Using detailed surveys and machine learning computation, new research co-authored at UC Berkeley's Center for Effective Global Action finds that eradicating extreme poverty would be surprisingly ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Artificial intelligence is now reshaping FP&A. It is moving finance from reactive reporting to proactive, intelligence-driven ...

Billions of people count on insurers to protect their lives and livelihoods – especially during times of turbulence. As financial first responders, insurers must correctly predict and navigate the ...

Nutshell reports that startups must choose CRMs based on growth stages, ensuring alignment with current needs and planning ...

In 1854, London was struck by a devastating cholera outbreak. Public authorities responded using the best tools and scientific understanding available at the time.Disease was widely believed to spread ...

Modern forex trading heavily depends on advanced analytics, machine learning, and real-time data processing. Big data platforms are boosting forecasting ...

Budget 2026 may focus on AI in healthcare, agriculture, infrastructure, boost semiconductor funds, and offer tax relief on loans and medical insurance.

NEW YORK, NY / ACCESS Newswire / January / Infillion, the industry's first agent-native media execution platform, today announced a strategic partnership with Yobi, the leading behavioral AI company.

This study reviews the advancements in AI-driven methods for predicting stock prices, tracing their evolution from traditional approaches to modern finance. The role of AI in the market extends beyond ...

Worldwide Flight Services (WFS), a SATS company, has developed a digital tool that uses machine learning to forecast cargo volumes and improve workforce planning. The system has been trained on 10 ...

Worldwide Flight Services (WFS), a SATS company, has developed a new digital tool using machine learning algorithms trained on 10 years of operational data to deliver highly accurate forecasts of ...