Build AI with IBM Watson Studio, implement across any cloud
Benefits↓ Features↓ Client stories↓ AI with IBM Cloud Pak for Data↓ Realize results faster: Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala. Get started here.
Build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio empowers you to operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. Unite teams, simplify AI lifecycle management and accelerate time to value with an open, flexible multicloud architecture.
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Features
Client stories

Wunderman Thompson Data
Learn how Wunderman Thompson built a scalable, efficient machine learning pipeline to drive high-volume predictions with AutoAI.

JP Morgan Chase
Discover how JP Morgan Chase improved model risk management with IBM Watson Studio.

Geisinger Health System
Learn how Geisinger Health System identified traits associated with a higher risk of mortality to develop more effective treatments.

Deploy your AI with IBM Cloud Pak for Data
IBM Watson Studio helps you build and scale AI with trust and transparency by automating AI lifecycle management. It empowers you to organize data, build, run and manage AI models, and optimize decisions across any cloud using IBM Cloud Pak for Data. Deploying AI with continuous model governance enables you to accelerate time to discovery, prediction and outcomes while keeping AI explainable and tuned to your business demand. Building on the hybrid-cloud foundation of Red Hat® OpenShift®, IBM Watson Studio on IBM Cloud Pak for Data simplifies the process of deploying almost any open source project to production with containerized resource and infrastructure management efficiency.
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