Companies are extremely interested in generative AI as vendors push potential benefits, but turning that desire from a proof of concept into a working product is proving much more challenging.
Vendors would have you believe that we are in the midst of an AI revolution, one that is changing the very nature of how we work. But the truth, according to several recent studies, suggests that it’s much more nuanced than that.
Companies are extremely interested in generative AI as vendors push potential benefits, but turning that desire from a proof of concept into a working product is proving much more challenging: They’re running up against the technical complexity of implementation, whether that’s due to technical debt from an older technology stack or simply lacking the people with appropriate skills.
In fact, a recent study by Gartner found that the top two barriers to implementing AI solutions were finding ways to estimate and demonstrate value at 49% and a lack of talent at 42%. These two elements could turn out to be key obstacles for companies.