full schedule here: https://ai.engineer/schedule

thanks @yashgargk for timestamps:

0:00:00 - start 0:15:15 - Welcome to AI Engineer - Laurie Voss (LlamaIndex) 0:22:17 - Designing AI-Intensive Applications - Shawn Wang (Latent Space) 0:35:46 - Spark to System: Building the Open Agentic Web - Asha Sharma (Microsoft) 0:59:02 - State of Startups and AI 2025 - Sarah Guo (Conviction) 1:24:44 - 2025 in LLMs so far - Simon Willison (Datasette) 1:43:20 - Agentic GraphRAG - Stephen Chin (Neo4j), Andreas Kollegger (Neo4j) 1:47:58 - Track Intros - Laurie Voss (LlamaIndex) 1:51:00 - Break 2:29:26 - MCP Track Intro - Henry Mao (Smithery) 2:31:16 - MCP Origins & RFS - Theodora Chu (Anthropic) 2:49:47 - What we learned from shipping remote MCP support at Anthropic - John Welsh (Anthropic) 3:03:51 - Full Spectrum MCP: Uncovering Hidden Servers and Clients Capabilities - Harald Kirschner (VS Code, Microsoft) 3:18:54 - MCP isn’t good, yet - David Cramer (Sentry) 3:36:34 - Break 5:08:05 - MCP is all you need - Samuel Colvin (Pydantic) 5:25:43 - Observable tools - the state of MCP observability - Alex Volkov (Weights & Biases), Benjamin Eckel (Dylibso) 5:43:00 - The rise of the agentic economy on the shoulders of MCP - Jan Curn (Apify) 6:02:05 - Break 7:08:00 - Buffer 7:09:28 - Closing thoughts on Agentic GraphRAG + Demo - Stephen Chin (Neo4j), Andreas Kollegger (Neo4j) 7:15:22 - Building Agents at Cloud-Scale - Antje Barth (AWS) 7:34:26 - Windsurf everywhere, doing everything, all at once - Kevin Hou (Windsurf) 7:50:31 - Buffer 7:51:30 - #define AI Engineer - Greg Brockman (OpenAI), Shawn Wang (Latent Space)

AI is driving a reinvention across your apps and powering new use cases across your business. Join us to learn how Azure AI Foundry is unlocking this AI revolution across all your apps and solutions.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Asha Sharma

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK103 | English (US) | AI

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