Data Science Leaders

Data Science Leaders

Domino Data Lab

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, Dr. Kjell Carlsson, for Season 2 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.

Categorias: Tecnología

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GenAI is evolving at a breakneck pace, matched only by the startups that are looking to commercialize it. So what better way to understand the latest GenAI trends than to ask a venture capitalist specializing in AI? 

In this episode, we speak with James Cham, partner at Bloomberg Beta, about the state of GenAI – where it is delivering value today – and the challenges preventing firms from moving from incremental GenAI-driven productivity gains, to truly disruptive GenAI use cases. Along the way, we cover the problem of treating GenAI like software development, the rapidly changing economics of GenAI, and the key to success with all types of AI which is – as always – understanding people. 

Join us as we discuss:

  • The cultural challenges preventing companies from unlocking the disruptive potential of GenAI
  • Why developers don’t get data-powered applications (and why data scientists need product thinking) 
  • How GenAI can change our engagement with technology (by killing the GUI)

Episodios anteriores

  • 72 - Unlocking the Disruptive Potential of Generative AI: A VC Perspective 
    Wed, 10 Apr 2024
  • 71 - Overcoming the Data Challenges of AI-driven Drug Discovery 
    Wed, 27 Mar 2024
  • 70 - AI Will Plan Your Next Vacation: GenAI at Tripadvisor 
    Wed, 13 Mar 2024
  • 69 - From the Archive: A Hybrid Approach to Accelerating the Model Lifecycle 
    Wed, 28 Feb 2024
  • 68 - Unlocking AI in the Public Sector 
    Mon, 19 Feb 2024
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