IBM watsonx.ai Studio provides the set of integrated tools for IBM watsonx.ai and Cloud Pak for Data as a Service. IBM watsonx.ai Studio is powered by IBM watsonx.ai Runtime. With a suite of tools for all skill levels, everyone can collaborate to develop machine learning solutions and on watsonx.ai, develop generative AI solutions. You can write code, visually code on a graphical canvas, or automatically build AI solutions.

In the Prompt Lab on watsonx.ai, experiment with prompts on a set of IBM, open source, and third party foundation models. Build a retrieval-augmented generation pattern in Prompt Lab, automatically with AutoAI for RAG, or with REST APIs, a Python or Node.js SDK. Tuning Studio provides methods for optimizing your prompt and foundation model.

With AutoAI, beginners can build machine learning 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.