Browse Machine Learning Videos (32)

Marko Hotti and Patty Chow demonstrate how to build a smarter AI travel planner on Azure Cosmos DB by combining operational app data with vector embeddings and search features, so the app can answer nuanced queries while still respecting real inventory and booking workflows.

Bruno Capuano and Luis Quintanilla explain how .NET’s AI building blocks fit together for real-world apps, focusing on data ingestion, embeddings, and vector search to ground LLM responses in your own documents and business data.

Anna Hoffman explains how Microsoft SQL spans on-premises, Azure, and Microsoft Fabric, highlighting what’s new in the engine, developer tooling, and migration options. She also demonstrates AI-assisted performance troubleshooting and scalable vector search, and shows how Azure Arc/Azure Local and Foundry-based experiences can support modern data-driven apps.

Sukhwant Kaur demonstrates how SQL database in Microsoft Fabric can support app development, analytics, and AI in one place—covering database creation, workload migration, and automatic mirroring into OneLake, plus Git-based workflows with VS Code and a T-SQL RAG example for product search.

Patrick LeBlanc demonstrates Fabric Database Hub’s database agent for observing SQL Server databases, surfacing performance signals, and guiding investigation from detection through hands-on troubleshooting, including a blocking scenario in SSMS and follow-up analysis workflows in VS Code with GitHub Copilot support.

Bob Ward explains what “AI-ready” means in SQL Server 2025, focusing on native vector capabilities, embedding generation, and RAG patterns you can implement directly with T-SQL across local and cloud AI model deployments.

Pam Lahoud explains how to migrate SQL Server workloads to Azure Virtual Machines while keeping OS and database control, with practical guidance on VM sizing, storage selection, and cost considerations like constrained cores for licensing. She also outlines what to build next using Azure services and related Microsoft data/AI capabilities.

Microsoft Developer presents SQL Modernization Day, a set of sessions from the Microsoft SQL team focused on moving SQL Server workloads to Azure without rewriting applications, and then preparing those workloads for building AI-ready apps using modern Azure and Fabric SQL options.

Microsoft Developer presents a Data Exposed session on Fabric Database Hub, focusing on bringing Azure SQL, SQL Server, Cosmos DB, PostgreSQL, and Fabric databases into a single place for discovery, estate-level visibility, governance, and AI-assisted insights to prioritize actions.

John Savill runs through the Azure Weekly Update for 9th October 2026, covering a set of platform changes and retirements across AKS, App Service, developer environments, networking/WAF, API Management, PostgreSQL, SQL Server, and Fabric/OneLake, plus a security-focused note on Always Encrypted with Intel SGX enclaves.

Anna Hoffman recaps the key Microsoft SQL announcements shared at SQLCon/FabCon Barcelona 2026, covering hybrid and migration updates, Database Hub changes, Hyperscale improvements, SQL DB in Fabric updates, and developer-focused tooling and agent-related updates.

Microsoft Developer explains why an AI agent’s output quality depends on the context you can retrieve at runtime, and shows how Foundry IQ-style capabilities connect agents to enterprise data, ground responses, and enable actions across business workflows.

John Savill recaps major Microsoft AI announcements from September 2026, focusing on Azure AI Foundry updates (models, routing, agent features, and controls), Copilot platform changes, and developer-facing items like GitHub Copilot and VS Code agent workflows, plus data/AI additions such as Azure SQL vector capabilities.

Microsoft Developer explains how to evaluate Azure AI Foundry Model Router against a baseline model (for example GPT-5) to understand cost, latency, and quality trade-offs, using the open-source Model Router Auto Evaluation toolkit and its HTML dashboard output.

Microsoft Developer hosts a Data Exposed episode with the Azure SQL product management and engineering team, explaining how Azure SQL Database Hyperscale implements vector indexing (DiskANN) to support fast approximate vector search, filtering, and DML at scale, including billion-row scenarios and GA availability.

