Microsoft Mechanics Podcast

Improve search capabilities for your PostgreSQL-backed applications using vector search and embeddings generated in under 10 milliseconds without sending data outside your PostgreSQL instance. Integrate real-time translation, sentiment analysis, and advanced AI functionalities securely within your database environment with Azure Local AI and Azure AI Service. Combine the Azure Local AI extension with the Azure AI extension to maximize the potential of AI-driven features in your applications, such as semantic search and real-time data translation, all while maintaining data security and efficiency. Joshua Johnson, Principal Technical PM for Azure Database for PostgreSQL, demonstrates how you can reduce latency and ensure predictable performance by running locally deployed models, making it ideal for highly transactional applications.   ► QUICK LINKS: 00:00 - Improve search for PostgreSQL 01:21 - Increased speed 02:47 - Plain text descriptive query 03:20 - Improve search results 04:57 - Semantic search with vector embeddings 06:10 - Test it out 06:41 - Azure local AI extension with Azure AI Service 07:39 - Wrap up   ► Link References Check out our previous episode on Azure AI extension at https://aka.ms/PGAIMechanics  Get started with Azure Database for PostgreSQL - Flexible Server at https://aka.ms/postgresql  To stay current with all the updates, check out our blog at https://aka.ms/azurepostgresblog   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Ensure high-accuracy, efficient vector search at massive scale with Azure Cosmos DB. Leveraging Microsoft’s DiskANN, more IO traffic moves to disk to maximize storage capacity and enable high-speed similarity searches across all data, reducing memory dependency. This technology, powering global services like Microsoft 365, is now integrated into Azure Cosmos DB, enabling developers to build scalable, high-performance applications with built-in vector search, real-time fraud detection, and robust multi-tenancy support. Join Kirill Gavrylyuk, VP for Azure Cosmos DB, as he shares how Azure Cosmos DB with DiskANN offers unparalleled speed, efficiency, and accuracy, making it the ideal solution for modern AI-driven applications.   ► QUICK LINKS: 00:00 - Latest Cosmos DB optimizations with DiskANN 02:09 - Where DiskANN approach is beneficial 04:07 - Efficient querying 06:02 - DiskANN compared to HNSW 07:41 - Integrate DiskANN into a new or existing app 08:39 - Real-time transactional AI scenario 09:29 - Building a fraud detection sample app 10:59 - Vectorize transactions for anomaly detection 12:49 - Scaling to address high levels of traffic 14:05 - Manage multi-tenancy 15:35 - Wrap up   ► Link References Check out https://aka.ms/DiskANNCosmosDB Try out apps at https://aka.ms/DiskANNCosmosDBSamples   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Quickly spot real-time indicators of issues as they unfold, without the need to poll or manually monitor changes in your data and without writing a single line of code. That’s what the new Real-Time Intelligence service in Microsoft Fabric is all about. It extends Microsoft Fabric to the world of streaming data across your IoT and operational systems. Whether you are a data analyst or business user, you can easily explore high-granularity, high-volume data and spot issues before they impact your business. And as a Data engineer, you can more easily track system level changes across your data estate to manage and improve your pipelines. Courtney Berg, from the Microsoft Fabric product team, joins Jeremy Chapman to explore all of the updates, explain how Real-Time Intelligence adds to what was possible with Data Activator and Microsoft Synapse Real-Time Analytics and demonstrates how this would work to derive insights and take actions automatically in a scenario with multiple live data streams across different data types. ► QUICK LINKS: 00:00 - Real-Time Intelligence 00:54 - How it’s different 02:07 - Eventstream and Real-Time Hub 03:27 - Synapse Real-Time Analytics 04:03 - See it in action 05:25 - Use Copilot to stay updated 06:28 - Filter data and set up alerts 08:25 - Sophisticated Logic and Data Integration 09:48 - Data integration to Real-Time Hub 11:23 - Workflow automation 12:18 - System events 13:30 - Additional areas of use for Real-Time Intelligence 14:02 - Wrap up   ► Link References Check out Real-Time Intelligence at https://aka.ms/RealTimeIntelligence For all things Microsoft Fabric, go to https://microsoft.com/fabric ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

