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The Future in Tech

Author: Ray Villalobos

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The Future in Tech is a weekly series from LinkedIn Learning hosted by Senior Staff Instructor Ray Villalobos. You can watch it on LinkedIn every Thursday at 2pm ET, 11am PT. The goal of this series is to spark conversations, provide practical tips and resources to help developers work, learn, and tackle challenges related to working in the technology industry. We're talking about Generative AI tools like ChatGPT, Dall-E*2, Hugging Face by talking to some of the leaders delivering the tools, strategies and technologies that make working in technology exciting. We'll discuss how they broke into technology, business strategies, ethical concerns and technical skills. You have a chance to hear from people who are not just talking about, but building the next generation tools like Open AI and leaders who've worked for and with Fortune 500 companies like Microsoft, Google, LinkedIn, IBM, Open AI and more.
24 Episodes
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Logan Kilpatrick, who is helping to build the developer relations team at OpenAI, discusses the rapid adoption of Chat GPT and its powerful API, which has been used by tools like GitHub CoPilot to change developer productivity, as well as OpenAI's partnership with Microsoft and their mission to create AGI's that benefit humanity.
Applying for job opportunities goes beyond simply submitting applications through company websites or job boards. It involves reaching out directly to hiring managers and recruiters through cold emails or cold direct messages (DMs), presenting a personalized pitch and highlighting why you are a suitable candidate for the position. By proactively connecting with professionals on platforms like LinkedIn and requesting informational interviews, you can distinguish yourself from other applicants who rely solely on the applicant tracking system (ATS) screening process. Breaking into Google: The Power of Persistence Nick shared his experience of landing a job at Google. Despite being an intern at Microsoft in Seattle while an opportunity with Google's Nest Labs arose in San Francisco, Nick decided to RSVP to the event and not attend physically, ensuring his resume would be on file. A month later, Google contacted him, expressing interest and initiating the interview process. However, there was a period of silence, so Nick followed up with multiple emails. His persistence paid off when the recruiter scheduled his first interview. This experience taught Nick two valuable lessons: the importance of exploring alternative application channels and the significance of tenacity when advocating for oneself. It's really funny how much just caring a little bit can be a competitive advantage Common Misconceptions about Technology Interviews Some people believe that it is impossible to prepare for these interviews, assuming that anything can be asked, or that a high GPA or strong academic background is sufficient. Nick emphasizes that interviewing is a distinct skill, separate from academic performance or technical expertise. For software engineering roles, interviews often focus on data structures and algorithms, and resources like the book Cracking the Coding Interview. Data science interviews tend to be more open-ended, making preparation more challenging due to the diverse range of topics involved, which is why Nick wrote his own book Ace the Data Science Interview. Nick dispels the notion that preparation is unnecessary, highlighting the existence of common patterns, strategies, and frameworks that can be applied to tackle the most frequently asked questions in these interviews. He encourages exploring opportunities across the board without worrying about the company's size. Nick has enjoyed working in startups, experiencing roles in data product and evangelism, etc. While big companies offer attractive perks, the startup environment holds a special place in his heart, which is evident in his own venture, datalemur.com. The key to success lies in the effort
Exploring Dark Data and AI's Influence: A Deep Dive with Data Science Expert Walter Shields The Future in Tech-Powered by LinkedIn Learning 1,199 followers July 10, 2023 In this episode, I talked to Walter Shields, an influential data science expert and passionate teacher. Walter shares his journey in the field, the rising role of Artificial Intelligence, the concept of 'Dark Data', and the evolving landscape of technology in media. His unique insights provide listeners with an enriching perspective on the current state and future direction of data, AI, and media. Walter Shield's Journey and Teaching Passion Walter delved into his personal background (00:59) and the series of events that led him to immerse himself in the world of data and databases. As he found his feet in this new field, he discovered a strong passion for teaching and sharing his newly acquired knowledge, which manifested in a Meetup group (02:38). The surprising success of his Meetup group drew a large audience, affirming his belief in the widespread interest in data learning (07:29). "Those meetups, I got to tell you, they opened my eyes and it's a critical component to really get out in that space and meet others" He expressed his deep-seated desire to make learning about data accessible and interesting. Walter placed a strong emphasis on the qualities of a good teacher, particularly the ability to approach topics from various perspectives (14:49). As he shared his journey, he shed light on his fascination with SQL and its limitless possibilities (16:27). Next Episode Explore the transformative impact of AI and data in advertising and media as we talk with Danny Ma, Principal AI Engineer at Lumos, who shares his expertise in data science and its applications in the industry. Get a Notification AI's Impact and Data Science E
The AI landscape holds vast opportunities, but making informed decisions is crucial; join me as I explore a new paradign called Decision Science with Cassie Kozyrkov, a Chief Decision Scientist guiding thousands at Google in the realms of statistics, decision-making, and machine learning.
Data has been at the forefront of every breakthrough in technology, so it's no surprise that in the Age of AI, data has played a key role, helping the algorithms train and learn to think like humans. In this episode, we explore the role of data in AI with someone with a background in research, neurology and learning. Sadie St. Lawrence is the Founder and CEO of Women in Data, with a mission to increase diversity in data careers through awareness, education, and empowerment. Sadie worked in a neuroscience lab studying emotional learning and memory. She has been working in data science and AI for the past ten years. We'll explore why the AI algorithms are able to behave like humans, why they hallucinate and if it's even possible for them to reach the depths of an AGI (Artificial General Intelligence).
