Live from TWIMLcon! Scaling ML in the Traditional Enterprise - #309

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By TWiML & AI and Sam Charrington. Discovered by Player FM and our community — copyright is owned by the publisher, not Player FM, and audio is streamed directly from their servers. Hit the Subscribe button to track updates in Player FM, or paste the feed URL into other podcast apps.

In this episode from a stellar TWIMLcon panel, the state and future of larger, more established brands is analyzed and discussed. Hear from Amr Awadallah, Founder and Global CTO of Cloudera, Pallav Agrawal, Director of Data Science at Levi Strauss & Co., and Jürgen Weichenberger, Data Science Senior Principal & Global AI Lead at Accenture, moderated by Josh Bloom Professor at UC Berkeley. In this episode we discuss:

  • For an ML/AI initiative to be successful, a conscious and noticeable shift is now required in how things used to be managed while educating cross-functional teams in data science terms and methodologies
  • It can be tempting and exciting to constantly be trying out the latest technologies, but brand consistency and sustainability is imperative to success
  • How the real business value - the money - can be found by putting your big ML/AI goals and projects in the core competencies of the company.
  • Are traditional enterprises fundamentally changing their business through ML/AI, and if so, why?
  • Real-world examples and thought-provoking ideas for scaling ML/AI in the traditional enterprise

The complete show notes can be found at twimlai.com/talk/309.

340 episodes