The State and Future of Data Tooling with Leigh Marie Braswell and Erik Bernhardsson
Oct 5, 2021 ·
38m 7s
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Description
Leigh Marie Braswell (@LM_Braswell) of Founders Fund and Erik Bernhardsson (@bernhardsson), who built the music recommendation system at Spotify, join Erik to discuss: - How data flows through a company...
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Leigh Marie Braswell (@LM_Braswell) of Founders Fund and Erik Bernhardsson (@bernhardsson), who built the music recommendation system at Spotify, join Erik to discuss:
- How data flows through a company and the business decisions that can be made based on data.
- The waves of change in the data tooling landscape over the last decade and why we’re only a quarter of the way to easy-to-use tools.
- Why there are so many data roles and how the commercialization of open source projects drives fragmentation and specialization in the industry.
- The exciting opportunities and potential pain points to build around in data tooling, including workflow scheduling, LTV predictions, and collaboration.
- Why people building in the space shouldn’t index to existing roles, structures, and platforms, since those platforms may not be around in a few years.
- Why AI and ML are just one tool in the data toolbox and the fact that there is more room to build around other, boring data science tasks.
Thanks for listening — if you like what you hear, please review us on your favorite podcast platform.
Check us out on the web at www.villageglobal.vc or get in touch with us on Twitter @villageglobal.
Want to get updates from us? Subscribe to get a peek inside the Village. We’ll send you reading recommendations, exclusive event invites, and commentary on the latest happenings in Silicon Valley. www.villageglobal.vc/signup
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- How data flows through a company and the business decisions that can be made based on data.
- The waves of change in the data tooling landscape over the last decade and why we’re only a quarter of the way to easy-to-use tools.
- Why there are so many data roles and how the commercialization of open source projects drives fragmentation and specialization in the industry.
- The exciting opportunities and potential pain points to build around in data tooling, including workflow scheduling, LTV predictions, and collaboration.
- Why people building in the space shouldn’t index to existing roles, structures, and platforms, since those platforms may not be around in a few years.
- Why AI and ML are just one tool in the data toolbox and the fact that there is more room to build around other, boring data science tasks.
Thanks for listening — if you like what you hear, please review us on your favorite podcast platform.
Check us out on the web at www.villageglobal.vc or get in touch with us on Twitter @villageglobal.
Want to get updates from us? Subscribe to get a peek inside the Village. We’ll send you reading recommendations, exclusive event invites, and commentary on the latest happenings in Silicon Valley. www.villageglobal.vc/signup
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