Prodigious Sol Rashidi has deployed nearly 40 large-scale data and A.I. projects at Fortune 100 companies. Her rich insights on doing this successfully fill her new book and are distilled into today's fun episode.

Sol ☀:

• Has been a C-suite data/analytics/A.I. leader at Estée Lauder, Merck pharmaceuticals, Sony Music and Royal Caribbean Cruise Lines.

• Was Senior Partner leading the Digital and Innovation Practice at EY and was the Partner who led the Watson go-to-market at IBM.

• Has been involved in over three dozen large-scale data/A.I. deployments.

• Is recognized with a string of international awards for her leadership.

• Holds eight patents with many more pending.

Today’s episode will be invaluable to anyone who’d like to succeed at deploying A.I. models commercially. In it, Sol details:

• Her straightforward system for selecting the enterprise A.I. projects that will be successfully deployed.

• What kinds of A.I. projects should always be avoided.

• Why larger enterprises drag their feet on impactful A.I. projects and how to overcome such corporate logjams.

• When you should patent an innovation.

• Why Chief Data Officers and related C-suite roles have such high turnover.

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.