Discover how predictive maintenance from Comet extends rail component life, reduces downtime, and lowers lifecycle costs ...

Data-driven control represents a paradigm shift in the design and implementation of controllers for both linear and nonlinear systems. Eschewing traditional reliance on first‐principles models, this ...

A study shows how intelligent monitoring systems enable real-time data collection and predictive maintenance in oil drilling operations. By ...

Quick diagnostic sprints deliver measurable results in weeks, not years, helping manufacturers prove AI value before ...

These standout case studies show how manufacturers have reduced downtime, cut costs, and improved reliability using ...

With AI Road Sense, ZF takes vehicle safety and comfort to a new level: The AI-powered system detects road conditions and driving behavior in real time, enabling predictive and adaptive chassis ...

As the Army looks ahead to 2030, it is building a more data-centric, data-cultured, and data-dependent Army. Data superiority requires skilled data leaders and effective data systems focusing on ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

Koteswara Rao Chirumamilla is a senior enterprise data engineering and cloud modernization professional with over fourteen ...

Predictive analytics–driven disease management outperforms standard of care among patients with chronic heart failure. Objectives: To evaluate the effect of a predictive algorithm–driven disease ...