How detection theory and NFL analytics, reveal why College Football Playoff rankings struggle at scale—and why AI should ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Independent survey of finance, revenue cycle, and clinical operations leaders recognizes XiFin's leadership as AI becomes essential to denial prevention, payor policy navigation, and financial ...

Misrepresented and fabricated images spread widely on social media in the aftermath of the fatal shooting of Minneapolis ...

Yet, according to Tahir Warraich, CEO of Fynite, the shift unfolding now is far more foundational. He explains that ...

Companies that excel at strategic foresight are able to systematically track both predictable future events and true unknowns ...

Too often, organizations lack this understanding because their data is siloed, unavailable, or indecipherable to key decision makers. Quite simply, they lack the necessary tools and processes required ...

The digital advertising ecosystem has reached a critical inflection point where reactive brand safety measures are no longer ...

While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...

Adobe looks deeply undervalued vs. SaaS peers, with rising AI-driven ARR, Semrush synergy, and buybacks. See why adding ADBE ...

JPMorgan, Citi, and Goldman Sachs are investing heavily in AI technology to transform operations, enhance productivity, and stay competitive.

A multi-disciplinary team of researchers linked atomic-scale features to efficient heat-to-electricity conversion, offering ...