Founded & Funded
AI+Data in the Enterprise: Lessons from Mosaic to Databricks
Feb 26, 2025
Jonathan Frankle, Chief AI Scientist at Databricks and co-founder of Mosaic ML, shares his insights on transforming AI hype into practical solutions. He discusses the crucial mistake AI startups make when selling to enterprises and how to bridge the gap between research and market needs. Frankle emphasizes the importance of effective storytelling and adapting AI systems to customer requirements. He also highlights opportunities often overlooked by startups and how early wins at Mosaic ML can inform future directions in AI and data intelligence.
47:18
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Quick takeaways
- AI breakthroughs are increasingly driven by addressing real-world challenges rather than academic research, emphasizing practical applications over hype.
- Startups should prioritize effective storytelling tailored to specific industries to engage customers and create valuable case studies for broader traction.
Deep dives
The Role of Enterprise Customers Versus Startups
Enterprise customers indicate potential business scalability due to their established presence and substantial budgets. They invest in technology for the long term, providing a sense of stability for startups. However, startups can often be the ideal customers for new technologies, as they bypass lengthy procurement processes and offer quick feedback. This quick turnaround allows budding companies to refine their products rapidly based on immediate user insights.
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