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Enterprise AI: What's It Really Good For?

A short talk for the CDX Connection on high level principles for enterprise AI, plus examples of how we're using machine learning at O'Reilly Media.

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Enterprise AI: What's It Really Good For?

  1. 1 AI in the Enterprise: What is it really good for? Tim O’Reilly Founder and CEO O’Reilly Media @timoreilly September 3, 2020
  2. The Big Picture
  3. The first principle “The opportunity for AI is to help humans model and manage complex interacting systems.” Paul R. Cohen
  4. “Computational Sustainability is a new interdisciplinary research field, with the overarching goal of studying and providing solutions to computational problems for balancing environmental, economic, and societal needs for a sustainable future. Such problems are unique in scale, impact, complexity, and richness, often involving combinatorial decisions, in highly dynamic and uncertain environments, offering challenges but also opportunities for the advancement of the state-of-the-art of computer and information science. Work in Computational Sustainability integrates in a unique way various areas within computer science and applied mathematics, such as constraint reasoning, optimization, machine learning, and dynamical systems.” Carla Gomes
  5. The second principle Don’t make the mistake of using AI simply to cut costs. Do more. Do things that were previously impossible.
  6. Amazon didn’t use robots to eliminate jobs
  7. An Amazon warehouse is a human-machine hybrid
  8. Jeff Bezos wants to speed up “the flywheel”
  9. The third principle: “First we shape our tools, then they shape us” “If you want to teach people a new way of thinking, don't bother trying to teach them. Instead, give them a tool, the use of which will lead to new ways of thinking.” Buckminster Fuller
  10. AI Ethics: AI is a mirror, not a master
  11. Q&A

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