This research initiative highlights applied AI and business analytics for financial risk management, cybersecurity, and ...

Key Takeaways AI helps businesses quickly and clearly understand customer data.It predicts what customers may do next, ...

An Osaka Metropolitan University-led research team used hourly precipitation data from 1981 to 2020 and spatial modeling to predict extreme ...

Overview:  Predictive analytics helps businesses forecast customer behavior and improve marketing decisions with data-driven ...

A recent study from researchers at Anthropic, titled ‘How AI Impacts Skill Formation,’ provides a rigorous look into this ...

Know how Market Manipulation Detection in Web3 identifies coordinated trading behavior. Learn how AI analytics spot wash trading, MEV patterns, and liquidity exploitation.

UNR Med’s IDEA Project uses AI and hands-on data analysis to teach first-year medical students how to think like clinical researchers.

The other is to invest in high-fidelity digital twins which are deemed to be powerful but costly, data-hungry, and often slow to implement. A practical middle ground is emerging: the disruption-aware ...

EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.

Unlike some other forms of lymphoma, advanced stage follicular lymphoma is considered incurable. But a new analysis of long-term data on patients treated for the disease years ago with standard ...

In today s rapidly evolving digital landscape, the challenge facing companies is no longer limited to finding technical talent. The ...

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.