Recent advances in forecasting demand within emergency departments (EDs) have been bolstered by the integration of machine learning and time series analytical techniques. The objective of these ...

Extreme weather events such as heavy rain and flooding pose growing challenges for early warning systems worldwide.

While a strategic approach to agentic AI can provide benefits, it also comes with real-world hurdles on the road to adoption.

Explainable predictive AI in Qlik Cloud lets teams model real-world drivers and update plans in-app with WriteTable for faster outcomes PHILADELPHIA--(BUSINESS WIRE)--October 30, 2025-- Qlik(R) , a ...

With heat waves among Europe's deadliest climate hazards, a team of scientists led by CMCC has developed a prediction system capable of providing helpful information four to seven weeks before summer, ...

Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully ...

The IMF study on Parameter Proliferation in Nowcasting shows that simpler, well-structured models guided by economic ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, traditional statistical models have struggled to interpret nonlinear, dynamic ...

Time series graphs are intuitive, helping you relate a metric to time. Marketing analysts are often faced with choosing a data visualization that speaks to managers and colleagues interested in ...