Nixtla Raises $16 Million Series A To Advance Time Series Intelligence and Agentic Forecasting

The funding backs continued innovation in production-grade forecasting, anomaly detection, and artificial intelligence.
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 ...
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 ...
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 ...
PV Tech

Moving beyond TMY: Why the solar industry needs time series data for PV project evaluation

Solargis’ Evaluate 2.0 platform uses more granular time series data. Image: Solargis. For years, the solar industry has relied on Typical Meteorological Year (TMY) data as the standard for PV ...