by Humberto De Santiago | Jul 23, 2026 | Blog
A board meeting. A slide shows “94% operational efficiency” rolled up across the network. Someone asks how the number is calculated. Nobody in the room can answer with confidence. That’s not a dashboard problem. It’s what operational reporting...
by Humberto De Santiago | Jul 20, 2026 | Blog
A line goes slow, a batch fails QC, output drops for no obvious reason — and someone points an AI tool at the operations data and asks it why. Increasingly, that’s the first move: teams are adopting or piloting AI troubleshooting tools precisely because manual...
by Humberto De Santiago | Jul 6, 2026 | Blog
Most operations teams don’t have a shortage of data — they have a shortage of usable data. Sensors are logging vibration, location, and temperature every second, cameras are capturing footage nobody reviews, and machines are throwing off status codes...
by Humberto De Santiago | Jul 2, 2026 | Blog
Most AI in operations stalls for the same reason. The model is fine. The strategy is reasonable. Even the pilot even works in the demo. Then it meets the actual factory floor, hospital wing, or shipyard — and it can’t see anything that matters. It reasons from a...
by Humberto De Santiago | Jun 29, 2026 | Blog
Every wave of enterprise technology has had a foundational architecture. For cloud, it was virtualization. For analytics, it was the data warehouse. For the current wave of AI in physical operations, the architecture has a name: Capture, Learn, Act. This is the...
