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 absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

The machine learning market is growing in leaps and bounds, and experts project continued growth. A report by McKinsey indicates that AI has a large potential to be a significant driver of economic ...

Google is expanding its Flood Hub artificial intelligence (AI) platform to 80 countries, providing forecasting up to seven days in advance of a flood to 460 million people. Natural disasters, like ...

Developments in machine learning are continuing at breathtaking pace, both inside and outside of weather forecasting. To help assess machine learning weather forecasts from different sources, we now ...

Tropical cyclones remain one of the most formidable natural hazards, intricately governed by a complex interplay of atmospheric and oceanic processes. Recent advancements have enhanced our ...

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 ...

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...

IMF researchers show that satellite data, especially nighttime lights combined with machine learning can reliably estimate ...

DUBLIN--(BUSINESS WIRE)--The "AI and Machine Learning in Business Market: Market Size, Trends, Opportunities and Forecast By Industry Vertical, Application, Component, Region, By Country: 2020-2030" ...