Learn more about Atlas Agent Engine: https://mdb.link/bSdmW9L2bWk Subscribe to the MongoDB for Developers YouTube Channel: https://www.youtube.com/@MongoDBDevelopers?sub_confirmation=1 Today, MongoDB is closing a gap every team building AI agents knows too well: lock into one vendor's model and cloud, or stitch together governance and memory on your own. Atlas Agent Engine is the solution: a single infrastructure for model choice, cloud choice, governance and memory - built on the same MongoDB Atlas foundation 75% of the Fortune 500 already run on. See it in action with a live technical demo, followed by a discussion with CDK, Infosys and Fireworks on what it takes to bring agents from prototype to production. Chapters: 00:00 Keynote Introduction: Chirag Shah 00:14 The Challenge of Building AI Agents in Production 02:59 3 Main Obstacles: Context, Stacks, and Governance 05:00 Introducing Atlas Agent Engine 05:52 Core Promises: Context-Centric, Open, and Governed 07:46 Live Demo: Endless Basket Store Operations 09:07 Identity Enforcement & Kernel-Level Sandboxing 11:03 Human-in-the-Loop Approvals for High-Risk Actions 12:45 Persistent Memory & Automated Procedural Learning 15:46 Built-In Runtime Tracing and Auditing 17:44 The 4 Core Decisions of Agent Infrastructure 21:30 Open Secure AI Alliance Announcement 23:25 Executive Panel: Scaling Agents in the Enterprise 24:09 Panelist Introductions: CDK, Infosys, and Fireworks AI 26:23 CDK Global: Scaling 22TB of Data with MongoDB 28:32 Infosys: Transitioning AI Projects from Pilot to Production 31:01 Fireworks AI: Model Inference Meets Harness Infrastructure 33:02 Enterprise Case Study: Processing 25,000 Lender Bulletins 37:47 Enterprise Transformation with Infosys Topaz 42:19 The VAST Framework for AI ROI Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the Developer Blog → https://mdb.link/developerblog MongoDB for Developers YouTube Channel → https://www.youtube.com/@MongoDBDevelopers

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