- ISSUE 10
September 28, 2026
This week's strongest signal is not another predictive-maintenance model. It is the movement from prediction to workflow to execution, and a shift toward proving value across the whole maintenance system rather than optimizing one dashboard.
- ISSUE 9
September 21, 2026
Industrial AI is moving past prediction in two directions at once: upward into shutdown and turnaround coordination, and downward into fault recovery at the machine. The interesting layer between them is not a smarter model. It is operational context: live equipment state, work dependencies, procedures, authority and verification.
- ISSUE 8
September 14, 2026
This week's strongest signal is not another predictive-maintenance dashboard. It is the shrinking amount of specialist reprogramming, data preparation, and hand-built logic required to make industrial AI useful.
- ISSUE 7
September 7, 2026
This week's strongest signal is not a new predictive-maintenance algorithm. It is the continued migration of industrial AI from advice into action: agents inside engineering software, ERP workflows, SCADA/HMI environments and, increasingly, robots operating in physical plants and jobsites. The second signal is less comfortable: the same increase in capability is beginning to compress the specialist effort required to attack operational technology.
- ISSUE 1
July 27, 2026
The consequential shift is not better predictive maintenance. It is the movement from isolated prediction tools toward evidence-grounded agents that assemble work, retrieve plant history, estimate resources, and propose actions inside the maintenance workflow.