Predictive maintenance (PdM) delivers measurable returns, but building a credible ROI case requires more than vendor estimates. IIoT World created this executive guide to help plant leaders, operations directors, and CFOs quantify the financial impact of condition-based monitoring programs. From avoided downtime costs and spare parts optimization to labor efficiency and insurance premium reductions, this […]
Read more →
After years of pilot programs and proofs of concept, manufacturers want one thing from Industrial AI in 2026: proof that it works in production. Hannover Messe 2026 (April 20 to 24, Hannover, Germany) runs under the theme “Think Tech Forward.” Industrial AI and Physical AI sit at the center of this year’s program, and the […]
Read more →
There certainly is no shortage of interest in applying AI to distributed energy operations. Battery storage operators want predictive analytics at the cell level. Renewable fleet managers want optimization recommendations across hundreds of sites. Grid operators want faster fault diagnostics closer to the asset. The ambition is real, and the use cases are sound.But ambition […]
Read more →
Edge AI enables energy companies to monitor aging brownfield infrastructure by processing sensor data locally, replacing the diagnostic expertise lost as experienced engineers retire. At IIoT World Energy Day, panelists from TDK SensEI, HiveMQ, PrivacyChain, and ARC Advisory Group outlined the operational frameworks required to deploy Edge AI for maintaining infrastructure uptime, covering prescriptive analytics, […]
Read more →
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 operational hazard: Alert Fatigue. When a plant manager receives thousands of notifications a day, the most critical “signal” is often […]
Read more →
Piezoelectric vibration sensors have been the factory standard for more than 50 years. According to Dr. Antoine Filipe, CTO of Tronics Microsystems, a TDK Group Company, MEMS-based digital sensors are now following the same replacement curve that already swept through consumer electronics and aerospace. This article examines why the shift from analog to digital vibration […]
Read more →
The industrial manufacturing sector is operating in an era of persistent volatility. To maintain global competitiveness,organizations are increasingly turning to the Artificial Intelligence of Things (AIoT). According to recent research from IDC: “71% use AIoT for predictive maintenance. Predictive maintenance is the most widely adopted use case across industries.” The financial return is undeniable. Organizations that deeply employ AI in […]
Read more →
The data challenge facing energy operations todayPower grids, renewable energy sites, battery storage facilities, substations, and smart meter networks generate millions of time-stamped data points every second. This telemetry from sensors, SCADA systems, and field devices is the foundation for real-time monitoring, predictive maintenance, and grid stability. Without the right data infrastructure, none of it […]
Read more →
For decades, the power grid functioned as a one-way street: generation to consumption. Today, that model is being dismantled by the rise of the “Prosumer”, businesses and municipalities that both consume and generate power. This shift is turning a linear grid into a multidimensional, intelligent web.In this new ecosystem, energy storage serves as a critical node. […]
Read more →
As energy storage systems (ESS) move from niche pilot projects to the backbone of the modern grid, a critical realization has emerged: the hardware is only as good as the software managing it. While a battery’s chemistry determines its potential, its Industrial IoT (IIoT) architecture determines its actual value and lifespan.In the transition to a decentralized grid, […]
Read more →
For manufacturing leadership, every capital request comes with a projection: a return on investment, a payback period, a net present value. These metrics are designed to filter good bets from bad. But there is a new, critical filter emerging in the era of artificial intelligence, and it has nothing to do with financial modeling. It […]
Read more →
Before an energy company can use artificial intelligence to predict a pipeline fault or optimize a drilling schedule, it must solve a physical problem. The industry’s most valuable data isn’t in the cloud; it’s in filing cabinets, on shared drives, and in the handwritten logs of technicians nearing retirement. This legacy knowledge, decades of inspections, […]
Read more →