Tata Steel Thailand judges plant reliability by three visible signals: housekeeping discipline, visually tagged critical assets, and active daily management boards. According to Amit Khanna, VP of Business Excellence at Tata Steel Thailand, real-time gas monitoring…
Industrial operations depend on data historians to record what’s happening on the line or in the field. But as systems evolve toward Industry 4.0, many teams find that their historians weren’t built for what’s next —…
Time-series data is manufacturing's most underused asset. Every machine produces continuous signals: vibration signatures, torque readings, and temperature curves. These signals can reveal what will happen, including what happened. Yet most plants aggregate this data into…
AI in energy has moved past dashboards and reports. According to Simon Williams, Chief AI Officer at ATELIC, industrial AI now detects equipment fatigue hours before failure, adjusts production flows automatically, and predicts energy demand shifts…
Scaling smart manufacturing with IIoT, machine learning, and generative AI requires moving beyond isolated pilots to systems that deliver measurable value across entire operations. At IIoT World Manufacturing Day, Tim Gaus, Greg Sloyer, and Sanjay Bhatia…
Predictive maintenance has proven its value across most industrial asset classes, but a stubborn 10% of equipment remains nearly impossible to monitor with conventional sensor technology. These are the assets in extreme temperatures, corrosive environments, confined…
In many industrial organizations, operations and maintenance teams still walk into work with more uncertainty than confidence. There are checklists to follow, logs to review, and a familiar set of problems that always seem one step…
Without high-quality asset master data, manufacturers risk wasting 90% of their IoT insights. Here’s how to change that. Manufacturers are racing to implement AI, digital twins, and predictive analytics—but most are leaving value on the table.…
A Practical Shift Toward Remote Operations Oil and gas operators are running offshore platforms from onshore control rooms today, not in a future pilot. In Norway, fully remote onshore control rooms manage offshore platforms using IIoT…
Manufacturing faces a widening AI readiness gap: AI capability is doubling every 3.5 months, a 100x improvement in a single year, according to data cited during an IIoT World panel session. Yet industrial adoption remains slow…
Every predictive maintenance model, every digital twin simulation, and every real-time dashboard in a modern factory depends on one thing: trustworthy time series data. Yet bad data, whether caused by sensor drift, network gaps, or timestamp…
Learn how integrating a time series database with your historian helps industrial teams detect issues faster, act in real-time, and build predictive strategies that reduce downtime. Modern industrial systems continuously generate time-stamped data from sensors, PLCs,…