Browse Machine Learning Videos (33)

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.

Matt Gordon and Anna Hoffman show how to set up anomaly detection in Microsoft Fabric using streaming change events from Azure SQL/SQL Server, then trigger alerts and actions with Fabric components like Eventstream, Eventhouse, and Activator.

John Savill gives a very quick overview of Rayfin and Microsoft Fabric Apps, focusing on where they fit in the Fabric ecosystem and why they matter for analytics and data platform work.

John Savill gives a quick overview of Rayfin and Microsoft Fabric Apps, focusing on the problem they’re trying to solve, how the Fabric Apps data model works, and what app hosting looks like in practice, with a short demo and key takeaways.

Anna Hoffman introduces Change Event Streaming (CES) in public preview across Microsoft SQL, showing where it fits for modern, event-driven application scenarios and how it differs from approaches like CDC and mirroring in SQL Server 2025, Azure SQL, and Fabric SQL.

John Savill gives an overview of Microsoft IQ and how it’s meant to bring the right intelligence (enterprise data, web data, and model capabilities) to AI agents, including the different “IQ” surfaces (Work, Fabric, Foundry, Web) and the security/identity considerations around least privilege and protection.

Microsoft Developer demonstrates a real-time 3D digital twin of a wind farm built in Microsoft Fabric, combining LiDAR-derived terrain geometry, live turbine telemetry from a Fabric Eventhouse, and a natural-language interface that can identify underperforming turbines and estimate cost impact.

John Savill runs through a quick set of Azure updates from 10th July 2026, covering Azure Front Door Edge Actions, Azure Databricks SQL Serverless regional expansion, Azure Arc-enabled SQL scenarios, VS Code SQL tooling updates, new platform metrics, and Microsoft Entra ID passkey changes.

Microsoft Developer recaps the 2026 updates shipped across SQL Server, Azure SQL, and SQL database in Fabric, highlighting security, tooling, and developer workflow changes announced around SQLCon/FabCon and Microsoft Build 2026.

Anthony Nocentino and Anna Hoffman show how to give GitHub Copilot controlled, real-time visibility into SQL Server using MCP (Model Context Protocol) servers. They demo a custom DMV-based MCP server for DBA workflows and a zero-code Data API Builder approach for app data access, with guardrails and permissions defined by you.

Justin Garrett interviews Microsoft MVP Andrew Pruski about building “Burrito Bot,” a semantic search demo that uses SQL Server 2025 vector search to recommend restaurants based on meaning rather than keywords, covering embeddings, similarity scoring, and scaling with vector indexes and ANN techniques.

John Savill runs through the weekly Azure update for 19th June 2026, covering a VS Code Azure Functions project-creation refresh, Azure Migrate’s GitHub Copilot integration, networking and storage feature updates, Azure Databricks integration with OneLake, and new Log Analytics summary rules.

Nitin Jadhav demonstrates how pg_duckdb brings DuckDB-style analytical performance into Azure Database for PostgreSQL, including running faster OLAP queries on existing Postgres tables and querying Parquet files from object storage without loading them into Postgres first.

Muhammad Usama explains how Citus distributes data across a Postgres cluster and why scaling events can be slow due to safe rebalancing constraints. He then walks through concrete improvements—more parallel shard moves and snapshot-based node addition—to reduce data movement and speed up scale-out/scale-in operations.

Paula Santamaría and Julia Schröder Langhaeuser present a production Retrieval-Augmented Generation (RAG) architecture built on Azure Database for PostgreSQL, explaining why Postgres can be a solid foundation for RAG at scale and what it takes to move from prototype to production with performance tuning and monitoring.

Abe Omorogbe explains how PostgreSQL is evolving into a backbone for production AI agent workflows, focusing on reliable and safe data retrieval. He covers MCP-based agent patterns, common failure modes when agents generate SQL, and emerging approaches like context correction and blended retrieval across relational, vector, and graph techniques.

Varun Dhawan explains why PostgreSQL is increasingly used as an “everything database” and how its extensibility lets teams consolidate workloads like OLTP, analytics, and vector search. He also connects these capabilities to Azure Database for PostgreSQL and scaling patterns such as Citus.

Microsoft Developer previews Livestream 3 of POSETTE 2026 with short introductions to 11 PostgreSQL talks, including WAL, logical replication, testing and coverage, consistency in clusters, performance tuning, and a session on production RAG at scale using Azure Database for PostgreSQL.

Mohsin Ejaz explains how to build safety tooling and guardrails for automated, AI-driven PostgreSQL tuning, focusing on monitoring, validation, and risk controls so performance improvements don’t come at the cost of outages or regressions.

dotnet explains patterns for modernizing data and migrating line-of-business applications incrementally, focusing on moving the database first and evolving the app through stable API layers and modern data access approaches.