Automation World

The Insight-to-Action Gap: How Integrating ML Anomaly Detection with CMMS Eliminated 84% of Unplanned Downtime

Predictive maintenance fails not from bad models, but broken handoffs. Here's the integration architecture that closed the ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
IndustryWeek

Leveling Up Condition-Based Maintenance With AI, Machine Learning

Seasoned manufacturing professionals know the assets that make their products – the assembly robots, CNC machines, and conveyor belts – are just as important as the final products themselves. These ...
pv magazine USA

All emerging cyber threats targeting power infrastructure at a glance

Researchers in Morocco analyzed cybersecurity challenges in smart grids, highlighting AI-driven detection and defense strategies against threats like distributed denial-of-service, false data ...

Confluent Intelligence Expands Real-Time Business Data To Enterprise AI

Confluent Intelligence Expands Real-Time Business Data To Enterprise AI. Support for the Agent2Agent protocol helps connect AI agents anywhere in real time so they can collaborate at enterprise scale ...