With no set framework for gen AI success, and few production successes to learn from, IT leaders are left with sketchy roadmaps even as some best practices start to come into focus.
Credit: fizkes / Shutterstock
The road ahead for IT leaders in turning the promise of generative AI into business value remains steep and daunting, but the key components of the gen AI roadmap — data, platform, and skills — are evolving and becoming better defined.
That was the key takeaway from the “What’s Next for GenAI in Business” panel at last week’s Big.AI@MIT event, moderated by Lan Guan, CAIO at Accenture.
Guan, along with AI leaders from S&P Global and Corning, discussed the gargantuan challenges involved in moving gen AI models from proof of concept to production, as well as the foundation needed to make gen AI models truly valuable for the business.
It’s a position many CIOs find themselves in, as Guan noted that, according to an Accenture survey, fewer …