Interview with Matt Denesuk Ph.D, Cofounder and Chief Data Officer at Noodle.ai: Understanding Enterprise AI episode artwork

EPISODE · Jun 19, 2018 · 24 MIN

Interview with Matt Denesuk Ph.D, Cofounder and Chief Data Officer at Noodle.ai: Understanding Enterprise AI

from The Pulse of AI

Understanding how to apply "Enterprise AI" to automate your supply chain and business processes is a must to remain competitive in today's digital world. Join me as I talk to Matt Denesuk, Cofounder and Chief Data Officer at Noodle.ai, about what opportunities are available to C-level executives who are looking to deploy AI throughout the enterprise and how to make it happen. Noodle.ai is one of the leading AI companies in the space. And few people have the depth of experience in the field as Matt does. In his past he has held the role of Chief Data Science Officer at GE and General Manager of their Data Science Center of excellence where he led AI programs across all of GE's business units. He also led Smarter Planet and Industrial Machine Learning Research at IBM Research and was also a partner in IBM's venture capital group. The future is here. Is your company ready?

NOW PLAYING

Interview with Matt Denesuk Ph.D, Cofounder and Chief Data Officer at Noodle.ai: Understanding Enterprise AI

0:00 24:16

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Frequently Asked Questions

How long is this episode of The Pulse of AI?

This episode is 24 minutes long.

When was this The Pulse of AI episode published?

This episode was published on June 19, 2018.

What is this episode about?

Understanding how to apply "Enterprise AI" to automate your supply chain and business processes is a must to remain competitive in today's digital world. Join me as I talk to Matt Denesuk, Cofounder and Chief Data Officer at Noodle.ai, about what...

Can I download this The Pulse of AI episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!