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Why AI Needs Fresh Data with Marc Freed-Finnegan

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Manage episode 485769731 series 3660759
Content provided by Eric Tarczynski. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Eric Tarczynski or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Marc Freed-Finnegan, co-founder and CEO of Chalk, joins us to talk about why AI infrastructure needs to shift from training to inference—and how Chalk is powering sub-5ms pipelines for customers like Whatnot, MoneyLion, and Sunrun. He explains why Chalk is taking on Databricks, why fresh data is more valuable than ever, and what it means to run Python at real-time scale.

We also dive into Marc’s fintech roots, Chalk’s origins, and the company’s approach to supporting complex ML use cases across fraud detection, content moderation, and clean energy. Plus, Marc shares his take on why infrastructure—not models—is often the biggest bottleneck in getting AI into production.

Finally, we covered Amazon’s first AI licensing deal with The New York Times, Meta’s XR partnership with Anduril, Anthropic CEO Dario Amodei’s warning about AI job losses, and a $38M raise for grid tech startup Heron Power.

  continue reading

44 episodes

Artwork
iconShare
 
Manage episode 485769731 series 3660759
Content provided by Eric Tarczynski. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Eric Tarczynski or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Marc Freed-Finnegan, co-founder and CEO of Chalk, joins us to talk about why AI infrastructure needs to shift from training to inference—and how Chalk is powering sub-5ms pipelines for customers like Whatnot, MoneyLion, and Sunrun. He explains why Chalk is taking on Databricks, why fresh data is more valuable than ever, and what it means to run Python at real-time scale.

We also dive into Marc’s fintech roots, Chalk’s origins, and the company’s approach to supporting complex ML use cases across fraud detection, content moderation, and clean energy. Plus, Marc shares his take on why infrastructure—not models—is often the biggest bottleneck in getting AI into production.

Finally, we covered Amazon’s first AI licensing deal with The New York Times, Meta’s XR partnership with Anduril, Anthropic CEO Dario Amodei’s warning about AI job losses, and a $38M raise for grid tech startup Heron Power.

  continue reading

44 episodes

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