Data Science Leaders: The premiere podcast for executives tackling the world’s most important challenges with the power of machine learning and artificial intelligence. Join host, Thomas Been, as we interview pioneering data science leaders and industry watchers to unearth the secrets to driving transformative business outcomes—and avoiding a myriad of pitfalls—with the latest ML & AI technologies. Our conversations are full of real stories, breakthrough strategies, and unique insights to help you build your own model for enterprise data science success.
Data Science Leaders
Claim This Podcastby Domino Data Lab
100 episodes
Updated Daily
Accepts GuestsHas Sponsors
24
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality48
Social0
YouTube0
Engagement0
Podcast Overview
Data Science Leaders: The premiere podcast for executives tackling the world’s most important challenges with the power of machine learning and artificial intelligence. Join host, Thomas Been, as we interview pioneering data science leaders and industry watchers to unearth the secrets to driving transformative business outcomes—and avoiding a myriad of pitfalls—with the latest ML & AI technologies. Our conversations are full of real stories, breakthrough strategies, and unique insights to help you build your own model for enterprise data science success.
Language
🇺🇲
Publishing Since
4/21/2021
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24
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality48
Social0
YouTube0
Engagement0
6
Excellent Areas
2
Good Performance
11
Growth Opportunities
excellent
Episode Length
40 minutes
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good
Show Notes Quality
3.0/5
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Every 16 days
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Recent Episodes
June 2, 2026
The Cave: Pharma's Data Problem
Physicist and data leader Dave Johnson discusses with host Thomas how pharma's data challenges hinder AI success, revealing why "the cave" persists and how to unlock true data value.
April 1, 2026
Turning Governance Into the “Yes” Guys
<p>When <a href="https://www.linkedin.com/in/xin-cindy-tu/" rel="noopener noreferrer" target="_blank">Cindy Tu</a> first stepped onto a conference stage, it wasn’t part of a long-term plan. It was a turning point. A single speaking invitation shifted her role from quietly reviewing AI systems to actively shaping how governance is practiced across financial services. With a background spanning IT, data, and audit, Cindy brought a rare systems-level view to the table.</p><p>Now a rising voice in enterprise AI risk, she’s influencing how institutions think about oversight, how governance frameworks evolve, and why people are at the heart of successful implementation. Her perspective is informed not only by technical expertise, but by lived experience.</p><p>Cindy brings:</p><ul><li>How to frame governance as an enabler and not a gatekeeper</li><li>Why third-party risk keeps rising as gen AI adoption accelerates</li><li>How to flip governance from the “no” guys to the “yes” guys</li></ul><br/>
February 19, 2026
Building Trust for Transformation in Enterprise AI
<p>When <u><a href="https://www.linkedin.com/in/shub/" rel="noopener noreferrer" target="_blank">Shub Agarwal</a></u> joined an early conversational AI startup, he was building products in uncharted territory with emerging technology few had heard of. By late 2019, Google and Meta were aggressively recruiting him. But a sudden personal loss made him rethink his priorities, leadership, and the impact he wanted to create.</p><p>From fast-growth startups to a financial regulator, he's codified a nine-step AI product framework, teaches at USC, and developed practical approaches to trust, governance, and AI agents in organizations. His story reflects intentional leadership in a rapidly evolving field.</p><p>You’ll hear:</p><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>How leaders should think about AI agents as part of their teams and workflows</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Why stepping back at key moments makes you a better leader</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>How to evaluate AI systems beyond performance metrics</li></ol><br/>
100 total episodes available with 3 transcripts
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Frequently asked questions
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- What is Data Science Leaders?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
No, this podcast does not typically feature guests.
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