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Francisco Almada Lobo, co-founder and CEO of Critical Manufacturing, is a leading voice on Industry 4.0 and digital transformation, with more than 25 years of experience optimizing complex manufacturing operations.
Understand how resolving context at the source can minimize costs and boost accuracy in AI manufacturing processes.
As agentic AI moves from advising to acting in manufacturing, organizations must be able to explain and defend every decision.
AI pilots demo well but fail to scale because they connect directly to operational data instead of a governed execution layer.
You can vibe code an app. The question is whether you can (or should) vibe code a full MES, and the answer has less to do with how good the code generator is than with what an MES actually is.
For years, the manufacturing sector was not seen as a prime target for cybercriminals. Banks, retailers, and hospitals were more attractive: they held sensitive data, financial assets, or personal records that could be directly monetized.
Ever since we showcased the potential of AI agents and MCP servers within MES and Data Platform contexts at the MES & Industry 4.0 Summit 2025, things have taken off fast. Everyone’s excited. Rightfully so.
The implementation of an MES CoE offers a strategic solution, aiming to standardize processes and technologies across these diverse environments while fostering agility and responsiveness to shifting business conditions.
The implementation of an MES CoE offers a strategic solution, aiming to standardize processes and technologies across these diverse environments while fostering agility and responsiveness to shifting business conditions.
Digital Twin is a concept, not an application, and definitely not a shortcut to achieving smart manufacturing benefits. Unfortunately, it is necessary to understand that the path to I4.0 is a path of sophistication, but also of maturity.
