it's so entirely fascinating on all of the things that are coming up that everybody's going to need to start learning about how we secure our data more effectively. When we when we enter this new era of artificial intelligence.   00;09;43;21 - 00;10;13;29 My last question, if you could give one piece of advice to faculty or students, what would it be? I said this on my working experience of the in both academia and industry. I believe collaboration is essential to find the right person to work with and achieve a highly effective collaboration. We need to be as part of our own technical domain and knowledgeable about technology and tools to the first quality.   00;10;13;29 - 00;10;34;28 Allow us to be the go-to person. Right? When I read a problem comes up the organization related to you, to your technical domain. The second quality them to find the go to person for guidance and help you there to solve a problem at hand. The side of overall high spirits. So, I would like to end this question.   00;10;34;28 - 00;10;54;27 We still coach knowing something for everything and everything. And this one thing I think that is a really wonderful piece of advice because teamwork is so essential, especially as we're going into this next phase of technology with AI and making sure that, you know, we become an expert on one thing and that we can find people to help us.   00;10;54;27 - 00;11;15;06 I think that's always a really important, important skill to have been being able to work effectively with others. So, thank you two ways for speaking with me today about AI privacy, who is very insightful. Please visit Academy dot Oracle dot com to learn more about Oracle Academy and the resources we offer to faculty and students. And please subscribe to our podcast.   00;11;15;11 - 00;11;22;25 Thanks. Way. That wraps up this episode. Thanks for listen

In this episode host Orlaith Lawton speaks with Oracle Ace Director Finland Heli Helskyaho about the importance of data and continuous learning.   ---------------------------------------------------------   Episode Transcript:   00;00;09;03 - 00;00;37;15 Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies and software design to help students on their journey to becoming industry ready technology leaders. Of the future. Let's get started. Hello, everybody. Today, in February 2024, my name is Orlaith Lawton that I'm the Oracle Academy and Media Marketing Manager.   00;00;37;17 - 00;01;08;27 And I'm delighted to say I'm here with my colleague Rania Herberg, who represents Oracle Academy in Helsinki. And Heli Helskyaho. She is the CEO for Miracle Finland OY. She also holds a master's degree in computer science from the University of Helsinki, and she's specialized in databases.   00;01;08;29 - 00;01;44;15 At the moment, she's working on her doctoral studies at the University of Helsinki. And Henry has actually been working on it since 1990. She's also an Oracle ace director and a frequent speaker at my company since she's also an author of Oracle as well. Developer Data Monitor for Database Design Mastery and a coauthor of Real World School and Feel and School Advice from the Experts, Machine Learning for Oracle Database Professionals and several other books.   00;01;44;18 - 00;02;13;01 So we are absolutely delighted to have you here, Heli. Thank you so much for joining us. And let me start off by maybe talking a little bit about to as I mentioned, you're an author and you're very interested in data and it's fantastic to have a female voice in technology. Perhaps you can give us a little bit of background about your role and how you got into technology and became an oracle ACE   00;02;13;02 - 00;02;35;01 So I always love to answer this that I always wanted to be in tech and I always loved computers and that kind of stuff, but I didn't. I actually hated computers, so I was studying mathematics and I didn't know what I want to do when I grow up. And I my father told me to take some computer science classes and I was thinking, okay, why not?   00;02;35;04 - 00;02;55;20 Because actually learning was always very easy for me. So I was thinking, it's going to be a piece of cake, you know, just some computers and that's it. But it was not. So when I took the first course, I barely passed and I didn't understand anything. So that was so frustrating because I was the A-plus student. And I just, you know, didn't understand anything.   00;02;55;28 - 00;03;16;07 So I was blaming the teacher. The teacher must be bad. And I will take another course that is taught by another teacher. But the same happened again. And then I was thinking, it cannot be the teacher, it must be me. So there's something I don't understand about computers and the computer science. And because I always loved challenges, I decided I will take more courses.   00;03;16;07 - 00;03;36;19 I never give up. So I always like to fight. So I was saying, I need to know what. What's the problem? Why don't I understand anything? And I took more and more courses. Finally, I took all their courses you can take as a minus student. And I was thinking, I still don't know anything. So I had to change my major and start with computer science.   