Optimize the sales process by integrating internal and external data with Copilot for Sales. Create enriched email summaries, customized meeting prep documents, and actionable meeting recaps to improve customer interactions. Copilot uses AI to generate insights and suggest actions based on comprehensive data, ensuring sales teams have all the necessary information at their fingertips. Create custom AI experiences using Copilot Studio with zero code. By adding Copilot extensions, users can connect to external data sources and build tailored AI skills. Eric Boocock, Copilot for Sales Principal Program Manager, shares how Copilot for Sales works and how to build Copilot extensions to connect with other systems for personalized experiences. ► QUICK LINKS: 00:00 - Copilot for Sales 00:36 - Baseline experiences 02:13 - Bring in external data 03:26 - Use Copilot to respond to emails 03:54 - Meeting prep and meeting recap 04:52 - Security and Responsible AI 06:27 - Copilot extensions 09:09 - Publish Copilot extensions 09:40 - Wrap up   ► Link References Check out https://aka.ms/CopilotforSalesExtensibility  Stay updated on monthly releases at https://aka.ms/CopilotforSalesUpdates   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Now you can build your own highly specialized copilot using Microsoft Copilot Studio or Visual Studio Code. See how you can tailor Copilot for Microsoft 365 experiences to focus on specific tasks and use external data integration through Copilot extensions. Enhance productivity by leveraging large language models and Microsoft Graph for personalized responses. With plugins and connectors, extend Copilot's capabilities to streamline tasks and automate actions, all while maintaining context and boosting efficiency. Abram Jackson, Principal Product Manager for Microsoft 365 shows how you can get started building Copilot extensions.   ► QUICK LINKS: 00:00 - Copilot extensions 01:08 - Types of Copilot extensions 01:59 - Microsoft Graph connectors 03:20 - Plugins 04:14 - Specialized copilot 04:54 - Multiple customized copilots working together 05:42 - How to build Copilot extensions 06:45 - Plug into data-external or inside of Microsoft 365 07:31 - IDE/Visual Studio Code 08:57 - Wrap up   ► Link References To get started, check out https://copilotstudio.microsoft.com   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

Microsoft has built the world’s largest cloud-based AI supercomputer that is already exponentially bigger than it was just 6 months ago, paving the way for a future with agentic systems. For example, its AI infrastructure is capable of training and inferencing the most sophisticated large language models at massive scale on Azure. In parallel, Microsoft is also developing some of the most compact small language models with Phi-3, capable of running offline on your mobile phone.  Watch Azure CTO and Microsoft Technical Fellow Mark Russinovich demonstrate this hands-on and go into the mechanics of how Microsoft is able to optimize and deliver performance with its AI infrastructure to run AI workloads of any size efficiently on a global scale.  This includes a look at: how it designs its AI systems to take a modular and scalable approach to running a diverse set of hardware including the latest GPUs from industry leaders as well as Microsoft’s own silicon innovations; the work to develop a common interoperability layer for GPUs and AI accelerators, and its work to develop its own state-of-the-art AI-optimized hardware and software architecture to run its own commercial services like Microsoft Copilot and more. ► QUICK LINKS: 00:00 - AI Supercomputer 01:51 - Azure optimized for inference 02:41 - Small Language Models (SLMs) 03:31 - Phi-3 family of SLMs 05:03 - How to choose between SLM & LLM 06:04 - Large Language Models (LLMs) 07:47 - Our work with Maia 08:52 - Liquid cooled system for AI workloads 09:48 - Sustainability commitments 10:15 - Move between GPUs without rewriting code or building custom kernels. 11:22 - Run the same underlying models and code on Maia silicon 12:30 - Swap LLMs or specialized models with others13:38 - Fine-tune an LLM 14:15 - Wrap up   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

Use Postgres as a managed service on Azure. As you build generative AI apps, explore advantages of Azure Database for Postgres Flexible Server such as integration with Azure AI services, as well as extensibility and compatibility, integrated enterprise capabilities to protect data, and controls for managing business continuity. Charles Feddersen, product team lead for Postgres on Azure, joins host Jeremy Chapman to share how Flexible Server is a complete Postgres platform for enterprise and developers.   ► QUICK LINKS: 00:00 - Azure Database for PostgreSQL Flexible Server 00:51 - Microsoft and Postgres 01:40 - Open-source Postgres 03:18 - Vector embeddings for data 04:32 - How it works with an app 06:59 - Azure AI Vision 08:14 - Azure AI extension using PostgreSQL 09:37 - Text generation using Azure AI extension 10:30 - High availability and disaster recovery 12:45 - Wrap up   ► Link References Get started with the Azure Database for Postgres flexible server at https://aka.ms/postgresql Stay current with all the updates at https://aka.ms/AzurePostgresBlog   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics #PostgreSQL #OpenSource #Azure #Database

