[kavaivaleri]

We explore Databricks' unusual history, its contributions to the generative AI field for Enterprise, and what its strategies reveal about the evolving landscape of GenAI and data intelligence platforms.

- Starting point of Databricks

- We are open-source and... poor. Changes in strategy that led to $$$

- Turning to Generative AI (and proving again open-source is cool)

- Generative AI's role in the next wave of enterprise data applications

- Product policy: “Cannibalize yourself before someone else does”

- Mission

- Financial situation and acquisitions

- How does the company make money?

- Vision of the future of the AI industry

- Bonus: Seven brilliant founders behind Databricks