00;03;36;20 - 00;03;58;03 So I went to see the faculty principal and I said, I want to change the computer science. And he was like, Are you kidding you? You're very good in math, but you are no good in computer science. So why do you want to change? I said, Well, you just described it. That's why. Because I really don't understand computer science, and I want to understand.   00;03;58;10 - 00;04;18;01 That's why I want to change. And he was okay, I'll sign the paper. But if you if you just decide you made a mistake, come back. But then suddenly I started to understand when I came to data and databases and all this kind of thing, I realized this is my field, so this is what I wanted to do.   00;04;18;03 - 00;04;48;18 Then I was also hired by a computer factory. So I was. I was able to see how the computer is built and it's not rocket science. So I realized this is very understandable for even somebody who is not very technical. If you could say that I'm a super tester, so I break everything I touch. So they didn't let me build any computers, but it was very, very intuitive to see the pieces that you used to build a computer and it somehow made it understandable to me.   00;04;48;19 - 00;05;13;28 So it's it's, it's not that difficult. So kind of after all that struggle, I realized that computer science is definitely for me. And I have never regret my decision. So finding data, finding databases, and now lately machine learning as well. I am so happy where I am at the moment. So this is definitely my career. So what I could tell everybody else is never give up.   00;05;13;28 - 00;05;36;26 So if you feel like you don't know something, it's just a little bit something that should be explained in another way or something that you should try yourself to understand what it actually means. So it doesn't mean that you are stupid or you are not technical or you are not whatever. It's just that you are missing a piece of information and that's why you don't understand.   00;05;36;28 - 00;06;05;09 So yeah, that's my story. In short, and I'm working on my Ph.D. So yeah, computer science is definitely for somebody who doesn't like computers in the beginning. That's really good to hear. That's really interesting to hear how you almost accidentally got into it, because I think it sounds like it was a challenge to more than anything else. But perhaps then you could give or this is more information as to the main subject areas of expertise such as data and how that has helped you in your career.   00;06;05;12 - 00;06;33;08 Well, yeah. So data, I think is everything. So there is nothing in any business if you don't have data. So that's kind of whatever the customer is working on. It's always related to data. So I think that's the reason why I find data very interesting because it has the answer to all the questions that you might have, and that leads to data quality, which is one of my favorite topics.   00;06;33;13 - 00;06;54;29 So saving any kind of data makes no sense. It has to be a good quality data, and that's why database designing is important. That's why machine learning comes important when you have good quality data. So if you have bad data, you can't do any machine learning, You can't build data warehouses, you can't do anything with bad quality data.   00;06;55;01 - 00;07;20;11 So that kind of is my favorite thing. And highlighting that good quality data is the key to everything I may need to touch back on what you were saying earlier on about computer programing, computer science and subject for those who are maybe not naturally inclined to think about it or go into it. And as you know, we have a lot of men in the technology world.   00;07;20;11 - 00;07;45;22 We don't have as many women, unfortunately. And how would you encourage girls who may be interested in trying something new and going into technology or haven't thought about even how? What would you say to girls thinking about technology? So first of all, I've been doing quite a lot of mentoring, and I usually start with the fact that people are saying that I'm not a good developer, so I cannot be on it.   00;07;45;25 - 00;08;09;07 You couldn't be more wrong because it is not about developers. It's about all kind of skill sets that you need. Developer is just one of these personas, but there's so many other skill sets that are needed in the area. So it doesn't mean if you don't like to be a developer and if you don't like programing, it doesn't mean that it's not for you because there's so many other things.   00;08;09;09 - 00;08;33;23 And I think the biggest challenge is that if if you are able to see a big picture, it's not just, you know, small, tiny details, but big pictures, you would be very welcome to it because we need people with that skill, you know, understanding. What is the big picture here? What are we trying to do? And then we have a lot of people who know the details and they are very much needed.   