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:

Introduction

The Vision Behind MosaicML

Expanding the Mission at Databricks

The Concept of Data Intelligence

Navigating the AI Hype Cycle

Lessons from Early Wins at MosaicML

Building a Strong AI Team

The Future of AI and Its Challenges

Evolving Roles in AI at Databricks

Bridging Research and Product

High School Track at NeurIPS

AI Techniques and Customer Needs

Rapid Fire Questions and Lessons Learned

Exciting Trends in AI and Robotics