We’re thrilled to announce the beta launch of the watsonx.ai Timeseries Forecasting API and SDK, designed to empower developers with advanced forecasting capabilities. Built on the Granite Timeseries models, this new API/SDK offers unparalleled accuracy and ease of use for tackling real-world forecasting challenges.
Smarter Forecasting with Granite Timeseries Models
At the core of this capability is IBM’s Granite timeseries models (TinyTimeMixers), a family of pre-trained, lightweight models based on a novel architecture. Granite timeseries is designed to:
-
Adapt to diverse datasets: Whether it’s IoT sensor data, stock market prices, or energy demand, Granite dynamically adjusts to data irregularities, seasonality, and trends, allowing for zero-shot forecasting
-
Deliver state-of-the-art accuracy: Granite timeseries models outperform many larger timeseries models like TimesFM, Moirai, Chronos, and more that are 10x the size on various industry benchmarks, while being computationally efficient.
-
Support scalability: From small-scale business needs to enterprise-grade implementations, the models handle forecasting at any scale.
Granite timeseries models are trained on a collection of publicly available datasets which permit commercial use. A total of 700 Million timepoints were used from selected datasets from the Monash Forecasting Repository and the LOTSA collection. Granite timeseries models currently support multiple input context lengths (512, 1024, and 1536 data points), and are capable of multi-variate, multi-timeseries predictions across a number of channels and IDs. Please refer to the model card and research paper for more detailed technical information. To get started with our sample notebook in an energy forecasting example, please take a look at our Github page.
As of now, the beta feature is available in Dallas, Frankfurt, London, and Tokyo datacenters, with general availability targeted soon.
Shaping the Future of AI-Driven Forecasting
By launching the watsonx.ai Timeseries Forecasting API, IBM reaffirms its commitment to providing developers with the tools they need to build impactful AI solutions. Whether you’re improving, streamlining operations, predicting share prices, navigating emissions for sustainability or exploring entirely new use cases, this Forecasting API delivers the foundation for smarter, data-driven decisions, complementing watsonx.ai’s existing foundation model library.
Get Started Today
Ready to take your forecasting capabilities to the next level? Visit our watsonx.ai timeseries forecasting documentation to learn more, explore the SDK, and start building today.
Let’s shape the future of AI-driven forecasting together with watsonx.ai and Granite!
#watsonx.ai
#Watsonstudio
#MachineLearning
#GenerativeAI