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Catalog & Cocktails: The Honest, No-BS Data Podcast
data.world
317 episodes
5 months ago
<p>Catalog and Cocktails is an honest, no-BS, non-sales-y conversation about data and analytics. This is your unfiltered chat about everything interesting in data and metadata management, DataOps, architecture, and beyond. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from visionary leaders across the data space. </p>
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Technology
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All content for Catalog & Cocktails: The Honest, No-BS Data Podcast is the property of data.world and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
<p>Catalog and Cocktails is an honest, no-BS, non-sales-y conversation about data and analytics. This is your unfiltered chat about everything interesting in data and metadata management, DataOps, architecture, and beyond. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from visionary leaders across the data space. </p>
Show more...
Technology
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Digital Twins and AI with Hala Nelson
Catalog & Cocktails: The Honest, No-BS Data Podcast
1 hour 9 minutes 29 seconds
7 months ago
Digital Twins and AI with Hala Nelson
Hala Nelson, Professor of Mathematics and Author of "Essential Math for AI", explores how digital twin technology and AI deployments are reshaping organizational systems while challenging conventional wisdom. We will also discuss establishing a new "standard of care" in human-centered engineering and examine how these technological shifts are transforming the workforce. Join us as we untangle real-world AI implementation strategies that prioritize both technological innovation and human experience.
Catalog & Cocktails: The Honest, No-BS Data Podcast
<p>Catalog and Cocktails is an honest, no-BS, non-sales-y conversation about data and analytics. This is your unfiltered chat about everything interesting in data and metadata management, DataOps, architecture, and beyond. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from visionary leaders across the data space. </p>