Microsoft Developer shares a weekly developer-news roundup covering .NET memory dumps for diagnosing failures, the pitfalls of migrating time-related data between PostgreSQL and SQL Server, and how AI agents can use stronger isolation plus durable memory with Microsoft Foundry and Azure Blob Storage.

Bob Ward explains how Microsoft SQL (SQL Server, Azure SQL, and SQL DB in Fabric) can be used for chat completion and agentic RAG scenarios, including making REST calls to models, building prompts in SQL, and adding security controls like immutable logging, content moderation, and prompt-injection protection.

Microsoft Developer introduces Rayfin, an open-source SDK and CLI for defining and deploying application backends to Microsoft Fabric as first-class Fabric items, highlighting how Fabric identity, governance, and compliance carry through to the deployed app and why Fabric’s SQL database option matters.

Microsoft Developer covers automatic index compaction (public preview) and how it can reduce or eliminate traditional index maintenance work for Azure SQL Database, Azure SQL Managed Instance, and SQL database in Microsoft Fabric.

Marco Casalaina breaks down Foundry IQ, Fabric IQ, Work IQ, and Web IQ, explaining them as grounding capabilities that give AI agents the right context. He maps each “IQ” to the underlying data source (knowledge bases, OneLake, Microsoft 365 apps, and the public web) and what it enables.

Authorised Territory demonstrates how to build an AI agent with the .NET Microsoft Agent Framework using a local Ollama model, then evaluate the agent locally with built-in checks to confirm response quality and that required tools were actually invoked.

Bob and Anna demo how to build AI-style retrieval features on Azure SQL Database Hyperscale using vector embeddings and vector indexes, focusing on practical developer capabilities for semantic search and retrieval scenarios.

Microsoft Developer introduces Work IQ, Foundry IQ, and Fabric IQ and how they fit together for building intelligent agents across application workflows and data/analytics scenarios.

Microsoft Developer presents a demo-heavy session showing how to build AI applications securely on top of SQL and Microsoft’s data platforms, from Azure to Microsoft Fabric, with practical examples developers can reuse.

Anna Hoffman recaps the year’s updates across SQL Server, Azure SQL, and SQL database in Microsoft Fabric, with a focus on developer tooling. She also covers themes like security, performance, availability, CI/CD, containers, and how AI and vectors are shaping the SQL ecosystem, plus a look at roadmap direction.

Microsoft Developer introduces SQL MCP Server, a Data API Builder-based approach for letting AI tools like GitHub Copilot query SQL Server, Azure SQL, and Fabric SQL Database through a governed, RBAC-enforced interface instead of direct raw SQL access.

Microsoft Developer explains how to implement practical, high-performance vector search in SQL Server using DiskANN, including how to store vectors, build the right indexes, and write queries that combine semantic similarity with relational filters and full-text search for more precise results.

John Savill shares a short Azure update for 14th August 2026, covering a channel milestone plus a set of platform changes across App Service, AKS, networking, security, storage, Fabric, PostgreSQL, and AI—including a note about Gemini 3.7 Flash appearing in GitHub Copilot.

John Savill introduces the core differences between AI, machine learning, deep learning, and generative AI in a short “Tech in Five” explainer, giving a practical mental model for how these terms relate and where LLMs fit in.

John Savill runs through the 7th August 2026 Azure update, covering changes across compute, networking, security, storage, SQL, and Databricks—highlighting VM defaults and retirements, new routing and proxy capabilities, Private Link over IPv6, and several Databricks and Azure SQL enhancements.

Microsoft Developer shares Shireesh Thota’s perspective on turning “data everywhere” into usable intelligence by bringing data together, adding context, and applying AI on top—framed as an architecture discussion rather than a single feature walkthrough.

John Savill rounds up a week of Azure platform updates, spanning AKS, networking, API Management, monitoring, data services, and regional expansion, plus a few notable AI model availability items and security-related changes like Azure Enclave and Key Vault symmetric keys.