Build scalable AI apps with Azure SQL Database Hyperscale | BRK126

Описание: Build AI apps that run securely and scale with your needs with Azure SQL Database Hyperscale. We’ll cover native vector indexes for semantic search, read scale out for low latency RAG, and secure model invocation with Microsoft Foundry, using the model of your choice, from T SQL. Hear directly from global technology company Hexagon and investment firm BlackRock who will join us to share their experience along with best practices, demos and more!

To learn more, please check out these resources:
https://aka.ms/ignite25-plans-AzureSQ...


𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
Aditya Badramraju
Dmitry Borodin
Britt Ewen
Anna Hoffman
Ross Jenkins


𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
This is one of many sessions from the Microsoft Ignite 2025 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK126 | English (US)


Breakout | Advanced (300)


#MSIgnite, #InnovatewithAzureAIappsandagents

Chapters:
0:00 - Speakers Introduction and Customer Guests Announcement
00:01:49 - Explanation of Hyperscale: Cloud-Native SQL Service
00:02:51 - Aditya’s Deep Dive: Hyperscale Scalability and Architecture
00:12:29 - Modernization using Azure—transition to microservices and cloud hosting
00:15:16 - AI-driven automation for document processing and knowledge graph creation
00:26:41 - Adding embeddings for semantic search within SQL database
00:32:43 - Introduction of Continuous Priming in Azure SQL Database Hyperscale
00:33:16 - Cost Management Strategies: Serverless and Elastic Pools
00:42:33 - Session Closing Remarks and Resources for Further Learning