The game-changing potential of generative AI (gen AI) is the talk of the boardroom. However, turning AI explorations into production-level services is proving challenging. Recent research from Deloitte found that over two-thirds of executives believe fewer than one-third of their gen AI experiments will be fully scaled in the next three to six months. The consultant said that while enterprises have seen “encouraging returns” on their initial AI investments, they often find that creating value with gen AI and deploying it at scale is hard work. That sentiment resonated with Madoc Batters, head of cloud and IT security at Warner Leisure Hotels, when asked by Zdnet to contemplate the state of AI and the hype surrounding emerging technology. “There’s a lot of talk about gen AI, and a lot of people saying they’re going to put the technology into certain areas of their business, but there aren’t many people doing it,” he said. Batters has a long-standing interest in exploring AI and machine learning. Rather than sitting on the sidelines and waiting for other digital leaders to progress in AI, he’s helping Warner put emerging technology into production.

Full report : Here’s how to overcome the obstacles to scale generative AI experiments into production services.