Industrial companies everywhere, from manufacturing and energy to transportation and smart cities, are being pushed to “do something with AI.” Predictive maintenance, digital twins, edge AI, and even agentic operations are now showing up on roadmaps…
The manufacturing sector is currently facing an existential challenge: the "brain drain." With approximately 30% of the workforce nearing retirement, the industry is losing decades of unwritten "tribal knowledge." In an environment of tightening margins and increasing complexity,…
Life sciences manufacturers operate in environments where innovation and compliance must coexist. But how is that possible in practice, and what use cases are emerging across the industry? In a recent webinar hosted by IIoT World, “Adapting GxP…
A fundamental change in expectations is reshaping how manufacturers evaluate artificial intelligence systems. The long-standing benchmark of 80% accuracy in document processing is no longer acceptable. In the context of AI-driven product and supply-chain decisions, this…
We are getting the conversation about data infrastructure backwards. The chatter online is saturated with debates on cloud versus edge, the merits of one database over another, and the magical promise of AI algorithms. These are…
Why access to machine data is becoming a strategic issue For years, many manufacturers operated with limited access to the data generated by their own machines. Interfaces were proprietary, extraction was restricted, and meaningful reuse often…
IIoT World examines why most industrial AI initiatives stall at roughly 40% of their potential, and what manufacturers who push past that wall do differently with contextual intelligence on the shop floor. Why Many Projects Stall…
Shown publicly for the first time at CES, the eXplore Tour is a mobile industrial environment built to answer a question most leaders ask before approving change: “Can I see this work before it touches my…
A decisive shift is underway for manufacturers implementing artificial intelligence. The focus is moving from the selection of large language models to the systems that prepare data for them. The accuracy and trustworthiness of any AI-driven…
The hidden line between convenience and dependency Manufacturers are adopting more cloud services, partner integrations, and data-driven applications every year. That shift creates a simple but decisive test for data sovereignty: does production continue if a major…
AI-driven decision making in manufacturing delivers measurable results when leadership commitment, operator trust, and incremental scaling align. In a conversation between Alec Glenn of JSW Steel USA and Karthikeyan Natarajan, Co-CEO of Infinite Uptime, concrete outcomes…
Manufacturing plants face a persistent challenge: bridging the gap between monitoring equipment and improving production outcomes. While sensors and dashboards flood facilities with data, most solutions stop at detection, leaving operators to figure out what happens…