#28: Forget About Data Problems During Production | Ian Eaves from Grai

Caveminds Podcast

Ian Eaves, founder of Grai (YC S22), a pioneering data lineage company, joins us on Caveminds to demystify the complexities of data relationships across diverse platforms. As a physicist turned data scientist, Ian offers unique insights into the convergence of disciplines to solve recurring data challenges.

This episode navigates through Ian's journey from physics to data science, highlights the persistent issues in data management that companies fail to address, and showcases the crucial use cases for enhancing data lineage. With Grai's innovative approach, listeners will learn how simplifying data lineage not only improves machine-learning models but also catalyzes success stories across industries.
IN THIS EPISODE

• [00:00] Introduction to Ian Eaves and Grai
• [03:47] From physics to data science
• [06:36] Repeating problems now solved by Grai
• [08:07] Key problems companies aren’t solving
• [10:57] Essential use cases for companies
• [20:32] Augmenting data lineage
• [24:52] How simplifying data lineage improves ML models
• [28:18] Success stories with Grai
• [30:44] Where Grai’s solutions shine
• [32:47] The business rationale behind open source
• [35:44] Merging physics insights with AI
• [37:15] Ian's mental model for approaching the world
• [39:17] Pulse check on multiple AI fronts

LINKS & RESOURCES

https://www.grai.io/
https://www.linkedin.com/company/grai-io/
https://www.linkedin.com/in/ieaves/
https://www.ianeaves.com/

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