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Episode 92

The future of enterprise AI? AI in production!

Data Science Leaders | 41:28 | April 10, 2025

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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 production
  • Breaking down the data, infrastructure and organizational silos
  • Best practices for tackling governance, security and cost challenges
  • Examples of AI efficiency gains in healthcare, pharma, and beyond

About the Show

Leo Reyes

Leo Reyes

Global Head of Data Science, Data & Technology Solutions

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Stephen Hahn, M.D.

Stephen Hahn, M.D.

Chief Executive Officer (and 24th Commissioner of the U.S. FDA)

Episode 101

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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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