## IBM releases SOTA Granite Time Series PatchTST-FM-r2 model with commercial-friendly license - +47 - TL;DR - Strong zero-shot forecasting on GIFT-Eval - Competitive even against models allowed to use benchmark training data - Architecture: What changed from PatchTST-FM-r1? - Training data - Open for research experimentation — and for commercial use - Try PatchTST-FM-r2 in a few lines of Python - From notebooks to streaming time series Time-series foundation models are changing the way forecasting systems are built. Instead of training and maintaining a separate model for every dataset,…