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Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

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Episode 96

Engineering the future of health with AI and data

Data Science Leaders | 32:40 | June 19, 2025

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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 proactive, personalized care. With a background spanning regenerative therapies, digital health, and aerospace medicine, Daniel offers a wide-lens view of the challenges and opportunities shaping the next era of clinical innovation. From the limitations of “sick care” to the promise of personalized poly-pills and AI-powered digital twins, this conversation explores how to unlock proactive, personalized, and accessible healthcare at scale.

Join us as we discuss:

  • How exponential tech is enabling predictive, preventative care and what’s slowing it down
  • Why “data-to-action” is the next frontier for AI in life sciences
  • What data scientists and tech teams can do now to drive clinical impact

Get more of Daniel’s insights at DanielKraftMD.net

About the Show

Dave Johnson

Dave Johnson

Co-founder & CEO at Dash Bio

Episode 99June 03, 2026

The cave: pharma's data problem

Listen Now | 30:20

Cindy Tu

Director of IT & Data Audit, Capital One

Episode 98April 02, 2026

Turning governance into the “yes” guys

See why Fortune 100 data science leaders choose Domino

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Listen Now | 31 min

Shub Agarwal

Founder, AI Trust Lab @ USC

Episode 97February 21, 2026

Building trust for transformation in enterprise AI

Listen Now | 32 min