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…
The Stanford Emerging Technology Review (SETR) 2026, published by the Hoover Institution and Stanford School of Engineering, maps ten frontier technologies moving from research into real-world deployment. Five of them are hitting manufacturing operations directly: autonomous…
The industrial sector is flooded with claims about fully autonomous operations, but for manufacturing executives, separating marketing from operational reality is critical. Despite the billions projected for artificial intelligence this year, the factory floor remains a…
Most factory data architectures today serve between 10 and 50 consuming systems. Agentic AI will push that number into the thousands, a 100x increase in edge-based data consumers. The ISA-95 layer-by-layer model was not designed for…
Agentic AI represents a fundamental shift in how manufacturers deploy artificial intelligence, moving from passive analytics and dashboards to autonomous agents that perceive, decide, and act within operational workflows. Unlike traditional AI copilots that wait for…
AI agents are rapidly transforming industries, and manufacturing is no exception. While initial applications focused on optimizing HR, finance, legal, and claims management, AI agents are now driving significant improvements in core manufacturing operations. These intelligent…