That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...

Troy Mahr, Director, Rockwell Automation, explains how achieving autonomous operations requires integrating industrial data and AI to eliminate silos ...

As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

New data analysis facility will use real-time inputs and predictive models to improve traffic flow and event planning ...

Using the Data Drive platform, traffic patterns before and during the event were assessed to identify congestion points and ...

Dubai's RTA launches AI lab to predict and prevent traffic congestion, enhancing citywide transport efficiency.

The operationalization of integrated theatre commands in 2026, adversary-focused and geographically optimized, will catalyze ...

The race to build artificial intelligence is not just a story about clever code or faster chips. It is a struggle over who ...

By: Yasin Turkcan, SVP, Product & Innovation at Gainwell Technologies  | Integrating AI and analytics to improve SNAP payment ...

Encouraged by the success of an artificial intelligence-based early warning system in Madukkarai, Coimbatore, which has helped prevent elephant deaths on railway tracks, the Tamil Nadu government on ...

Artificial intelligence-driven transformation in retail means autonomous agents are moving into operations and new data and ...