WorkThe story, in brief
Boomi CEO: The agents are ready, but the enterprise data foundation beneath them might not be
Nobody talking about this: AI pilots aren't failing because the models aren't ready. They're failing because your data infrastructure is broken.
The KeyNews take
Why it matters
Enterprise AI adoption is bottlenecked not by model capability but by data quality and legacy system integration—a critical gap between AI vendor promises and actual deployment reality that leaders need to address in their infrastructure strategy.
The key facts
5 to knowData activation identified as primary cause of shelved AI pilots
Gap between AI ambition and enterprise execution widening
Legacy systems and shadow AI building cited as barriers
Agents are capability-ready; enterprise foundation is the constraint
Source: Boomi CEO commentary on data infrastructure limitations
Go to the source
SiliconAnglesiliconangle.com
Publisher excerpt: Somewhere inside every large company, there is a long list of AI pilots — promising, applauded, then quietly shelved. The culprit, more often than not, is a data activation failure. The gap between AI ambition and enterprise reality is widening as organizations struggle with legacy systems and…