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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.
Check out the roadmaps for getting started. Learn how to work with the web client, find and access the services you can use, and check your permissions.
See the various private cloud and public cloud environments that Cloud Pak for Data can be deployed on.
Plan for hardware, software, storage, and security. 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, adding nodes, backing up the file system, and migrating metadata. Administer the web client by managing users and deployments and importing drivers.
Search for data, connect to data, work with integrated databases, and pull data into projects. Integrate, virtualize, transform, and refine data across multiple clouds and data sources.
Find, share, and organize data with catalogs. Govern data with business terms, rules, and other artifacts. Curate data with discovery and analysis processes. Manage business processes with workflows.
Analyze and visualize patterns and trends in your enterprise data. Create visualizations of your current data, improve decision-making with modeling, and plan your future business.
Unlock insight from your data and build models with tools such as notebooks, SPSS Modeler, AutoAI, Decision Optimization, and Streams flow editors, or the RStudio and JupyterLabs IDEs.
Deploy and manage models and functions. Track and measure outcomes from your models for fairness, explainability, and compliance. Detect and correct drift in models.
Expand your capabilities with powerful AI solutions such as Watson Assistant, Watson Discovery, and Watson Assistant for Voice Interaction.