MongoDB.local London 2026

Learn more about .local London → mdb.link/mHOQWeuoreM-london Subscribe to the MongoDB for Developers YouTube Channel:    / @mongodbdevelopers   This livestream is sponsored by Google Cloud. Subscribe to MongoDB YouTube → mdb.link/subscribe At MongoDB.local London, discover how the UK’s leading innovators are ditching fragmented AI stacks for a unified data platform that accelerates production and takes AI from demo to production—quickly. Whether you're growing a startup or scaling and modernising enterprise applications, join us—alongside founders and leaders defining the future of London’s tech landscape—to learn how MongoDB helps you ship your AI vision faster. What to expect: Hear directly from industry and AI leaders: Top minds from startups, enterprises, and MongoDB reveal the architecture for production AI. Get the blueprint to move beyond basic retrieval and build mission-critical, agentic applications Learn from customers: Explore real-world examples from founders and customers using MongoDB to build, scale, and innovate. Gain practical insights from teams solving today’s most complex challenges. Livestream Schedule (Note: start times are subject to change): 9:45 a.m. General Session 11:15 a.m. Connection Strings vs. Compliance: Enforcing Data Access for AI in MongoDB - Idan Mouallem, Head of Product at 3T 11:50 a.m. The .NET Developer’s Guide to Mastering the MongoDB Document Model - Kevin Smith, MongoDB Champion 12 p.m. Accenture - Jeff Emerson, Global Mainframe Modernization, Practice Lead at Accenture 12:20 p.m. The Hugging Face Data Story: Driving Adoption and Growth of MongoDB at Scale - Arek Borucki, Database Engineer at Hugging Face 12:40 p.m. The Evolution of Agentic Applications on AWS with MongoDB Atlas - Igor Alekseev, Principal Data and Analytics Partner Solutions Architect at AWS 1 p.m. Best Practices in Building Enterprise-Grade Agentic Applications - Anand Sanghani, Principal Solutions Architect at MongoDB 1:10 p.m. Disrupting AI Software Through Context Engineering and Evals for Coding Agents - Mikiko Bazeley - Staff Developer Advocate & Pete Johnson - Field CTO, AI 1:30 p.m. General Session 2:00 p.m. The Future of Data and AI on MongoDB - Prasad Pillalamarri, Director, Global Partner Presales at MongoDB 2:30 p.m. Beyond the LLM: Why Agentic AI Needs a MongoDB Memory Architecture - Loghman Zadeh, AI Director at gravity9 2:50 p.m. The Skill Badge Evolution: From Long-Form Content to Customer-Centric Technical Learning at MongoDB - Eoin Brazil, Senior Staff Engineer at MongoDB 3:00 p.m. From Mainframes to Agentic AI: Building an Unified, Real-Time Operational Datastore for Finance - Bikram Sankar Das, Global Head of NoSQL CoE, Analytics and Insights, BFSI at TCS 3:20 p.m. Decoding the Agentic AI Landscape: Insights from MongoDB's Competitive Lead - Vivek Bhalla, Competitive Intelligence - Strategic & AI Lead at MongoDB 3:50 p.m. Making AI Learning Accessible: MongoDB's New Skill Badges for Developers and Leaders - Rita Rodrigues, Director, Curriculum at MongoDB University 4:00 p.m. AI Agents in Production - AX as the new DX - Prakul Agarwal, Senior Product Manager, Machine Learning at MongoDB 4:20 p.m. Review of the day - Luce Carter, Senior Developer Advocate & Afi Gbadago, Senior Developer Advocate Visit Mongodb.com → mdb.link/MongoDB Read the MongoDB Blog → mdb.link/Blog Read the Developer Blog → mdb.link/developerblog MongoDB for Developers YouTube Channel →    / @mongodbdevelopers