talk-data.com

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)