As a business leader, it's important to continuously vet the complexity of your enterprise context and user scenarios.

AI may dominate industry conversations, but data modeling is delivering measurable results today. Discover how food, dairy ...

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, ...

The most important shift in smartphone artificial intelligence is happening where it is hardest to see: inside the phone ...

Tether Data's AI research initiative, QVAC, today announced the open-source release of VisionPsy-Nano, a compact 460-million-parameter vision-language model (VLM) purpose-built for on-device and edge ...

A new DataGrail report finds many AI vendors fail to disclose subprocessors and hidden models, exposing companies to rising shadow AI and data privacy risks.

Liquid AI, founded by former MIT computer scientists, today released its smallest AI language model yet, LFM2.5-230M, and enterprises would do well to consider it for their uses in data extraction and ...

I remember sitting there and realizing I wasn’t thinking about the model at all. I was thinking about the data feeding it. One discussion stands out in particular. We were evaluating how predictive ...

Financial reporting depends on data generated across multiple enterprise systems, each maintaining distinct data models and ...