Unlocking Real-Time Data Access for In-house AI

​Join this hands-on webinar to learn how MindsDB Open Source, a federated data engine for AI, lets you run AI where the data lives—without moving or duplicating it—so teams can deliver real-time, production-grade capabilities faster.

​About the webinar:

​AI architects know the pain: organizations’ data sprawls across warehouses, lakes, SaaS tools, and APIs—and your in-house AI can’t use it without heavy engineering. In this session, we’ll show how MindsDB Open Source, a federated data engine for AI, lets you run AI where the data lives—without moving or duplicating it—so teams can deliver real-time, production-grade capabilities faster.

​You’ll learn how to:

• ​Plug LLMs and agents directly into live, distributed data via MindsDB’s federated query engine, avoiding brittle ETL and batch delays.
  

• ​Access hundreds of enterprise data sources using natural language, with handlers that translate questions into real-time queries.
  

• ​Deploy anywhere (local, containers, cloud) and integrate with existing stacks using open source.
  

• ​Enable real-time answers and natural-language queries inside your current applications and workflows.

​Why attend?

​If you’re building enterprise AI but stuck behind messy pipelines, stale data, and latency bottlenecks, this session gives you a practical, open-source path to real-time AI over federated data—so you can ship semantic search, copilots, and decisioning features in days, not months.