# Unlocking Real-Time Data Access for In-house AI

Recorded live October 22, 2025

Watch 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.

[Download the webinar code and materials here.](https://info.mindsdb.com/hubfs/Webinar%20Slides/Webinar%20slides%20-%20Unlocking%20Real-Time%20Data%20Access%20for%20In-house%20AI.pdf)

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 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 watch?

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.

#### Speakers

Bryan Reinero

Principal Product Manager, MindsDB

Bryan Reinero drives product strategy for MindsDB's Open Source Federated AI Data Engine, which helps developers, data scientists and AI engineers build in-house AI with own data.