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 ...

Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...

One of the unwritten axioms of data scientists specializing in machine learning methodologies is that they all try their hand at predicting the stock market. Some of the best attempts have turned a ...

The landscape of demand forecasting, data science and machine learning is rapidly evolving, as companies seek innovative approaches to handle the intricate intersection between technology and consumer ...

AI market forecasting uses predictive analytics and strategic planning tools to anticipate demand shifts, optimize decisions, ...

As businesses become increasingly reliant on data to make informed decisions, the importance of accurate and precise analytical business intelligence cannot be overstated. However, to truly tap into ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions 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 ...

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

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