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How the new AI capabilities in SQL Server 2025 are set to revolutionize data-driven innovation! For strategic leaders looking to unlock new opportunities, features like integrated Vector Search and seamless External Model Integration (supporting Azure OpenAI, OpenAI, Ollama, and more) are game-changers.

▬▬▬▬▬▬ C H A P T E R S ▬▬▬▬▬▬
(0:00) A Fundamental Shift in SQL Server's Architecture
(1:45) The Two Big Problems This Solves
(2:08) Problem 1: Getting Beyond Keyword Search
(3:21) Problem 2: The Data Silo Nightmare for AI
(4:47) The New Principle: Bringing AI to the Data
(5:44) Deep Dive: Native Vector Search
(6:11) What Are Vector Embeddings (For a Database Pro)?
(7:28) How Approximate Vector Indexes Work
(9:02) The New T-SQL for Similarity Search
(10:22) Visualizing the Vector Search Workflow
(12:38) Use Case: Smarter Recommendation Engines
(13:21) Use Case: Advanced Anomaly Detection
(14:23) Use Case: Accelerating R&D and Knowledge Discovery
(16:02) Deep Dive: Seamless External AI Integration
(16:47) The CREATE EXTERNAL MODEL Command
(17:41) The New In-Database AI Functions
(19:19) Visualizing the External Integration Workflow
(21:46) The Combined Architectural Pattern
(23:38) The Strategic Business Value
(24:29) Better Data Governance and Security for AI
(25:03) Democratizing AI for the T-SQL Community
(26:05) Real-World Example: Financial Fraud Detection
(28:15) Key Takeaways
(29:15) Call to Action: How Can You Use This?

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