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Articles tagged as industrial AI

Beyond the Alert: The Best Industrial AI Use Cases for Predictive Maintenance

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…

Atoms, Bits, and Neurons: The 2026 Mandate for Zero-Defect Manufacturing

The transition to Industry 4.0 has long been stalled by the "Data Silo" problem. In 2026, the conversation has shifted. Leading manufacturers are synchronizing Atoms (physical goods), Bits (digital data), and Neurons (human intelligence) through a paradigm known as Liquid Computing. This…

The First Step for AI in Energy Isn’t Digital

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…

10 Predictive Maintenance Platforms for Manufacturing 2026

As manufacturing moves toward 2026, the landscape of predictive maintenance is shifting from simple condition monitoring to "Agentic AI", systems that don't just alert you, but autonomously plan and execute multi-step resolutions. This evolution requires a…

Top 10 Energy Efficiency Solutions for Manufacturing 2026

As manufacturers face volatile energy costs and aggressive decarbonization targets, the focus for 2026 is shifting from passive monitoring to active grid interaction. The following 10 platforms and technologies were highlighted by industry leaders during IIoT World…

Transforming Edge Data Into Real Business Value

Industrial companies produce more machine data than ever before.  Sensors, connected equipment, and automated systems generate terabytes of raw data every single day. Yet, most of this information never translates into measurable value.  It either sits…