Data Science Leaders
Domino Data Lab
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The Cave: Pharma's Data Problem
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…
Turning Governance Into the “Yes” Guys
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…
Building Trust for Transformation in Enterprise AI
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…
Engineering the Future of Health with AI and Data
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…
The Rise of the Self-Driving Organization
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…
The Cultural Shifts That Power AI Adoption
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…
The AI Race: Predictions for AI in National Security & the Public Sector
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…
The Future of Enterprise AI? AI in Production!
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…
The Silent Future of AI in Financial Services
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…
Pharma Is the New Tech: The Future of AI in Life Sciences
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…
AI Predictions for 2025: The Boogeyman, Agentic AI & Governance
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…
Realizing AI Value Through Governance in Insurance
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…
Mastering AI Governance with Forrester & the Federal Reserve
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…
Crossover: Ethical Machines and AI Governance
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…
AI Transformation in Government: Lessons from Unit X
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…
The EU AI Act: Key Strategies for Regulatory Compliance
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…
AI Governance in Action: Lessons from the Trenches
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…
Demystifying the Top 5 Questions of AI Governance
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…
Operationalizing privacy in the age of AI
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,…
Optimizing Your Architecture for AI Innovation: BARC Survey Results
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…
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Data Science Leaders has published 100 episodes since April 2021, covering topics in Business, Management.
Data Science Leaders is currently highly active with new episodes every 2 weeks. Average episode length is 36m.
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