Even as AI offloads repetitive tasks and accelerates learning and productivity, you hear more anecdotes every day about AI systems that weren’t quite ready for production. Examples of AI-powered errors in financial services, health care and the legal system reveal what’s at risk when these systems are built on a fragmented data foundation.
Although we can’t count on AI to always get it right just yet, it’s not necessarily because the underlying models aren’t ready. Often, it’s because AI systems can’t access the data they need…