Prioritize incidents based on data significance, detect insider risks, and adapt protections in real-time with Microsoft Defender XDR and Microsoft Purview. Customize thresholds and risk indicators to detect anomalous behavior and prevent potential breaches with Adaptive Protection. Receive real-time DLP alerts triggered by policy matches, ensuring immediate action to safeguard sensitive data. Gain comprehensive visibility into threats and enforce policies across all devices and applications. Sravan Kumar Mera, Principal Product Manager for Microsoft Purview shares how to stay ahead of evolving threats and maintain data integrity.   ► QUICK LINKS: 00:00 - Prioritize security incidents based on data importance 00:42 - High severity multistage incident 01:29 - DLP alerts 02:24 - Insider risk activity summary 03:30 - Set up data security foundation 04:47 - Adaptive Protection 05:50 - DLP policy & Conditional Access 06:33 - Wrap up   ► Link References Get started at https://purview.microsoft.com Watch our data security playlist at https://aka.ms/datasecuritymechanics   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics    

Build low-latency recommendation engines with Azure Cosmos DB and Azure OpenAI Service. Elevate user experience with vector-based semantic search, going beyond traditional keyword limitations to deliver personalized recommendations in real-time. With pre-trained models stored in Azure Cosmos DB, tailor product predictions based on user interactions and preferences. Explore the power of augmented vector search for optimized results prioritized by relevance. Kirill Gavrylyuk, Azure Cosmos DB General Manager, shows how to build recommendation systems with limitless scalability, leveraging pre-computed vectors and collaborative filtering for next-level, real-time insights.   ► QUICK LINKS: 00:00 - Build a low latency recommendation engine 00:59 - Keyword search 01:46 - Vector-based semantic search 02:39 - Vector search built-in to Cosmos DB 03:56 - Model training 05:18 - Code for product predictions 06:02 - Test code for product prediction 06:39 - Augmented vector search 08:23 - Test code for augmented vector search 09:16 - Wrap up   ► Link References Walk through an example at https://aka.ms/CosmosDBvectorSample  Try out Cosmos DB for MongoDB for free at https://aka.ms/TryC4M   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

Leverage FinOps in Azure to optimize your cloud spend and drive accountability across your organization. With Microsoft Cost Management, gain complete visibility into your cloud costs, track spending by department or project, and forecast future expenses. Utilize management groups, subscriptions, and tags to organize costs and allocate resources efficiently, ensuring alignment with organizational priorities. Make informed decisions with proactive cost reduction recommendations from Azure Advisor and architectural best practices like Azure Landing Zones. Operationalize FinOps practices with centralized management focus and continuous evaluation through the FinOps Review assessment. Azure expert, Matt McSpirit, shows how to improve your organization's capability and operational agility with FinOps on Azure.   ► QUICK LINKS: 00:00 - Improve control on Azure through FinOps 01:01 - Gain visibility and accountability over Cloud spend 02:11 - Track and report spending 03:28- How to track costs 04:14 - Tagging resources 05:57 - Optimized efficiency07:02 - Maintain FinOps practices 08:05 - Wrap up   ► Link References How to implement FinOps on Azure at https://aka.ms/FinOps Leverage Cloud Adoption Framework guidance at https://aka.ms/C-A-F-Tagging Click-through demos at https://aka.ms/finops/guides FinOps Review assessment at https://aka.ms/finops/review Start using Microsoft Cost Management at https://aka.ms/CostManagement   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

