According to an IDC InfoBrief, 82% of companies experienced at least one unplanned outage over the past three years, with an average cost of $2 million per event. Among heavy IIoT adopters, 63% report productivity and…
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…
OT security teams present lists of critical vulnerabilities. Executives ask for Return on Investment. The conversation stalls because cybersecurity spending does not generate revenue; it prevents loss. At S4x26 in Miami, Hector R. Perez of Black…
Manufacturers competing on ESG performance are replacing manual utility tracking with AI-driven systems that connect energy data to operations in real time. The results are measurable: one automotive manufacturer cut energy usage by over 20%, saving…
Most manufacturers looking at software-defined automation ask the wrong question first. The question is not "should we replace our hardware PLCs with virtual ones?" At Siemens, the S7-1500 virtual PLC and the hardware PLC share the…
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,…
AI already produces summaries, recommendations, and reports across manufacturing. Few manufacturers trust those outputs enough to act on them. Searching a document library or summarizing a maintenance file is a support function. Recommending a process change,…
In manufacturing, the window between a small deviation and a costly event can be measured in seconds. A vibration pattern shifts, a batch parameter drifts, a temperature moves outside its normal band. The data exists, but…
AI accelerates both sides of OT cybersecurity. When AI writes the malware, defenders need to understand exactly how capable the threat is and where the real risks lie. Attackers use AI coding assistants to speed up…