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Learn how Cloud Pak for Data can help you make your data ready for AI and infuse AI into your business.
Plan for hardware, software, security, and storage. Follow the steps to install Cloud Pak for Data.
Choose from a catalog of available services. Set up Cloud Pak for Data by installing the services that are right for your enterprise.
Administer the cluster by scaling services and adding nodes. Administer the web client by managing users and deployments and importing drivers.
Set up access to data, search for data, work with integrated databases, and pull data into projects.
Use catalogs to find, share, and organize data. Govern data with business terms, data protection rules, and other governance artifacts. Curate data with discovery and analysis processes.
Integrate your data across multiple clouds and data sources by virtualizing, transforming, and refining it.
Unlock insights from your data with tools such as the notebook, dashboard, and Streams flow editors, or the RStudio and JupyterLabs IDEs.
Expand your capabilities with powerful AI solutions such as Watson Machine Learning, SPSS Modeler flows, Decision Optimization, Watson Assistant, and more.
Jump start your analysis for common business issues by importing industry accelerators with pre-defined business terms and data science artifacts to get you started.
View the reference documentation for the Cloud Pak for Data collection of open and extensible REST APIs and additional developer resources.