Leaders ask urgent questions, but answers get stuck behind rigid dashboards and data silos. Legacy BI can’t keep up—teams wait hours or days, and opportunities pass. Imagine asking, in plain language, across all your data and getting trustworthy answers fast.
In this hands-on session, we build an AI analytics workflow with Minds Enterprise—an AI data solution that connects directly to your existing sources and returns accurate, explainable answers. No heavy ETL. No data movement. We cover the core concepts of Minds AI analytics and live-build an end-to-end system against a realistic example you can replicate in your own environment.
What you'll learn:
Connect to enterprise data in place—no pipelines to build or maintain.
Minds Enterprise fundamentals: grounding, guardrails, explainability.
End-to-end build you can replicate: question → query → retrieval → answer → deploy.
Who should watch:
This webinar is ideal for heads of data/BI, analytics engineers and architects, product managers, and anyone evaluating AI for analytics. There's a Q&A with Andriy and David afterward to dive into your use cases.
Speakers
Andriy Burkov, Ph.D.
Author, The Hundred‑Page Machine Learning Book & The Hundred‑Page Language Models Book
Andriy is a 20‑year machine‑learning veteran who has led dozens of AI projects at Gartner, Fujitsu and TalentNeuron.
David Fraser
Senior Product Manager, MindsDB
David Fraser drives product strategy for Enterprise AI analytics, which helps organizations get real‑time insights from their data.
