Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science

#72 Focusing on Simplification to Solve Data Science Roadblocks with Evan Shellshear – Head of Analytics

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Evan Shellshear has been an entrepreneur for more than a decade, and throughout that time he has always loved getting his hands dirty with building products from scratch and then commercializing them. Evan has a passion for innovation and not just from a managerial perspective but also from a doing perspective. He has a Ph.D. in Game Theory, is published in fields computer graphics to politics, mathematics to manufacturing, and much more. Evan has founded or co-founded over half a dozen companies to commercialize different technologies.

Enjoy the show!


We speak about:

  • [01:15] How Evan started in the world of data
  • [09:45] Zoom out to solve technical roadblocks
  • [12:10] Examples of how Evan zoomed out
  • [14:25] Why is zooming out a challenge for data scientists?
  • [18:00] Focus on simplification
  • [22:45] Taking opportunities that present themselves
  • [27:00] Measures of success during a project
  • [31:00] The process of a case study
  • [36:05] Getting users to adopt new technologies
  • [40:00] Innovation Tools
  • [47:20] Evan’s proudest moment
  • [49:40] Challenges for the future of machine learning
  • [51:30] Get soft skills

    • Resources:

    Evan’s LinkedIn: https://www.linkedin.com/in/eshellshear/

    Innovation Tools: https://amzn.to/2OrrAsj


    Quotes:

    • “Take a step up and over to look at the problem in a new direction.”
    • “It is in our human nature to overcomplicate things.”
    • “I need to help the company understand what the true problem is.”
    • “Take a low-risk approach to solve your client’s problem.”


      • Thank you to our sponsors:

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      And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!

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      Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data ScienceBy Felipe Flores
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