Today’s consumers live in a data-driven world where they can easily access information about their homes, cars, banking and much more right from their mobile devices. Similar technologies are becoming ...

Mutual customers will benefit from greater accessibility to machine health data, improved maintenance tracking and reporting, and 24/7 remote support Equipment failures pose significant challenges in ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

Equipment malfunctions are costly and disruptive. When equipment goes down and work stops, the hourly cost to a business ranges from $36,000 in fast-moving consumer goods to $2.3 million in the ...

Traditional vibration analysis falls short for slow-speed machinery. Augury’s AI-powered platform uses high-frequency ultrasound to deliver real-time diagnostics and predictive insights for low-RPM ...

Predictive maintenance is the analysis of the condition and performance of critical machines in a plant to reduce instances of machine failure. In the past, highly experienced plant operators may have ...

Manufacturers are navigating a tempestuous landscape, wrestling with the intertwined challenges of pandemic-induced disruptions, potential tariffs and evolving policy shifts that strain global supply ...

Success in Formula One isn’t just about the driver—it’s also about the performance of the technical team. Not long ago, teams could only learn what was happening under the hood during a pit stop.

The security environment is saturated by technological advancements, creating an imperative to increase the speed with which the Army Sustainment Enterprise generates and maintains combat power as the ...

Predictive maintenance, based on more and better sensor data from semiconductor manufacturing equipment, can reduce downtime in the fab and ultimately cut costs compared with regularly scheduled ...