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Imagine asking your manufacturing data a question the same way you would ask a colleague: “What happened during the night shift that I need to know about?”
The ultimate expression of manufacturing intelligence: the Enterprise Data Platform (EDP).
While your competitors manage individual manufacturing sites, you are about to orchestrate a global manufacturing intelligence network.
In this second article, we will examine how CDM seamlessly connects to one of manufacturing’s most transformative architectural patterns: the Unified Namespace (UNS).
This is the first article of a series on how Critical Manufacturing is democratizing manufacturing data analytics. We start with insights on the Canonical Data Model and how we built it to give data the value manufacturers need.
This article outlines some common pain points observed across SMT operations, proposing a framework for achieving seamless, future-ready integration as part of a fully connected factory.
In the highly regulated world of industrial manufacturing, compliance with stringent regulatory standards is not just a recommendation – it’s a necessity. One of the most important regulations for companies that maintain records or submit information electronically in the pharmaceutical, medical device, and other regulated industries is FDA’s 21 CFR Part 11.
Making the decision to invest in an MES means you have taken the first step towards optimizing your production operations. But how can you ensure a choice that adds value and delivers genuine competitive gain?
Gartner’s strategic technology trends for 2025 showcase the tools shaping the near future, from AI-driven autonomy to sustainable computing paradigms. For manufacturers, these trends represent more than just possibilities—they are an urgent call to action to drive efficiency, resilience, and innovation.
The semiconductor industry has long been on the leading edge of manufacturing automation, and companies like Lam Research continue to drive that innovation.
