Recent advances in AI, such as foundation models, make it possible for smaller companies to build custom models to make predictions, reduce uncertainty, and gain business advantage. Time series ...
According to IBM, attention is not all you need when forecasting certain outcomes with generative AI. You also need time. Earlier this year, IBM made its open-source TinyTimeMixer (TTM) model ...
Deployed internally at Ant International to manage cashflow and FX exposure on an hourly, daily and weekly basis, Falcon TST has achieved accuracy rates of over 90%, and cut the company’s FX costs by ...
Sales forecasting—estimating the future sales of products or services based on historical data, market trends and other relevant factors—is important for any organization. According to Aberdeen, 97% ...
CNBC has entered a multi-year partnership with prediction market operator Kalshi to incorporate real-time forecasting data across its TV, digital and subscription platforms. According to Thursday’s ...
Scientists in China have developed a novel missingness-aware power forecasting method that leverages signal decomposition, multi-scale covariate interaction, and multi-domain collaborative transfer ...
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