Roll out Microsoft Copilot for Microsoft 365 at scale in three quick steps. See the methods for each to efficiently enable Copilot services: Optimize Search with data controls in place to limit exposure of information in search. Update Your Apps—both on desktop and mobile—so they are ready for integrated Copilot experiences. Grant Access to Copilot services quickly to large groups in your organization via Microsoft Entra controls. We're also introducing a new capability with Restricted SharePoint Search, which enables SharePoint administrators to define the sites where every user in the organization is allowed to files and data using search, without impacting access to sites and files for people working in sites, which are not allowed for everyone to search. With Copilot for Microsoft 365 services in place, track adoption and impact, and see how different groups in your organization are benefitting from Copilot services with the Microsoft Copilot Dashboard powered by Viva Insights. Now, even if you don't currently own Viva Insights, there is an offer for Microsoft Copilot customers to get these services included with your Copilot subscription: https://www.microsoft.com/en-us/microsoft-365/blog/2024/04/11/enabling-your-ai-transformation-journey-with-microsoft-viva/   ► QUICK LINKS: 00:00 - Steps to deploy Copilot for Microsoft 365 01:01 - How to quickly optimize search 02:24 - How to set up Restricted SharePoint Search 03:23 - Update Microsoft 365 apps on managed devices 05:34 - Grant access to Copilot services 06:20 - Copilot Dashboard included with any Microsoft 365 subscription 07:00 - Copilot Dashboard powered by Viva Insights subscription 08:38 - Wrap Up   ► Link References: Get started at https://aka.ms/DeployCopilotforM365 Watch how to get ready for Copilot at https://aka.ms/CopilotSecurityMechanics For more resources go to https://adoption.microsoft.com/copilot   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Run Linux workloads on Azure for reliability, security, and innovation. Build your entire app in Azure, using Linux and open source services. Choose from a wide range of Linux distributions, leverage cost-saving benefits with Azure Hybrid Benefit, and get seamless integration with distros like SUSE, Ubuntu, and Red Hat. Join Azure expert, Matt McSpirit as he shares why you should run your Linux workloads on Azure, and how to ensure security of sensitive data with AI-driven threat detection, Defender for Cloud, and Confidential Computing. ► QUICK LINKS: 00:00 - Run Linux workloads on Azure 00:26 - Open source distribution 02:44 - Build apps in Azure using open source technologies 03:40 - Limitless scaling and reliability 05:40 - Deploy, manage, and extend Linux workloads on Azure 06:53 - Red Hat integration 07:40 - Open source options for compute 08:32 - Extend and modernize app experiences 09:02 - Security advantages for Linux workloads 09:47 - Wrap Up   ► Link References: Get started with Linux on Azure at https://azure.com/linux   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Ensure peak performance, security and compatibility with Azure for Red Hat Enterprise Linux. Leverage Azure Migrate to transition on-prem Linux VMs to Azure, for cloud-native or hybrid deployment. Deploy and orchestrate infrastructure with Azure Resource Manager templates, Terraform, and Ansible playbooks. Uncover cost-saving opportunities and performance optimization tools, and benefit from license portability, commitment-based discounts, and diverse compute options, including Azure Confidential Computing VMs, for enhanced scalability and efficiency. Experience flexibility with Azure, enabling RHEL workloads to run across global regions and edge locations, with Azure Arc providing centralized management and security for hybrid environments. Join Azure expert, Matt McSpirit, as he shares why Azure is the right place to run your Red Hat Enterprise Linux workloads.   ► QUICK LINKS: 00:00 - Why run Red Hat Enterprise Linux workloads on Azure? 01:10 - Integration 01:41 - Automated scripting or code-based options 02:09 - Beyond provisioning 02:31 - Customer support 03:07 - Efficiency- optimize your spend 04:28 - Increase performance and scalability 05:41 - Flexibility 06:26 - Update management 06:40 - Wrap Up   ► Link References: See the Forrester Consulting study at https://aka.ms/RHELTEI For additional information check out https://aka.ms/RedHatAzure      ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

A unified solution for comprehensive data protection with Microsoft Fabric and Microsoft Purview. Extend the security measures of Microsoft 365 to your schematized data, ensuring consistent protection across your entire data estate. From detecting insider risks to mitigating data loss and unauthorized sharing, leverage advanced visibility and control to safeguard sensitive information effectively. Daniel Hidalgo, Microsoft Purview Product Manager, shares how to simplify your security strategy and gain deeper insights into data risks.   ► QUICK LINKS: 00:00 - Unified solution to prevent data loss and detect data risk 01:36 - Microsoft Fabric experience 02:53 - Confidential labels are automatically inherited 03:16 - Detect sensitive information with DLP policies 04:03 - Create and publish a label 04:59 - Define protections 05:50 - Data Loss Prevention experience in Microsoft Purview 06:57 - Insider Risk Management with Microsoft Fabric 07:39 - Visibility of sensitive data with Microsoft Purview 08:19 - Wrap Up   ► Link References: Check out https://aka.ms/PurviewforFabric Watch our shows on Insider Risk Management, check out https://aka.ms/IRMMechanics    ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

