Good morning. Over the past few years, AI has become a major focus for companies across industries.
Along with the massive AI investment by companies, there’s still “a strong sense of FOMO”—fear of missing out, he said. “You don’t want to be the company that didn’t participate, and then be faced with having other companies dictate how you could do business,” he explained. That’s what happened to Meta in the last platform shift, and that’s why Google created Android, Evans said.
Regarding generative AI, some use cases that are really working for people include job development, marketing, and customer support, he said. However, he noted that some organizations still struggle to identify the best use cases for generative AI.
“There are people who’ve looked at it a couple of times and said, ‘I don’t know what to do with this,’” Evans explained. “It’s not really clear how you handle error rates, or where you should put the human in the loop.” People are also worried about data security.
Evans said it’s really up to the software companies that create AI products to guide users on how to best utilize those technologies, rather than expecting users to figure out every use case themselves. He also said the question, “What is our AI strategy?” is not just for the CIO, but for the CEO and CFO as well.