AI didn’t create your IT data problem, it just exposed it

When an AI pilot in IT operations underdelivers, the first instinct is to question the technology. Was the model wrong? Did the tool overpromise? Did the team pick the wrong use case? Those are fair questions. But in many organizations, the answer sits somewhere less glamorous: in a configuration management database that hasn’t been reconciled in two years, in asset data in spreadsheets, or in a service desk where three teams use the same category field in three different ways. Transform fragmented IT data into the trusted data foundation AI needs → AI doesn’t create these problems. It surfaces them quickly and publicly. The silo problem nobody owns Most IT environments grew one tool at a time. The endpoint team adopted a management platform. Security brought in a scanner. Service management built workflows in the ITSM tool. Procurement tracked purchases in its own system. Each decision made sense on its own. Few were ever designed to share data with one another. The result is a landscape where every team holds a partial view of the same environment. The endpoint console shows 9,400 devices. The scanner sees 8,700. The CMDB lists 10,200, including hundreds retired long ago. Nobody…

≈