Practical AI

TensorFlow in the cloud

Mar 2, 2020
Craig Wiley, Director of Product Management for Google Cloud AI Platform, shares insights from his extensive experience, including his time at AWS. He discusses the evolution of TensorFlow and its significant role within Google Cloud. The conversation highlights how enterprises leverage AI tools to enhance productivity, the balance between building custom solutions and buying existing ones, and the challenges organizations face with AI implementation. Craig also provides guidance for beginners eager to dive into TensorFlow and cloud AI technologies.
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ANECDOTE

Unity's Ad Targeting

  • Unity uses TensorFlow Enterprise to test and scale machine learning models.
  • This allows them to serve relevant ads and drive revenue for game developers.
ANECDOTE

GM Cruise's 4x Speedup

  • GM Cruise uses TensorFlow Enterprise to reduce their model training time.
  • They decreased training time from four days to under one day.
INSIGHT

Buy vs. Build AI

  • Enterprises should strategically choose where to buy versus build AI solutions.
  • Buy AI for non-differentiating features; build for competitive advantages.
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