Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using cross-functional pods that helped a client save $300M by accurately predicting demand.

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

Koteswara Rao Chirumamilla is a senior enterprise data engineering and cloud modernization professional with over fourteen ...

In 2026, the question isn’t whether Kubernetes wins – it already has. And yet, many organizations are running mission-critical workloads on a platform they still treat as plumbing, not the operating ...

Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.

In an Oregon forest, a single honey mushroom colony stretches across nearly four square miles. Weighing an estimated 35,000 tons and surviving for thousands of years, it is one of the largest and ...

Cases of consumer AI bias have attracted widespread attention, highlighting the challenges of ensuring fairness in automated systems. Google Gemini, for instance, faced criticism for generating ...

At a time when cybersecurity threats loom large over the global and domestic digital space, CWG Ghana stands as concrete evidence of technological resilience and innovation. As a subsidiary of the Pan ...

The transition from experimental AI models to production systems exposes the true quality of training data. Edge cases that were absent during testing become frequent. Small inconsistencies in ...

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...