AI Revolution: Five Things to Do Today to Prepare Your Organization for an AI Era

Imagine standing at the forefront of innovation, where the potential of Artificial Intelligence (AI) unlocks new horizons for your business. In an era where AI transcends the boundary of possibility, becoming an indispensable tool for businesses of every caliber, the journey towards integration becomes not just a strategic move, but a necessity for survival and growth.
In our webinar, Moran Cerf, academic director at Columbia Business School Executive Education, talks about the complexities of AI integration and adoption, highlighting actionable strategies to not only prepare but also thrive in the AI era.
Learn more about our new The Business of AI program go-execed.gsb.columbia.edu/bu...
In four days, participants delve into practical applications, focusing on the utilization of AI for informed decision-making and strategizing its integration within organizational structures. Engage in group activities to apply AI tools in business scenarios and learn about aligning organizational resources and structures for AI adoption.

[@TS-fr7ch]

Great info... Thanks for sharing... It's true you do speak on double speed, which is okay for me thumbs 👍

[@pacifiquebusiness]

❤

[@dlaytonj2]

Thank you for this ! Excellent advice, I just wish we could have seen the slides without a magnifying glass. Still, it forced me to focus on the words not the slides.

[@shawnewaltonify]

AI is limited by the data available, meaning the Innovation and building of various sensors that collect that data continuously in real time are the #1 limiting factor to the adoption rate of AI. In many ways, AI has up until now only been exposed to data collected by humans, but the Innovation of new sensors give AI access to the empirical world and gives AI ability to collect data on it's own.

[@TS-fr7ch]

What do these sensors like? Will AI create their own sensors? Won't AI have inference from the data?

[@ddzang]

I can’t believe the Columbia Business School puts out this kind of gibberish talks. Just a bunch of nothing gibberish trash.

[@BillAugersdca]

Which part? That companies need to look for ways to strategically implement AI into their business operations? Or that if they decide to do that, then they need to have clean and well-structured data? I could go on...

[@angloland4539]

❤