#160 Adapting to the AI Era with Jason Feifer, Editor in Chief of Entrepreneur Magazine episode artwork

EPISODE · Oct 23, 2023 · 46 MIN

#160 Adapting to the AI Era with Jason Feifer, Editor in Chief of Entrepreneur Magazine

from DataFramed

I think it's safe to say that we are in the peak of the hype cycle with generative AI. Almost every week now, we see new startups with exciting new GenAI use-cases and products. However, exciting doesn't necessarily translate to useful. And now more than ever, it's important for leaders, whether at incumbents or startups, to adapt and drive value with generative AI and focus on useful use-cases. So how can they adapt well to these tectonic changes? Jason Feifer is the editor in chief of Entrepreneur magazine and host of the podcast Problem Solvers. Outside of Entrepreneur, he is the author of the book Build For Tomorrow, which helps readers find new opportunities in times of change, and co-hosts the podcast Help Wanted, where he helps solve listeners' work problems. He also writes a newsletter called One Thing Better, which each week gives you one better way to build a career or company you love.In the episode, Jason and Adel explore AI’s role in entrepreneurship, use cases and applications of AI, the effectiveness of certain AI tools, AI’s impact on established business models, frameworks for navigating change, advice for leaders and individuals on using AI in their work and much more. Links Mentioned in the Show:Build for Tomorrow by Jason FeiferOne Thing Better NewsletterHeyGenBurger King Accepting Credit Cards in the 90s[COURSE] Implementing AI Solutions in Business

Episode metadata supplied by the publisher feed · Published Oct 23, 2023

Embed this episode

Ready to play

#160 Adapting to the AI Era with Jason Feifer, Editor in Chief of Entrepreneur Magazine

0:00 46:07

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.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of DataFramed?

This episode is 46 minutes long.

When was this DataFramed episode published?

This episode was published on October 23, 2023.

Can I download this DataFramed episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!