Organizations increasingly need production-grade machine learning (ML) systems, not one-off models or research prototypes. The real challenge is turning data science into reliable, observable, ...

“Learning,” management guru Peter Drucker said, “is a lifelong process of keeping abreast of change. And the most pressing task is to teach people how to learn.” Nikhil Arora takes that view very ...

While embedded processor vendors usually focus on the deployment side of machine learning (ML) designs, NXP has taken the extra step of offering tools for data preparation and model training. NXP, ...

Kite, a software development tools startup, has devised a system to boost programmer productivity by using machine learning to predict the next string of code that Python programmers will write.

In a volatile market, organizations can go from thriving one moment to being in dire straits the next. Effective learning and development is one area that can determine where an organization will land ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Machine learning is one of those buzzwords that nearly every tech company likes to throw around nowadays — but according to Lukas Biewald, it represents a genuinely new approach to programming.