00;08;33;25 - 00;08;56;28 But we don't have enough people who can see big pictures. And I have so far experience that women are actually quite good in that, you know, they are raising families with a lot of children and husband and everything. And so many things are happening. And you still have to hold that project going on. So the family still has to be doing well and everything should be fine.   00;08;57;04 - 00;09;22;01 So a lot of these women are very good with big pictures and coordinating things. And I think that is the skill set that is definitely needed on it. So if you think you are not a developer, it does not mean that you are not welcome to it. There are other positions as well. A lot of that. I suppose that leads me on to the female voice in a I.   00;09;22;03 - 00;09;50;04 Obviously we think it's important to encourage girls to move into technology and learn more about us. And how important do you think it is to have a female voice, so to speak, in AI in the future? So, you know, everybody is the same and everybody thinks the same. We will have no improvements in anywhere, so we should have different kind of people who are thinking differently and seeing different things so that we can improve whatever the area is.   00;09;50;04 - 00;10;18;00 And the same goes with AI and data and all this kind of things. So we should have different people who see things differently and that's why we should have a lot of different voices to to make the field better. But also, if I think about ladies in general, I think the problem is that we are we have t

In this episode host Oracle Academy manager Tyra Peirce speaks with Mary Olson Industry Executive Director, Education at Oracle. Tyra and Mary speak about the ethics of AI in education and give practical advice on how to best use the technology while avoiding common pitfalls.   --------------------------------------------------------   Episode Transcript:   00;00;00;00 - 00;00;35;01 Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies and software design to help students on their journey to becoming industry ready technology leaders. Of the Future. Let's get started. Welcome to Oracle Academy TED Chat, where we discuss how Oracle Academy helps prepare our next generation's workforce.   00;00;35;03 - 00;01;02;08 I'm your host, Tyra Pierce. In this episode, I'm joined by Mary Olson, executive Director, education at Oracle. Mary and I speak about the ethics of AI in education across multiple fronts administrative, academic and research. A little bit about my guest. For over 30 years, Mary has been using the latest technology to drive innovation and the education system. Welcome, Mary.   00;01;02;11 - 00;01;26;07 thanks, Tyra. I'm really happy to be here. So to start off, can you give me a little bit about your background at Oracle? Sure. I can tell you a little bit about that. I actually have a fairly short tenure at Oracle. I was recruited about a little over three years ago to lead the voice of the customer strategy for Oracle from A higher education perspective.   00;01;26;09 - 00;01;49;01 And I, I feel like I'm returning to my roots because I spent about 30 years at IBM before coming to Oracle. And my favorite job there was leading our education for North America. So I feel like I'm back home. I know today you're talking about A.I., and so let's kind of get a little bit more into AI. AI's constantly changing.   00;01;49;02 - 00;02;12;24 What are some of the ways you've seen AI used in education? well, you know, it is constantly changing and  it's kind of funny because people think about it. You hear about it now a lot and they think it's new. Well, it's not new. It's been around for a really, really long time that the use cases are expanding and they're coming out in exciting new ways.   00;02;12;27 - 00;02;40;12 So when I think about how higher education and education in general is using AI, they tend to fall into some buckets. One of the buckets is streamlining the administrative processes and basically the running of the institution because face it, a university era or a school district is a business. They have to hire people, pay people, report their finances, do all kinds of reporting.   00;02;40;12 - 00;03;18;05 So there are a number of use cases around changing the way the institution is run. And that's that's probably the most significant use cases right now. They're also moving into research. So we see a lot of cases where researchers are really accelerating their discoveries wildfire research, cancer research, drug discovery, everything by using the generative and the analytical tools, machine learning tools that come with AI.   00;03;18;08 - 00;03;42;02 And so that's a really growing area. Another area that's kind of unique and that I'm finding more attention to these days is in providing students with services. So whether it's trying to help them with career guidance, what do they want to do after they graduate? Maybe help them write their resumes and polish those up? We're seeing a lot of applications there.   00;03;42;04 - 00;04;14;03 Another area that I think is kind of fun is helping to make it easier to actually teach. So we're developing use cases where they're a teaching assistant or a tutor that can help the professor actually answer questions for students. And there's a lot of applicability there. And probably I think one of the most surprising is it was two weeks ago I was reading in the San Francisco Chronicle and there was an article on how A.I. is disrupting the college admissions process.   