I started out as a control systems engineer, working in plants where everything important happened in one place. There was just one site, one control room, and one process to watch. You could stand right in…
Manufacturing is the most targeted sector for ransomware, with attacks rising 56% year over year, according to OPSWAT. Verizon's 2025 Data Breach Investigations Report recorded 1,607 confirmed breaches in manufacturing, an 89% increase. Up to 80%…
EDF Power Solutions North America manages 16 gigawatts of power across wind, solar, and battery energy storage systems, with equipment from dozens of OEMs that was never designed to interoperate. To bring all of that data…
Sensors, cloud infrastructure, and algorithms keep improving, but the hardest input to capture for any manufacturing AI system is the knowledge held by a maintenance engineer who has been watching, listening to, and repairing the same…
Most manufacturers know they need to start with AI. The common advice, "start small" with a use case, prove value, and scale, is incomplete on its own. Starting small without first thinking big leads to a…
Most plants were built to make products, not to feed AI agents. The operational knowledge that AI needs is locked in formats that were never designed to be searched, structured, or consumed by machines. During a…
Manufacturers are paying more attention to AI, cloud connectivity, and advanced cyber threats, but one of the most common OT security gaps is still very practical: what gets carried into the plant. Vendor laptops, USB drives,…
Standard predictive maintenance was built for steady-state machines. A duty-cycle crane behaves nothing like one, and that mismatch is exactly where the failures hide. The Short Version A crane is the most consequential moving asset on…
Industrial companies want AI systems that can predict failures, optimize production, reduce energy consumption, and improve operational visibility across facilities. Many already have sensors, connected equipment, cloud platforms, and years of historical operational data. Yet a…
Monitoring one pump with a vibration sensor and catching a failure two weeks early is straightforward. Doing the same thing across hundreds of assets in multiple plants, with different machine types, different maintenance histories, and different…
Manufacturing competition used to center on the mechanical speed of production lines and the efficiency of output. The advantage now belongs to organizations that react to data faster, catching a quality drift, a mechanical failure signal,…
There was a time when "real-time" in energy operations meant something measured in minutes. A SCADA poll every few seconds. A historian recording values at fixed intervals. An operator watching a dashboard and making a call…