Standard predictive maintenance was built for steady-state machines. A duty-cycle crane behaves nothing like one, and that mismatch is exactly where the failures hide. The Short Version A crane is the most consequential moving asset on…
In 2026, the primary barrier to manufacturing efficiency is the abundance of data. Modern plants now monitor tens of thousands of assets and hundreds of thousands of individual points. However, this connectivity has created a new…
The manufacturing industry has reached a critical inflection point. The era of "pilot purgatory" is over. Based on the insights from IIoT World Days 2025, the next phase of industrial transformation is defined by three core…
How do you determine if your plant is ready for Prescriptive AI? Before investing in a prescriptive AI platform, Small and Medium Manufacturers (SMMs) must verify that their data environment is a "clean engine" ready for high-performance…
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,…
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…
AI, prescriptive maintenance, and edge analytics are reshaping how process plants run. Yet the gap between a successful pilot and full-scale impact rarely closes on technology alone. The differentiators are culture, operating model, and data foundations.…
At Infinite Uptime’s CXO Circle in Bangkok, the discussion around industrial AI felt different. The room was filled with people who run plants. They weren’t asking whether AI belongs in manufacturing anymore. They were asking how…
In most industrial operations, digital reliability still means one thing: predicting failures before they happen. But as systems mature, that’s no longer enough. The next evolution is about using machine data to drive performance, not just prevention. Seeing…
Predictive monitoring catches failure modes that standard operating procedures and interlocks cannot: specifically, manual misconfigurations such as a valve left closed after maintenance. On a critical gear pump, IoT sensors detected rising bearing temperature and abnormal…
The fastest way to scale agentic AI across multi-site manufacturing is not rip-and-replace. According to Infinite Uptime and Cybus at the AI Frontiers 2025 event, the correct sequence is: standardize signals at the sensing layer, require…