Watson Studio democratizes data science and AI to drive innovation in your business. With a suite of tools for all skill levels, everyone can collaborate to prepare, analyze, and model data. You can write Python or R code in notebooks, visually code on a graphical canvas, or automatically build models.
With AutoAI, beginners can build models without coding and expert data scientists can speed experimentation in AI development. AutoAI automates data preparation, model development, feature engineering, and hyperparameter optimization.
Decision Optimization streamlines the selection and deployment of prescriptive models. Write code in Python or OPL, or in natural language expressions with the intelligent Modeling Assistant. Investigate and compare solutions for multiple scenarios with dashboards.
With the IBM SPSS Modeler graphical canvas, create a flow of steps to prepare data and build predictive models. Drag and drop from over 100 data preparation, data visualization, statistical analysis, predictive modeling, and text analytics nodes.
With Federated Learning, train a model on a set of federated data sources while maintaining data security. Each participating party in the federation trains the common machine learning model without moving or sharing data. The training results are fused into a more accurate model.
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