00;04;14;06 - 00;04;37;11 And there's you know, it's actually kind of a big business to for parents often paying to help their students get into the right colleges with the college application process. And there are a number of startups out there that are saying, hey, don't pay this company a couple thousand dollars to get your students application filled out. Use our generative AI tools for free.   00;04;37;13 - 00;05;10;03 And when I looked at that article, I thought, you know, some people are saying you really shouldn't be doing that. But the California University of California has a statement of application integrity when you apply. And they're now actually saying that it is okay to use generative AI in your application process, provided it's used responsibly and ethically. Use it for content editing, for readability to make it, use it as a tool like it was designed to.   00;05;10;05 - 00;05;38;16 But they draw the line at actually plagiarism and just using it to write the product. So they say if they come back and they find out that you just used it to write the product, the application, then they will take action on that. That is so interesting for me. It's like when and I wonder, as I'm sure as we're getting out there and further, there are going to be ways to actually measure the tools in terms of like, are you creating a product or are you editing and, and things along those lines?   00;05;38;16 - 00;06;01;16 I think that that is just as you were telling me this, I was like, that is really fascinating that they're okay with it and they are disrupting that industry because what's the line of written by the code or written by you? And I'm glad that they're able to kind of to kind of take a look at that, which leads me into my next question.   00;06;01;18 - 00;06;26;11 What are your thoughts on faculty using AI in the classroom for teaching and learning? Well, I have some pretty strong opinions on that. So what I really think is that I go back to when calculators first came out and the faculty, a lot of people, a lot of teachers did not want their students using calculators because they thought they wouldn't learn the concepts of math behind that.   00;06;26;14 - 00;06;46;03 And so they were banned in a number of classrooms. But then, you know, the more they started to use it, the more they started to innovate with it. They learned how they could use the tool effectively. They could still teach the math concepts, but they could use the calculator to really accelerate the students learning and take some of the drudgery out of it.   00;06;46;05 - 00;07;09;11 I think we're going to see I used the same way. And to do that, though, I think if you're a teacher, what you need to do is you really need to understand how A.I. affects the subject you're teaching. So, for example, if you are teaching Python programing, you know you're in computer science, you're teaching Python. How can I help with that?   00;07;09;12 - 00;07;37;05 Well, I could just plain flat write the code, which happens in a lot of cases, or it can help maybe with debugging the code. And so if I were teaching Python, what I would do is I would have my students write their code, debug it, experienced the pain and agony of debugging it, and then run it through the generative tool to bring the original set of code through it to see how it debugs it and how much more effective that is.   00;07;37;08 - 00;07;58;11 And I would do that and make sure that I also included some failures. So I think it's important for them to know that just because generative AI may be writes the Python code, it doesn't mean it's perfect. You are still responsible, you still have to check it. And so I would be sure that there are some failures and ways that they can spot that.   00;07;58;13 - 00;08;28;24 And to do that, you know, just my advice to to instructors is experiment. Experiment with your own use cases. Have a couple of thoughts. I think of like I think of like my background is in is in writing and I think of, you know, a lot of times today especially I had a friend a few years ago that was an English professor at a community college, and she would talk about getting papers in where people are writing with emojis or writing with like text slang.   00;08;28;24 - 00;08;50;16 And so I think that this will help immensely. So, I mean, if you're not going in and plagiarizing, you're actually giving input there to see how writing should be done appropriately as opposed to not giving out what the saying L.O.L or TGIF or what have you. I think that that will help so they can kind of see what a structure supposed to look like.   00;08;50;19 - 00;09;14;24 The other thing that I think about with what you just mentioned is when I'm writing a Python code or a Java code or a database code, you're going to be if the AI is programed correctly, the app is learning correctly, you're going to avoid some of the pitfalls of security. Like I always think of sql injectors. I remember many years ago talking to some Oracle database expert about SQL injectors and learning how to code more securely.   00;09;14;26 - 00;09;36;14 And I think that this will kind of alleviate some of those and address those concerns as you're writing that code that it's automatically going to be coding more securely. Yes, it can definitely do that. And when you were talking about that, that also reminds me it can either of a professor who was telling me that he did have his student run the Python code through.   00;09;36;16 - 00;10;01;01 And what happened is he saw there's this moment where she wrote the code. She you know, she did that, but she didn't really understand it. And when it came out through the AI engine optimization and stuff, she said, now I get what we're trying to do. So it's a different way to tell. And just like your example of writing, you see good examples.   00;

