A model can be 95% accurate and still be a disaster if it’s too slow or drifts. Don't just watch the model — watch the plumbing, the data loops and the blast radius.

As AI‑generated insights proliferate, direct engagement with customers becomes a critical differentiator. Product managers ...

Telling employees you're "all in" on AI is one thing. Knowing whether it's actually being used—and creating impact—is another. If you don't track adoption, you risk falling into the trap of vanity ...

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 ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

AI is reshaping the operational layer of engineering—how teams plan, estimate, prioritize, detect risk and coordinate across ...

Agentic AI is transforming software testing. Unlike traditional testing, AI agents autonomously write, execute and evolve tests by reasoning about software behavior. Successful implementation requires ...

Ezanne Grobler, Head of Quality Assurance competency, iOCO. iOCO has launched one of the first locally developed ISTQB-aligned AI testing e-learning courses in South Africa, to upskill quality ...

We can’t simply trust AI to make up for bland creative with sheer volume. The real performance shift happens when we use AI ...