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

peepo/Getty Images 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. "GenAI strategies may struggle without a clear data architecture that cuts across types and modalities, accounting for data diversity and bias and refactoring data for probabilistic systems," the team stated. Also: The AI model race has suddenly gotten a lot closer, say Stanford scholars An AI-ready data architecture is a different ... Read full article.