Executives Want Returns on Gen AI, but the Challenges Are Fierce

The Roundup: Nuts and bolts issues like data quality, inadequate risk controls and escalating costs all pressure generative AI efforts.

By the end of 2025, nearly a third of AI projects, 30%, will be abandoned after proof of concept, reports Gartner. Among the challenges that could bring an AI project down: poor data quality, inadequate risk controls, escalating costs or unclear business value.

“After last year's hype, executives are impatient to see returns on Gen AI investments, yet or…