InfoWorld

3 forecasts about time-series forecasting

Pre-trained foundation models are making time-series forecasting more accessible and available, unlocking its benefits for smaller organizations with limited resources. Over the last year, we’ve seen ...
Nature

Fuzzy Time Series Forecasting Models

Fuzzy time series forecasting models represent a versatile and robust class of predictive techniques that address uncertainty and non-linearity in data. By utilising fuzzy set theory, these models ...
VentureBeat

IBM Granite 3.2 uses conditional reasoning, time series forecasting and document vision to tackle challenging enterprise use cases

In the wake of the disruptive debut of DeepSeek-R1, reasoning models have been all the rage so far in 2025. IBM is now joining the party, with the debut today of its Granite 3.2 large language model ...
InfoWorld

5 ways companies can use time-series forecasting

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 ...
Morningstar

Ant International Open Sources Time-Series Transformer AI Model to Enable More Businesses to Benefit from AI-Powered Forecasting

Ant International currently deploys the Falcon TST AI Model to forecast cashflow and FX exposure with more than 90% accuracy Ant International, a leading global digital payment, digitisation, and ...
TechNode

Ant International open sources AI forecasting model

Every Wednesday and Friday, TechNode’s Briefing newsletter delivers a roundup of the most important news in China tech, straight to your inbox. Sign up Ant International has released its proprietary ...