fragmented data

Fragmented data is a condition where information is stored in disconnected, inconsistent, and unowned systems, preventing it from being used effectively for analysis and automation.

Why it’s in the news: It is in the news because it is identified as the primary bottleneck preventing companies from successfully implementing AI and optimizing supply chains.

Latest on fragmented data

• Fragmented data holding back PHL firm AI success , Boomi says
• The real bottleneck isn't access to forecasting models or automation platforms — it's that the data feeding those models is fragmented, inconsistent, and in many cases, nobody owns it.
• When you're running AI on fragmented data, you're not optimizing supply chains. You're automating guesses at higher velocity

Connections

3 entities linked to fragmented data across the news graph.