Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

Picture a single forecasting mistake triggering a cascade of negative consequences, such as surplus inventory, strained supplier relationships and disappointed customers. In today's world, accurate ...

The system generates daily forecasts of cargo tonnage, ULDs, and piece counts by flight, truck, customer, transport mode, and ...

A range of national meteorological services across Europe and ECMWF have launched Anemoi, a framework for creating machine learning (ML) weather forecasting systems. Named after the Greek gods of the ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Accurately predicting solar irradiance and wind flow patterns is requisite for renewable energy forecasting—but precision alone simply isn't enough. The data must be actionable, fast, and seamlessly ...

Economic variables also play a central role. Rising GDP per capita increases healthcare utilization rates as households are ...

Electrical power systems engineers need practical methods for predicting solar output power under varying environmental conditions of a single panel. By integrating an Arduino-based real-time data ...

Nigeria’s market community is moving beyond basic chart patterns. Affordable computing and better data feeds are putting machine learning signals on the phones of traders in Lagos, Abuja, and Port ...