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Hosted by Domino Data Lab · 🇺🇸 us · EN · 100 episodes
Established thought leaders with verified media credentials.
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.
Domino Data Lab hosts Data Science Leaders, a business show with 100 episodes published.
Dave Johnson’s first pharma job wasn't in a lab. It was in a room, dark and cramped, stacked floor to ceiling with 30 years of decaying discovery chemistry data on every storage medium imaginable. They called it “the cav
When Cindy Tu 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 gov
When Shub Agarwal 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
Daniel Kraft, physician-scientist and founder of NextMed Health, joins Domino’s Chris McSpiritt to discuss how AI, data convergence, and systems thinking are accelerating healthcare’s shift from reactive treatment to pro
As organizations race to become AI-driven, data has emerged not just as a resource, but as a strategic advantage. In this episode, Kjell Carlsson sits down with Doug Laney, author of Infonomics and Data Juice, to explore
AI strategy isn't just about technology. It's about transformation. In this episode, CDAO expert, Dr. Shahram Ebadollahi, joins to discuss what it takes to lead AI in an enterprise and why that leadership must go far bey
What does the global race for AI look like? How has the US Department of Defense been adopting AI by engaging the private sector? And how should we expect AI policy to shift under the new administration? In this episode
What does the near term future of Enterprise AI look like? A scramble to get valuable, cost-effective, enterprise-grade AI solutions into production, with rigorous governance at scale. If that sounds like a tall order -
AI is transforming financial services and insurance, but rarely in the headline-grabbing ways you might expect. From intelligent process automation to fraud detection and risk management, AI is being embedded across oper
AI is transforming drug discovery and clinical trials, making what was once cutting-edge the new standard. Pharma companies are evolving into tech companies, leveraging AI to revolutionize every phase of drug development
What’s next for artificial intelligence in 2025? In this episode, Dr. Kjell Carlsson delivers his annual predictions about the immediate future of AI. From AI becoming the universal corporate scapegoat to the rebranding
Innovation and AI governance aren’t at odds. Done properly, governance practices can be the key to accelerating implementation of even the latest GenAI use cases. In this interview from RevX London with Raj Mukherjee, He
How can organizations drive transformative AI innovation while effectively managing its inherent risks? Is governance a bottleneck or can it become a catalyst for AI success? In this webinar, we explore the critical role
This episode is a collaboration with the Ethical Machines podcast featuring Reid Blackman — CEO of the AI ethical risk consultancy Virtue — and Nick Elprin, cofounder and CEO of Domino Data Lab. Join us as they discuss:T
Think you have a hard time driving AI adoption in your organization? Try driving AI transformation in the largest, most regulated organization on the planet – the Pentagon. In this episode, we sit down with Dr. Chris Kir
The EU AI Act, is it the first step towards comprehensive AI regulation that will make us all safer, or is it the scariest thing in AI today, or both? In this episode we speak with Adam Gale, Field CTO for AI and Regulat
AI governance is no longer a hypothetical consideration—it's critical not only to meet regulatory requirements but also to build trust, drive adoption, and deliver tangible impact with AI. In this episode, we bring toget
AI governance is more important than ever, but confusion reigns about basic questions such as: what it is, why it is important and what we should do about it. As an AI, data science, or business leader, you need to dispe
Data privacy - why is it so important in the age of AI, why is it so difficult, and what should we be doing to improve it in our organizations? In this episode we speak with Dr. Rebecca Balebako, privacy engineer and Chi
What capabilities do you need to take advantage of AI and what changes will you need to make to your IT architecture? Well, let’s look at the data. In this episode, Shawn Rogers, CEO and Fellow at BARC US, shares the res
Dave Johnson
Washington State Coaches Hall of Fame and ABCA Hall of Famer · ISHN - Industrial Safety and Hygiene News
1 appearance on this show
Daniel Kraft
physician-scientist, inventor, and health-tech pioneer · NextMed Health
1 appearance on this show
Doug Laney
Innovation Fellow, Data & Analytics Strategy · West Monroe
1 appearance on this show
Reid Blackman
CEO of AI ethical risk consultancy · Virtue Consultants
1 appearance on this show
Richard Swakla
NetApp
1 appearance on this show
Adam Gale
NetApp
2 appearances on this show
Mike Upchurch
Domino
1 appearance on this show
Chris McSpiritt
Domino
1 appearance on this show
Raj Mukherjee
Direct Line Group
1 appearance on this show
Theo Linnemann
Federal Reserve Bank of New York
1 appearance on this show
Brandon Purcell
Forrester
1 appearance on this show
Nick Elprin
Domino Data Lab
1 appearance on this show
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Data Science Leaders is hosted by Domino Data Lab. The show is categorised under business (management) and has published 100 episodes.
Data Science Leaders has published 100 episodes.
Data Science Leaders regularly covers business, management, technology. It sits in the business category, with a management focus.
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