Data Science Leaders

Domino Data Lab
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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.

  1. The Cave: Pharma's Data Problem

    1 天前

    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 imaginable. They called it “the cave.” A physicist turned data leader, Dave has spent two decades solving the same problem: scientific data is generated for one purpose, poorly captured, and left abandoned. Now co-founding Dash Bio after years leading data science at Moderna, Dave joins Thomas to make a case the industry would rather not hear: AI pilots keep failing because organizations can't understand their own data or tell whether anything they build improves how they work. Listen in to hear: Why "the cave" is still an accurate description of how most pharma companies manage dataWhy clinical trial numbers mean nothing without the metadata behind themHow the US needs to treat China’s clinical trial volume as a wake-up call

    32 分鐘
  2. Turning Governance Into the “Yes” Guys

    4月1日

    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 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. 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. Cindy brings: How to frame governance as an enabler and not a gatekeeperWhy third-party risk keeps rising as gen AI adoption acceleratesHow to flip governance from the “no” guys to the “yes” guys

    31 分鐘
  3. Building Trust for Transformation in Enterprise AI

    2月19日

    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 recruiting him. But a sudden personal loss made him rethink his priorities, leadership, and the impact he wanted to create. 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. You’ll hear: How leaders should think about AI agents as part of their teams and workflowsWhy stepping back at key moments makes you a better leaderHow to evaluate AI systems beyond performance metrics

    33 分鐘
  4. Engineering the Future of Health with AI and Data

    2025/06/18

    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 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 downWhy “data-to-action” is the next frontier for AI in life sciencesWhat data scientists and tech teams can do now to drive clinical impact Get more of Daniel’s insights at DanielKraftMD.net.

    33 分鐘
  5. The Rise of the Self-Driving Organization

    2025/04/16

    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 Data Juice, to explore how generative AI is accelerating the journey toward data monetization and organizational autonomy. Doug shares why traditional approaches to data management no longer suffice, how digital twins and agentic AI are redefining business models, and why the future may belong to self-driving organizations. Tune in to hear: How AI is reshaping the economics of data and enabling new business modelsWhy organizations should embrace agentic AI and digital twins to stay competitiveWhat leaders must do today to build autonomous, AI-native enterprises

    35 分鐘
  6. The Cultural Shifts That Power AI Adoption

    2025/04/02

    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 leadership must go far beyond just selecting the right tools or models. Drawing on his experience building AI teams, Shahram explains why the Chief AI Officer role is one of the most complex, and most critical, positions in modern organizations. Here we talk about the cultural, organizational, and strategic shifts needed to embed AI deeply and responsibly, and how to move from experimentation to value delivery at scale. Whether you're leading AI or supporting it, this conversation offers a clear-eyed view of what success really requires. Tune in to hear: Why the Chief AI Officer must balance tech depth with business visionHow to structure teams and incentives for lasting AI successHow to move from AI experimentation to real business impact

    47 分鐘
  7. The AI Race: Predictions for AI in National Security & the Public Sector

    2025/03/19

    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 administration?   In this episode – the last in our series on the future of AI – guest host Joel Meyer, President of Public Sector at Domino, sits down with General Jack Shanahan (Ret.) former Director of the Joint Artificial Intelligence Center at the U.S. Department of Defense, and Lauren Bedula, Managing Director at Beacon Global Strategies. Join us as we explore: How the U.S. Department of Defense is accelerating AI adoptionThe global AI race: U.S., China, and alliesAI policy shifts under the new U.S. administrationPredictions for AI in the Public Sector for 2025 and beyond Also, hear more of Lauren’s thoughts on national security and tech innovation on the Building the Base podcast.

    46 分鐘
  8. The Future of Enterprise AI? AI in Production!

    2025/03/05

    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 like a tall order - that’s because it is! However, large advanced organizations (yes, even outside of the tech sector) are already seeing success deploying AI solutions and we can expect the pace to accelerate rapidly in the next 1-2 years. To find out how enterprises are gearing up for this challenge we speak with Richard Swakla, AI and ML Specialist at NetApp and get the inside scoop on the trends that are underway and the strategies organizations are putting in place to operationalize meaningful AI outcomes.   Join us as we discuss:The pressure to shift from experimentation to productionBreaking down the data, infrastructure and organizational silosBest practices for tackling governance, security and cost challengesExamples of AI efficiency gains in healthcare, pharma, and beyond

    42 分鐘
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簡介

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.

資訊

  • 創作者
    Domino Data Lab
  • 活躍年代
    2021年 - 2026年
  • 集數
    100
  • 年齡分級
    兒少適宜
  • 版權
    © Copyright Domino Data Lab
  • 節目網站
    Data Science Leaders