When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

In healthcare, the costs are not merely financial. Incomplete, inconsistent or delayed electronic health records can lead to ...

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 ...

No single team can make AI explainable alone. Product teams define goals and clarify which decisions matter most. Data ...

We often wonder what an AI Centre of Excellence (AICOE) would look like. I intend to list a set of activities that such a team must carry out. First, the AICOE’s roles and responsibilities ...

"If you focus on the enterprise segments, then all of the AI solutions that they're building still need to be evaluated, which is just another word for data labeling by humans and even more so by ...

In its 2026 trucking trend predictions, Geotab outlined where AI and data may matter most as fleets plan maintenance, safety, ...

For the past decade, progress in artificial intelligence has been measured by scale: bigger models, larger datasets, and more ...

With impressive benchmark results, the Chinese AI lab's latest open-source release reignites questions about whether expensive models are worth it.