AI+Data in the Enterprise: Lessons from Mosaic to Databricks
Description
The biggest AI breakthroughs won’t come from Ph.D. labs — they’ll come from people solving real-world problems. So how do AI founders actually turn cutting-edge research into real products and scale them? In this week’s episode of Founded & Funded, Madrona Partner Jon Turow sat down with Jonathan Frankle, Chief AI Scientist at Databricks to talk about the shift from AI hype to real adoption — and what founders need to know.
They dive into:
1) How AI adoption has shifted from hype to real-world production
2) The #1 mistake AI startups make when trying to sell to enterprises
3) Why your AI system shouldn’t care if it’s RAG, fine-tuned, or RLHF — it just needs to work
4) The unexpected secret to getting your first customers 5) The AI opportunity that most startups are overlooking
Transcript: https://www.madrona.com/databricks-ia40-ai-data-jonathan-frankle
Chapters:
(00:00 ) Introduction
(01:02 ) The Vision Behind MosaicML
(04:11 ) Expanding the Mission at Databricks
(05:52 ) The Concept of Data Intelligence
(07:42 ) Navigating the AI Hype Cycle
(15:10 ) Lessons from Early Wins at MosaicML
(20:50 ) Building a Strong AI Team
(23:36 ) The Future of AI and Its Challenges
(24:06 ) Evolving Roles in AI at Databricks
(25:55 ) Bridging Research and Product
(28:29 ) High School Track at NeurIPS
(30:39 ) AI Techniques and Customer Needs
(38:22 ) Rapid Fire Questions and Lessons Learned
(42:49 ) Exciting Trends in AI and Robotics
(45:40 ) AI Policy and Governance
United States
