Your data's probably not ready for AI - here's how to make it trustworthy

Trust is fragile, and that's one problem with artificial intelligence, which is only as good as the data behind it. Data integrity concerns -- which have vexed even the savviest organizations for decades -- is rearing its head again. And industry experts are sounding the alarm. Users of generative AI may be fed incomplete, duplicative, or erroneous information that comes back to bite them -- thanks to the weak or siloed data underpinning these systems. "AI and gen AI are raising the bar for quality data," according to a recent analysis published by Ashish Verma, chief data and analytics officer at Deloitte US, and a team of co-authors.