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The Coming Machine Learning Wave: 4 Steps to Avoid Getting Left Behind

Organizations of all kinds are now seeking strong machine learning (ML) capabilities to stay competitive. Should they build or buy, and what does it depend on? What is the likely ML expertise obtainable? Where should it live organizationally? How mature are available ML tools, and what is their true ownership cost?

In this webinar, we will describe five critical steps of developing machine capabilities, determine the true cost of ownership of machine learning tools, outline how successful organizations have set up their data science capabilities organizationally, and pinpoint a spectrum of hybrid strategies for creating in-house machine learning capabilities spanning the build vs. buy extremes.
Recorded Sep 12 2013 46 mins
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Presented by
Alexander Gray, PhD, CTO and Co-Founder, Skytree
Presentation preview: The Coming Machine Learning Wave:  4 Steps to Avoid Getting Left Behind

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  • Title: The Coming Machine Learning Wave: 4 Steps to Avoid Getting Left Behind
  • Live at: Sep 12 2013 6:00 pm
  • Presented by: Alexander Gray, PhD, CTO and Co-Founder, Skytree
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