In this episode, I'm joined by Cathye Pendley an Oracle Ace and Business Intelligence expert. Cathye and I talk about all things Business Intelligence or BI. We talk about what BI is, and the skills students need to pursue a career in BI. -------------------------------------------------------- Episode Transcript: 00;00;00;00 - 00;00;34;22  Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies and software design to help students on their journey to becoming industry ready technology leaders. Of the Future. Let's get started. Welcome to Oracle Academy Tech Chat, where we discuss how Oracle Academy helps prepare our next generation's workforce.     00;00;34;23 - 00;01;02;10  I'm your host here appears in this episode. I'm joined by Kathy Pendley, an Oracle AI's director and business intelligence expert. Kathy and I talk about all things business, intelligence or buy. We talk about what the AI is and the skills students need to prove and see. You'll see where I get messed up and I start over. So in this episode, I'm joined by Kathy Penley, an oracle AI's director and business intelligence expert.     00;01;02;13 - 00;01;29;01  Kathy and I talk about all things business, intelligence, RBI. We talk about what be AI is and the skills students need to pursue a career in by. A little bit about my guest. Kathy is a business intelligence program director at Roseann and has 30 years of experience working with Business Intelligence analytics technologies. She brings strong project management skills and a clear methodology focus to each project.     00;01;29;04 - 00;02;02;05  Kathy has rounded experience in all areas of business, intelligence and analytics, including product project management. Sara backed up their project management of analytics projects to valuations and selection for business intelligence tools, analysis, design, development and implementation of analytics solutions. And she has developed both large and small analytic application patterns and systems. Welcome, Kathy. So to start off, can you please tell me a bit about your background and your job role?     00;02;02;07 - 00;02;41;05  I am a 1992 graduate of the University of North Texas. I have a B.A. in business computer systems, and it's very similar to what most colleges would call a BBA and management information systems. I currently am a business intelligence program manager at ROSENSCHEIN, and I've been there for about a year and a half. I focused at and is to understand the nature of our business and the latest technology and then determine how the technology can best assist our businesses and make informed decisions.     00;02;41;07 - 00;03;09;12  My professional career has been focused on business intelligence. Some call it decision support back 30 years ago are you might call it also analytics today. So it has many different names, but it has been in the business intelligence area. I work for Rosatom, which is an electrical contracting company. The majority of my career it's been in consulting, focused on analytics and beer across many industries.     00;03;09;12 - 00;03;40;11  So I have experience in many industries. I would say all but about four years of my professional career has been in consulting. That is quite background. You are an expert in business intelligence. So to start off, can you give me a high level overview of business intelligence or buy business intelligence and B, I can be thought of as a superpower of turning data into actionable insights that drive better business decisions.     00;03;40;13 - 00;04;06;23  It's not just about collecting and storing information, but analyzing it in a meaningful way to understand your business performance, identify trends and make informed choices. The steps to do that. The first step in be AI is to understand your business needs. You need to know what is important to the business, and then you can start gathering the data.     00;04;06;25 - 00;04;32;09  So what kind of data do you get and buy? You can have what we call internal or external data. Internal data is something that is within your company. Like sales could be payroll, could be h.r. An external data is something that you're getting external from your company. That's like social media, maybe even weather data. And then there are also different types of data.     00;04;32;11 - 00;04;57;07  You have a structured data that sits within a database, and that's something that you'll hear where you put them in tables and you join your tables together. But then there's also unstructured data, and that's like text documents, emails. Those are kind of some unstructured data where it can be in any type of format. Now you can do your analysis in an Excel spreadsheet.     