The new Microsoft Surface Pro 10 and the latest Surface Laptop 6 are versatile AI PCs built for business. With the new Microsoft Copilot key built-in, you get quick access to Copilot AI experiences, so you can work smarter, be more productive, and boost creativity. Both are powered by the latest Intel Core Ultra processors, with integrated CPU and GPU, as well as a neural processing unit (NPU) for powering new AI experiences without affecting the CPU. Both devices feature Windows Hello Enhanced Sign-in Security, perfect for multi-factor authentication; and Surface Pro 10 now has a built-in NFC card reader in Wi-Fi models, plus select Surface Laptop 6 15" models have a built-in smart card reader for more authentication options. The Surface Laptop 6 has options for powerful Intel Core Ultra H-Series processors with integrated Intel Arc graphics. ► QUICK LINKS: 00:00 - What's new for Surface Pro 10 and Surface Laptop 6 00:10 - Microsoft Copilot key built-in 00:33 - Security updates in Surface Pro 10 and Surface Laptop 6 01:09 - Versatility updates with Surface Pro 10 and Surface Laptop 6 01:52 - Performance updates with Surface Pro 10 and Surface Laptop 6 02:15 - Cloud PC experiences built in to Surface Pro 10 and Surface Laptop 6 02:46 - Management controls updated for Surface Pro 10 and Surface Laptop 6 04:04 - Repairability updates with Surface Pro 10 and Surface Laptop 6 04:26 - Surface Pro 10 and Surface Laptop 6 are built for business and AI 04:40 - Wrap Up   ► Link References: Check out https://surface.com/business   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

