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 ...

As network automation matures, a new breed of hybrid professionals with network engineering and software development skills ...

Key opportunities in the Global App Test Automation Market include leveraging AI and machine learning to enhance testing ...

The gap between conceiving an advertising campaign and actually deploying it has always been a source of friction. Creative ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

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

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

OpenAI has rolled out a new Codex desktop app for macOS that lets developers manage multiple AI agents at once, run parallel ...

Generative AI is rapidly changing how software is designed, built, and maintained. As these systems become more capable, they are also reshaping how quality assurance teams approach testing, ...

Naresh Lokiny advances telecom and payment systems through DevOps, AI and automated testing, reducing manual tasks and ...

Agentic AI and custom-built tools are changing how PPC accounts are run – and what marketers need to focus on next.