CIOs who launched AI projects over the past year that didn’t deliver on expectations, or failed entirely, aren’t alone. Investments in AI projects have surged, but nearly half of enterprises have struggled to demonstrate business value, according research from Gartner. “People jumped in with unrealistic expectations, and that’s where the biggest disappointments are coming from,” says Manav Misra, chief data and analytics officer at Regions Bank. He and many other practitioners say technology isn’t the problem, it’s everything that surrounds it. Organizational, operational, and structural failures have been derailing projects at every step in the journey.

Full report : Why enterprise AI initiatives stall — and what CIOs can do about it.