In other words, we can use AI as a simulated audience: a stand-in that reacts to a data story as if it were a specific type ...

The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...

The future of process automation and control combines the reliability of traditional DCS with the agility of cloud/IT ...

Purpose-Built AI Agents Eliminate Hours of Manual Test Analysis, Accelerating Release Cycles and Empowering Engineering Teams to Ship High-Quality Applications with Unprecedented Speed and Confidence ...

Integrating raw power with the finesse of intelligent mechanical design and operator-focused ergonomics.

Nissan has extended its partnership with Monolith to speed up vehicle testing, cut development time and deliver new models to market faster.

Abstracta, a global leader in AI transformation for quality-driven engineering, announces the launch of Abstracta Intelligence, its new AI-powered delivery platform that brings measurable, ...

AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems ...

Software engineering specialist Monolith is working with the Japanese brand to use AI to accurately predict the results of physical tests. The approach is said to reduce reliance on physical ...

Data-driven AI delivering meaningful RCM impact helps health systems reduce denials and streamline payer-provider workflows in real time.

Successful adoption can typically follow in three stages: assess and plan, pilot and migrate, then operationalize and scale.