“You need to embrace these systems and try out what’s going on because if you don’t understand it, you really can’t hope to help your organization adapt and stay in front of this momentous, world-changing technology.”
Michael D. Watkins is a professor of leadership at the IMD Business School and a co-founder of Genesis Advisers. He was a professor at the Harvard Kennedy School and the Harvard Business School, and[…]
▸
8 min
—
with
Will platforms continue to offer the like button as an all-purpose tool — or will each of the button’s various functions exist in new forms?
Bob Goodson is President and Founder of Quid, and the co-author of Like: The Button That Changed The World. He was the first employee at Yelp, where he played a[…]
As we shape our future we should ask: Which interpretations of classic sci-fi fables hold sway with today’s powerful tech leaders?
Adam Becker is a science journalist with a PhD in astrophysics. He has written for the New York Times, the BBC, NPR, Scientific American, New Scientist, Quanta, and other publications. His books include What Is Real?[…]
Generative AI is arriving fast — both overtly and covertly — and without solid L&D guidance leaders and teams will be hobbled, argues Matt Beane.
The mindless implementation of AI tools can come at a cost for our teams. Here are some red flags and solutions.
Big Think interviews Angie Westbrock, CEO of Standard AI, to learn the secrets of adapting to the winds of change.
Former Levi Strauss & Co. CEO Chip Bergh revitalized the brand with a visionary innovation plan.
The transformational change driven by AI will elevate neurodiversity inclusion as an organizational asset, argues Maureen Dunne.
The technology is not a replacement for human labor — it’s a way to complement existing human tasks.
Big Think talks to Konrad Feldman — founder of advertising tech innovator Quantcast.
AI looks like a natural and inevitable fit for business coaching — but some humans are wary. Here are the pros and cons.
AI is both a tool and a catalyst — and the key to successful integration is to rewrite your rule book and tinker.
Practical ML can radically improve business operations, but there’s a deployment issue.