Test automation has always been about speed. We measured success by how many tests we ran per minute and celebrated shorter regression cycles. However, we now stand at the edge of the next evolution.

AI is reshaping quality engineering, and organizations must rethink testing, governance and observability to maintain ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Quality assurance in the app development world is a necessary, but often resource-draining, undertaking. According to Statista, 23% of companies’ annual IT budgets are allocated to in-house or ...

An approach that builds cybersecurity into software and platforms can create stronger security, reducing vulnerabilities and risks. But implementation often comes with challenges. David Ulloa sees ...

Innovations in semiconductor technology—such as advancements in AI high-performance computing (HPC), Angstrom-scale silicon process nodes, silicon photonics, and automotive xEV wideband gap power ...

In my previous article “What Manufacturers Need to Know about Software-Defined Automation”, I discussed how Software-defined automation (SDA) is changing the nature of industrial automation, with a ...