00;04;57;09 - 00;05;23;21  And and that's okay for small individual type analytics, but for more complex enterprise wide analytics, something that you're going to push out to your entire company, it's best to create a model. And a common model that is used is a star schema. And all star schema is is just some tables joined together and you have what you call a fact table.     00;05;23;23 - 00;05;45;20  A fact table is nothing more than something that has a fat sales productive. What what is the key metric that you're looking at? Then you have your dimension tables and that's basically how you want to break out your data. So you're going to break it out by time or by location. You have a dimension table for each one of those with the attributes by those dimensions.     00;05;45;23 - 00;06;10;17  A good way to think about a dimension tables. If you're looking at something and you all look at sales and you want to see it by somebody says, I want to see it by product, by time, by location. Anything after the buy is going to be a dimension, a location dimension, a time dimension, a product dimension. So that's how you kind of build a model amongst the model is designed and built.     00;06;10;19 - 00;06;34;02  You need to then load it with data and put data into the model, and that is called data preparation. Some people call it ETL, some people call it BLT, but basically that's where you go in and you clean the data, get it organized, and you loaded into the model. This can be a long process. Once it's in the model, now you can start doing your data analysis.     00;06;34;04 - 00;07;02;05  There's various tools and techniques for years to analyze the data once it's in the model. This kind of generating report, creating dashboards, performing calculations are using data visualization techniques like charts and graphs. You get that built. Then you can start looking at the actionable insights. This this is where you have the analysis. It reveals pattern trends, hidden information that helps business understand what's working and what's not.     00;07;02;07 - 00;07;29;00  This knowledge is being translated into actionable recommendations that can be implemented and improve performance. As you look at this, we talk about building this and building the chart data visualization, don't underestimate it. There are classes. There are books. If you are going to be working with the users and working in building analysis, understand and learn a little bit about data visualization.     00;07;29;08 - 00;07;56;27  A quick note is people read left, right, top to bottom. So whenever somebody looks at a dashboard, the first place they look is in the upper left hand corner, their eyes drawn up there. So you would want to put your key metric in the upper left hand corner of the dashboard that makes it stands out that allows your executives to quickly get the information without having to spend too much time digging through tables to get it.     00;07;56;29 - 00;08;23;26  I had actually never looked at it that way. That's really insightful. I just had an moment thinking about the tables and graphs and charts that I built that I was really a wonderful nugget that you just gave. So now on to my next question. What are some of the different industries that are used by different industries for actually every industry and every department within industry uses by for example, you have your construction things.     00;08;23;26 - 00;08;54;02  COLONISTS All right, look out. I'll go a little, maybe a little bit more about install rates. Retail has sales and inventory, higher education. They're looking at enrollments and salting my look at staffing. But then even departments in these industries like your h.r. Might be looking at the retention of employees, and that would be across all industries. So there is pretty much within every organization, within every department, in every industry.     00;08;54;05 - 00;09;24;08  I'd like to go over a couple of examples of how it's used differently at a couple of organizations. I want to start with the construction installer right? This is a metric that many construction companies use to determine how long it's going to take to install a particular product. Say, for example, a conduit in our electrical contracting company, we have conduits and we have an estimated rate of say, 5.2, five feet per hour.     00;09;24;10 - 00;09;43;09  And that is saying that an individual, a worker should be able to install 5.5 feet of conduit in the hour. So what happens when a given project goes down to five feet per hour? And that's just a reduction of about 10%. Not horrible, right.     00;09;43;11 - 00;10;11;22  Talking about multiple projects that we have with hundreds of people working on these projects and this rate starts going down. If you had to put in 2.1 straight, the conduit at a rate of about $50 per hour, the cost alone at 5.2, five feet per hour is $20 million. If you go down to five feet, that could cost you $1,000,000.     00;10;11;25 - 00;10;35;01  Just in revenue. And then if you ever to take into consideration if you're if you're not installing as fast,