A.I. regulatory frameworks are proliferating globally, protecting personal privacy while unlocking "dark data" for A.I.-model training. In today's episode, Dr. Gina Guillaume-Joseph is our expert guide to these A.I. regulations.
Gina:
Was, until recently, the CTO responsible for Government at Workday, aligning the HRtech giant with the U.S. federal government’s tech transformation strategy.
Prior to Workday, was Director of Technology at financial giant Capital One.
Earlier, spent 16 years supporting the federal government as a contractor with leading firms like Booz Allen Hamilton and The MITRE Corporation.
Now works as a fractional Chief Information Officer and as Adjunct Faculty at The George Washington University.
Holds a PhD in Systems Engineering from George Washington University and a Bachelor’s in Computer Science from Boston College.
Today’s episode should be of interest to just about anyone who would listen to this podcast because it focuses on the data and A.I. regulatory frameworks that will transform our industry.
In today’s episode, Gina details:
The “dark data conundrum”.
The most important data and A.I. regulations of recent years as well as those that are coming soon.
The pros and cons of being or hiring a fractional executive.
What system engineering is and why it’s an invaluable background for implementing large-scale A.I. projects.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.