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S2E10: DJ Patil and Ray Lane, GreatPoint Ventures
Manage episode 426997855 series 3517734
Today we’re joined by Ray Lane and DJ Patil from GreatPoint Ventures. Ray, known for his pivotal role at Oracle during its turnaround, shares his journey from the US Army to top tech positions and eventually co-founding GreatPoint Ventures, where he supports entrepreneurs. DJ Patil – investor, entrepreneur, and former U.S. Chief Data Scientist – joins to dive into the evolution of databases.
Tune in as they share their experiences with early databases such as Db2, the rise of Postgres, and current challenges in the tech landscape. With insights on leadership, community-driven development, and more, this episode is a must-listen for developers, entrepreneurs, and tech enthusiasts.
In this episode, we explore:
- The critical need for evolving roles within a company to foster growth
- Challenges of data distribution vs. keeping data centralized and speedy
- “Siding with the community” and enhancing user capabilities
- The risks of rushing towards generative AI, and the importance data hygiene and data culture
Links mentioned:
22 פרקים
Manage episode 426997855 series 3517734
Today we’re joined by Ray Lane and DJ Patil from GreatPoint Ventures. Ray, known for his pivotal role at Oracle during its turnaround, shares his journey from the US Army to top tech positions and eventually co-founding GreatPoint Ventures, where he supports entrepreneurs. DJ Patil – investor, entrepreneur, and former U.S. Chief Data Scientist – joins to dive into the evolution of databases.
Tune in as they share their experiences with early databases such as Db2, the rise of Postgres, and current challenges in the tech landscape. With insights on leadership, community-driven development, and more, this episode is a must-listen for developers, entrepreneurs, and tech enthusiasts.
In this episode, we explore:
- The critical need for evolving roles within a company to foster growth
- Challenges of data distribution vs. keeping data centralized and speedy
- “Siding with the community” and enhancing user capabilities
- The risks of rushing towards generative AI, and the importance data hygiene and data culture
Links mentioned:
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