Scaling AI across operations requires more than smart software and training programs. Successful AI initiatives demand leaders to rethink foundational business elements like communication channels and organizational structures.
Treat AI as a disciplined, iterative capability rather than a one-shot miracle. Launching an AI tool just to say you did it is a quick way to burn political capital, budget, and trust.
75% of organizations moderately or extensively use AI and 39% are adopting internal copilots. The next step is plugging copilots into an MCP server that would function as a centralized cybersecurity policy control plane.
From advanced analytics to connected automation, eChem Expo 2026 offers insights that help plant teams modernize processes and improve performance. Discover solutions designed to support a more efficient, data-driven, and resilient operation.
Newer RunSafe Security study mirrors another Dec. 3 Amazon Web Services/Tata Consultancy poll showing the penetration of artificial intelligence in manufacturing, but data health and security concerns persist.
This is not a one-time project but a continuous journey from reactive chaos to a predictive, “smart” way for your manufacturing organization to function.
The reliability gap is being narrowed—as researchers tackle physics, materials, robotics, and workflow issues that have slowed industrial-size adoption.