Protect your organization from insider threats with Microsoft Entra's Conditional Access and Adaptive Protection in Microsoft Purview. Automatically block access to critical assets when insider risk levels elevate, ensuring data security and compliance seamlessly. Set up custom policies based on risk levels and enforce strong authentication measures, safeguarding against data breaches. Gain control and visibility over insider activities without manual intervention, empowering proactive security measures. Erin Miyake, Microsoft Purview’s Principal Product Manager shares how to enhance your data protection strategy.   ► QUICK LINKS: 00:00 - Insider Risk in Conditional Access 00:41 - Extend Conditional Access 01:20 - Privacy-first approach 01:56 - Configure policy indicators 03:21 - Adapt protections based on changing risk 04:13 - Set custom policies 05:27 - Set a Conditional Access policy for moderate risk users 06:12 - Insider risk level changing over time 07:04 - Wrap Up   ► Link References: For more about the policies you can set up go to https://aka.ms/IRM Mechanics Get started today at https://aka.ms/adaptiveprotection  Watch our series on Insider Risk Management at https://aka.ms/IRMMechanics   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Protect data while getting the benefits of generative AI with Microsoft Defender for Cloud Apps and Microsoft Purview. Safeguard against shadow IT risks with Microsoft Defender for Cloud Apps, unveiling hidden generative AI applications. Leverage Microsoft Purview to evaluate data exposure, automating policy enforcement for enhanced security. Ensure compliance with built-in data protections in Copilot for Microsoft 365, aligned with organizational policies set in Microsoft Purview, while maintaining trust and mitigating risks seamlessly across existing and future cloud applications. Erin Miyake, Microsoft Purview's Principal Product Manager, shares how to take a unified approach to protecting your data. ► QUICK LINKS: 00:00 - Secure your data for generative AI 01:16 - App level experiences 01:46 - Block based on data sensitivity 02:45 - Admin experience 03:57 - Microsoft Purview AI Hub 05:08 - Set up policies 05:53 - Tailor policies to your needs 06:35 - Set up AI Hub in Microsoft Purview 07:09 - Wrap Up   ► Link References: For information on Microsoft Defender for Cloud Apps go to https://aka.ms/MDA Check out Microsoft Purview capabilities for AI go to https://aka.ms/PurviewAI/docs Watch our episode on Copilot for Microsoft 365 data protections at https://aka.ms/CopilotAdminMechanics Watch our episode about Data Loss Prevention policy options at https://aka.ms/DLPMechanics   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Transform your security posture to stop attacks before they happen using Microsoft's Security Exposure Management in Microsoft Defender. Identify and mitigate potential threats with a comprehensive view of your organization's attack surface, critical assets, and security events. Prioritize security efforts effectively with curated initiatives, automated alerts, and actionable insights, so you can close down vulnerabilities before they're exploited. Brjann Brekkan, Microsoft’s Exposure Management Director, shows how to gain control over your security landscape and stay ahead of emerging threats.   ► QUICK LINKS: 00:00 - Prevent incidents before they happen  00:39 - Unify data and signals with Security Exposure Management 02:07 - See the experience in the Microsoft Defender portal 02:56 - Identify business critical data and sensitive information 03:33 - Key initiatives 04:17 - Assign an initiative owner 05:07 - Visual mapping of potential attack paths  07:05 - Wrap Up   ► Link References:  Sign up for the preview at https://aka.ms/ExposureManagementpreview  Check out https://aka.ms/ExposureManagementdocs   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Take advantage of Azure Cosmos DB for your AI-driven applications. Seamlessly integrate with large language models like ChatGPT, for real-time operational efficiency and limitless scalability. With its built-in vector search engine and multi-model support, Azure Cosmos DB for MongoDB vCore optimizes for just-in-time data retrieval, so you can build cutting-edge solutions at any scale. Kirill Gavrylyuk, General Manager for the Azure Cosmos DB team, joins Jeremy Chapman to share how you can increase performance and cost-effectiveness, whether managing millions of users globally or building smaller-scale apps.   ► QUICK LINKS: 00:00 - Get your database ready for AI with Azure Cosmos DB 02:33 - Solve for real-time data access requirements 03:39 - Automatic scaling 05:35 - How Azure CosmosDB works for copilot-style apps 06:38 - App using vectorized data 07:24 - Jupyter notebook demo 09:19 - Vector indexing and search in Cosmos DB 10:14 - Building a small copilot-style app 12:10 - Run smaller apps serverless 12:35 - Set maximum throughput thresholds 13:39 - Auto scale using Cosmos DB 14:38 - Wrap Up ► Link References: See how Cosmos DB vector search capabilities work at https://aka.ms/CosmosVector  Get a free trial at https://aka.ms/trycosmosdb    ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

For enterprise-grade architecture, data privacy, and control, build your own private ChatGPT style app using OpenAI GPT models with the Azure AI services. You can start with open-source samples for design and the user interface along with Azure containers or Azure App Service, then customize what it can do with Azure AI Studio. Importantly, to ensure its enterprise-ready with the right security and scale considerations in place, Azure Landing Zones provide the architectural best practices for apps like this. Landing Zone Accelerators simplify deployment for dedicated app-level subscriptions and scoped security and broader policies. Layering these recommendations and approaches helps ensure that your ChatGPT style private app meets enterprise requirements. Microsoft Azure expert, Matt McSpirit, shares how to build your own private ChatGPT-style apps and make them enterprise-ready using Azure Landing Zones.   ► QUICK LINKS: 00:00 - Build your own private ChatGPT  00:43 - Benefits of building your own private chat experience  02:07 - Use an open source ChatGPT-style app sample  03:16 - Connect your ChatGPT-style experiences  04:12 - Enhance chat experience with Azure AI Studio  04:45 - Architecture and security with Azure Services  06:44 - Landing Zone configuration and accelerators  07:49 - Wrap Up   ► Link References: Go to the Azure OpenAI Landing Zone at https://aka.ms/OpenAILZ Get ChatBot UI open-source code in GitHub at https://aka.ms/GitHubChatBotUI To use Bicep templates, go to https://aka.ms/LZ  Check out Landing Zone accelerators at https://aka.ms/LZAccelerators Watch our show on Azure AI Studio at https://aka.ms/AIStudioMechanics Watch our show on Azure Landing Zones at https://aka.ms/LandingZoneMechanics   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics