AI promises smarter, faster decisions - but too often, it fails to deliver. Why?
In this session, we’ll look at the common reasons AI breaks down in business contexts: poor data quality, lack of context, misaligned incentives, and the human factor that algorithms can’t replace. Through real-world examples, we’ll separate hype from reality and show where AI adds value - and where it doesn’t.