The Future of Machine Learning and AI in Healthcare Security

Anya Schiess of Healthy Ventures describing bottlenecks in Machine Learning.

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Yesterday we held our inaugural Paubox SECURE Conference at the Cowell Theater in San Francisco. The venue afforded majestic views of Alcatraz Island, the Golden Gate Bridge and Sausalito. It was an auspicious day for us.

After opening remarks and my keynote speech, our CMO Rick Kuwahara moderated a panel on The Future of Machine Learning and AI in Healthcare Security.

We had a stellar panel:

• Anya Schiess, General Partner, Healthy Ventures
• Greg Reber, Founder & CEO, AsTech Consulting
• Brent Newhouse, Co-Founder, Qventus, Inc
• Rick Kuwahara, CMO, Paubox (Moderator)

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The Future of Machine Learning and AI in Healthcare Security: My Takeaways

Here are my live tweet takeaways from the panel discussion.

End Point protection is a big focus now.

End Point protection is a big focus now – Greg Reber #pauboxSECURE pic.twitter.com/2EVeYT7Nkx

— Hoala Greevy (@HoalaGreevy) November 2, 2017

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Data is the bottleneck for Machine Learning adoption in healthcare.

“Data is the bottleneck” Anya Schiess #pauboxSECURE pic.twitter.com/8tYjks2Csf

— Hoala Greevy (@HoalaGreevy) November 2, 2017

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Getting the data out is extremely challenging in healthcare.

“Getting the data out is extremely challenging in healthcare.” Brent Newhouse #pauboxSECURE @PauboxHQ pic.twitter.com/s812YFVtDA

— Hoala Greevy (@HoalaGreevy) November 2, 2017

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There’s a behavior change component that impedes machine learning in healthcare.

There’s a behavior change component that impedes machine learning in healthcare – Brent Newhouse #PauboxSECURE @PauboxHQ pic.twitter.com/SZivBiZGk5

— Hoala Greevy (@HoalaGreevy) November 2, 2017