Quality assurance teams across modern software development face a new reality. AI enabled applications do not behave like traditional systems. Outputs shift based on context....Read More The post ...

In the next few years, software testing — a critical but traditionally manual phase of development — is poised for a ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Strategic AI-driven QE can be the key to accelerating delivery, strengthening reliability and maintaining market velocity.

Key opportunities in the Global App Test Automation Market include leveraging AI and machine learning to enhance testing efficiency, advancing cloud-based real device testing solutions, and ...

What happens when Ramp-testing a vehicle happens around the assembly line, earlier-faster-deeper-and-smarter than before? And ...

IoT penetration testing is a security assessment of the complete IoT ecosystem, from backend systems and cloud services to mobile devices and hardware. It involves a multi-stage simulated attack on ...

Automation is necessary, but it can bring an "automation paradox": Speed without insight may simply propagate errors faster ...

OpenAI has launched a new Codex desktop app for macOS that lets developers run multiple AI coding agents in parallel, shifting software development from writing code to managing autonomous tasks and ...

To prevent platform failures, financial services firms must shift testing focus from the vendor core to their customisaptions ...

The promise of agentic AI to transform customer experience (CX) is undeniable. AI-enabled CX platforms are rapidly expanding into a global market, with forecasts predicting it will reach USD 117.8 ...