S4: #037: Kevin Lyman on Deep Learning, Startup Competitions, and the Woz

Our guest in this episode is Kevin Lyman, an extremely talented entrepreneur and computer scientist based out in San Francisco. He’s worked at companies including Microsoft and SpaceX, and he’s even founded several companies as well.
Now he’s applying his ability to create leading products to the healthcare sector- and he’s the COO and Lead Scientist for Enlitic, a startup that develops deep learning products to make doctors faster and more accurate. He’s going to help us break down some of the details and capabilities of Artificial Intelligence, and explain the differences between machine learning and deep learning. Don’t worry - you don’t have to be a computer scientist to understand it, but with so many terms floating around for a set of technologies that is on track to be the most significant development of our lifetime - we need to peel back the curtain a little bit to understand them a bit better. Then we get into how all this is making an impact on healthcare, and how people and organizations are collaborating to create and implement the solutions.

Today's Topics:

The data problems and opportunities facing health organizations

The differences between AI, machine learning and deep learning

Enlitic's approach to gets critics on board to support their products

The regional differences that help drive the different responses to AI solutions

Presenting to Steve “The Woz” Wozniak at Cube Tech Fair – and winning €1 million in the process

Links and Resources Mentioned:

Forbes Article: “U.S. Falls Behind China & Canada In Advancing Healthcare With A.I.” 

Enlitic Founder Jeremy Howard

Contact Enlitic: info [at] enlitic.com

Kevin Lyman on Linkedin

Kevin Lyman on email: kevin [at] enlitic.com

Kevin Lyman on Twitter

Company website: https://www.enlitic.com

Digital Health Events

Join Digital Health Today

Video:
Enlitic Lung Cancer Screening Demo
Chest X-Ray Population Screening Demo
The wonderful and terrifying implications of computers that can learn I Jeremy Howard
Learn more about your ad choices. Visit megaphone.fm/adchoices

Our guest in this episode is Kevin Lyman, an extremely talented entrepreneur and computer scientist based out in San Francisco. He’s worked at companies including Microsoft and SpaceX, and he’s even founded several companies as well.

Now he’s applying his ability to create leading products to the healthcare sector- and he’s the COO and Lead Scientist for Enlitic, a startup that develops deep learning products to make doctors faster and more accurate. He’s going to help us break down some of the details and capabilities of Artificial Intelligence, and explain the differences between machine learning and deep learning. Don’t worry - you don’t have to be a computer scientist to understand it, but with so many terms floating around for a set of technologies that is on track to be the most significant development of our lifetime - we need to peel back the curtain a little bit to understand them a bit better. Then we get into how all this is making an impact on healthcare, and how people and organizations are collaborating to create and implement the solutions.

Today's Topics:

The data problems and opportunities facing health organizations
The differences between AI, machine learning and deep learning
Enlitic's approach to gets critics on board to support their products
The regional differences that help drive the different responses to AI solutions
Presenting to Steve “The Woz” Wozniak at Cube Tech Fair – and winning €1 million in the process

Links and Resources Mentioned:

Forbes Article: “U.S. Falls Behind China & Canada In Advancing Healthcare With A.I.” 

Enlitic Founder Jeremy Howard

Contact Enlitic: info [at] enlitic.com
Kevin Lyman on Linkedin

Kevin Lyman on email: kevin [at] enlitic.com
Kevin Lyman on Twitter

Company website: https://www.enlitic.com

Digital Health Events
Join Digital Health Today

Video:

Enlitic Lung Cancer Screening Demo

Chest X-Ray Population Screening Demo

The wonderful and terrifying implications of computers that can learn I Jeremy Howard

Learn more about your ad choices. Visit megaphone.fm/adchoices