Source: Fortune
Summary
Rob Fauber, CEO of Moody’s, discusses the importance of trust in AI and how it’s not just about the model, but about the data that feeds into it. He emphasizes that connected intelligence, which is curated data from multiple sources, is crucial for making high-stakes decisions in financial services. Fauber also highlights the risks of getting the data foundation wrong, citing a report that 95% of AI pilots are failing to deliver measurable impact. He argues that companies that unite data from third parties alongside their own data will make better, faster decisions.
Our Reading
The numbers tell one story.
Meta’s new AI model, Muse Spark, is just another example of how models are becoming commodities. The real differentiator is trust, and that comes down to connected intelligence. Fauber’s emphasis on trusted data is a reminder that AI is only as good as the data it’s fed. The stakes are high, especially in financial services, where decisions impact people’s lives. The fact that 95% of AI pilots are failing to deliver measurable impact is a wake-up call. The question is, will companies prioritize trust and connected intelligence, or will they continue to focus on the latest and greatest models?
One thing is clear: in the era of Exponential Risk, companies can’t afford to get it wrong.
Author: Evan Null