As AI changes the world, new roles besides developers and engineers are emerging to tackle the challenges. One of these is the role of the data translator, an analytical lead that can bridge the gap between business and technical teams. In this episode, we talked about opportunities for AI professionals who are wondering how AI is going to change their futures. We discussed the impact of AI on the future of careers in the field. We talk about the importance quality data. We touched on the issue of accuracy in AI and the development of new technologies to prevent hallucination. We also stressed the importance of understanding the right questions to ask to get good data. We discussed the need for companies to explore new areas that AI can be used to empower workers, rather than just focusing on cost reduction and cutting headcount.
Artificial Intelligence requires massive amounts of data in order to work and as companies are looking to incorporate their own information to feed Large Language models, it's important to understand the role of data in this new age. In this episode, I talked to Ado Kukic. He's the Director of Developer Advocacy at DigitalOcean, one of the web's most respected cloud hosting providers. He has over a decade of programming, development, and design experience, and is a seasoned software engineer who enjoys learning new technologies and best practices. We talked about the role of data in this new age, how companies are adjusting, his experience building a platform that uses the ChatGPT API and what Digital Ocean's more than 600k customers are doing to adjust to the age of AI.
Prompt Engineering is the next great programming language and it can help you get better results with Generative AI Tools like Chat GPT and MidJourney. In this episode, we’re exploring the best ways to talk to AIs crafting compelling and effective questions. We look at the definition of prompt engineering, prompting concepts and different approaches that yield better results. We also take a look at some of the tooling and showcase some of the results from using these techniques. I invited two prompint masters to share their techniques with us. Jai Stone is a Strategist/Creator and expert on branding who has appeared in publications like Forbes, BET, Essence and the Huffington Post. Ronnie is a Senior Software Engineer at Kubiya.ai who is a Python expert and who authored a popular LinkedIn Learning course on Prompt Engineering and Generative AI.
Born in Moscow, Lila came to the US when she was 15 without knowing the language or the culture. She grew up torn between her passion for the arts and science, but found the perfect bridge through technology. Taking a computer science class on a dare, she discovered the potential for technology to bring the magic and wonder of art to life.
Personal branding and content creation are more important than ever in today's world. Whether you're just starting or looking to take your content to the next level, it's essential to understand what it takes to succeed as a creator. Join us as we talk to Kate Strachnyi, a content strategist and author, about her journey from finance to content creation. She shares how she discovered the power of personal branding, found her passion for data and content creation, and started her content creation journey. We discuss how to build your brand, create engaging content, and connect with your audience to achieve success in today's digital world.
Github has transformed the way more than 100 million developers collaborate on projects. In June 2018, Microsoft purchased GitHub for seven and a half billion dollars. And since then, they have been the lead delivering results with many tools, including one called Copilot, which has helped developers code 55 % faster. It's no surprise that Microsoft took notice and Copilot is coming to a Microsoft app near you. In this episode, I talk to Allison Weins. Allison is a senior project manager at GitHub. She worked with many teams inside both Microsoft and GitHub and is an expert on the tools developers use daily like Copilot, Projects and CodeSpaces.
Burke Holland, Principal Developer Advocate at Microsoft comes talk to us about how Visual Studio Code is made, why it's so popular and how Artificial Intelligence is going to change the way everything is programmed.
Matt Harrison, an expert who helps teams and individuals level up Python, Data Science, and Development skills, discusses the opportunities and importance of upskilling and reskilling for Artificial Intelligence and Machine Learning, drawing from his experience in training companies like Hewlett Packard, Adobe, and Samsung.
In this episode, I talked to Denys Linkov, a Machine Learning Team Lead at Voiceflow. We explored how AI and ML are transforming the software development industry. We discussed the impact on job roles, wages, and career prospects for those currently in or planning to join the industry revolution.
Xavier Amatriain, VP of Engineering for Artificial Intelligence and Product Initiatives at LinkedIn, discusses how AI and Machine Learning fit into LinkedIn's vision to create economic opportunities for the global workforce, exploring how companies can solve new problems using AI and how humans and computers can collaborate to define the future.
Brandie Nonnecke, Founding Director of the CITRIS Policy Lab and Associate Research Professor at UC Berkeley, discusses how humans and machines can work together to solve big questions about Artificial Intelligence, including addressing Human Rights, Digital Citizenship, and governance.
Diana Kelley, Chief Strategy Officer and Cofounder of Cybrize, discusses the dangers of putting too much trust in AI, the potential for AI technologies to fail, and how companies can build resilience into their AI strategy.
John Maeda, VP of Design and Artificial Intelligence at Microsoft, discusses the role of designers and artists in the development of works using Artificial Intelligence, addressing the challenges and opportunities presented by this new paradigm.
Noelle Silver Russell delves into the technology behind deep fakes, synthetic content, and generative AI, discussing the potential for democratizing art, photography, video, and audio production, while also addressing concerns over the threat to our concept of reality.
Andreas Welsch joins this discussion to share insights on crafting an AI strategy for businesses that considers evolving technology, ethics, and legal implications, drawing from his extensive experience in managing stakeholder relationships and leading AI projects across Fortune 500 companies.
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