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Bounce! Conversations with Larry Weeks

Interviews w/ authors, entrepreneurs, athletes and others on resilience, getting on or getting over life’s set ups and setbacks.

On the podcast Larry has in-depth conversations with notable people from a variety of fields and occupations; professors, entrepreneurs, athletes, physicians, etc, to get their stories or research on how to deal with or prepare for life’s challenges, stumbles, and stings. If research exists on how people bounce back, he talks about it. If there are physical practices, proven psychologies or philosophies that can help people build personal foundations before the storms come, he digs into it.

Apr 7, 2019

The abbreviation A.I. along with its phrase “artificial intelligence” for many invokes fantasies of sentient overlord robots everywhere or benevolent machine assistants or sexy operating systems.

It can be difficult to separate hype from reality. Newsfeed cycles don’t help either. Stories circulate with titillating headlines as to what A.I. has just done without context as to where it's failed.

Regardless we should pay attention, because the ultimate goal of A.I. is to not only make machines intelligent - but as intelligent as humans.

Hence my guest, Rob May. Rob is the CEO and Co-founder of Talla, a Boston-based company offering AI-Powered automation for service and support Teams. He is an angel investor in 50 A.I. companies and the Managing Director at Half Court Ventures.

Rob also writes InsideAI, the world's most popular email newsletter on artificial intelligence.

I wanted to have somebody like Rob on not only because of his deep expertise running his own company but his broad exposure to many different types of A.I. forward companies.

Join us as we discuss these topics and more

  • Defining and discerning A.I. and Machine Learning 
  • Hype and current reality 
  • Where is A.I. working 
  • Where and why companies fail with A.I.
  • Perspective on the near and long term futures of A.I.
  • How companies and people can prepare for broad adoption
  • Where does he see most of A.I.'s value creation coming from
  • How he evaluates companies to invest in who say they use AI
  • and much more ...

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