#971 The Red Queen Problem with Anthony Scriffignano, PhD, Data Scientist 

Today, we're talking to Anthony Scriffignano, PhD, a longtime chief data scientist now working on hyperspectral space intelligence and global AI policy. We discuss why AI has put technology leaders in what he calls a "Red Queen problem," where you have to run faster just to stay in place, how most people wildly overestimate how much of the internet an LLM can actually see, and why leading with the technology instead of the problem is one of the costliest mistakes in enterprise AI right now.

All of this right here, right now, on the Modern CTO Podcast!

About Anthony Scriffignano

I’m an internationally recognized data scientist and inventor with decades of experience analyzing disruption, computational linguistics, and AI. I’ve been fortunate enough to serve for over 20 years at Dun & Bradstreet, assisting organizations and regulators all over the world with patents and complex analytics. Along the way, I’ve advised the White House Office of Science and Technology Policy, contributed to reports for the President, and sat on various corporate boards, gaining valuable insights into global data structures and trustworthy AI. Currently, I’m working with the Stimson Center in Washington, D.C., alongside collaborating on a cutting-edge space venture, and I’m passionate about helping technology leaders apply first principles and critical thinking to navigate change.