“So far, very few companies have seen any ROI with AI,” he added. “Most companies are still just toying with the novelty of AI.”
Concerns about calculating ROI are echoed by Stuart King, CTO of cybersecurity consulting firm AnzenSage and developer of AI-powered risk assessment tools for industrial facilities. With all the recent hype around AI, he says, many IT leaders are implementing the technology before they know what to do with it.
“I remember the first discussion we had within the organizations we work with was, 'This is a great new thing we can use right now. Let's go out and find a use for it,'” he said. says. “What you really want to do is first use it to find a problem to solve.”
King, a developer who has integrated AI into his software, is not an AI skeptic. He believes organizations can see a return on investment if they choose wisely where to focus their AI efforts.
“Ultimately, like introducing any new tool into any environment, it's basically a matter of learning it and knowing how to get the most out of it,” he says. “Once you get over that initial hurdle and that initial learning curve, there are a lot of problems that AI can solve.”
First find your use case
According to Gartner research, generative AI was the most highly adopted AI-related technology, with 28% of respondents saying their organizations had deployed it, with machine learning and natural language processing close behind.
