Experience AutoAI

Take a quick tour of IBM Watson® Studio and see why AutoAI is an award-winning feature.

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Build AI with IBM Watson Studio, implement across any cloud

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.

Realize results faster:

  • Automate AI lifecycle management
  • Govern and secure open source notebooks
  • Prepare and build models visually
  • Deploy and run models through one-click integration
  • Manage and monitor models with explainable, trusted AI

→ Read the Forrester report

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.

Benefits

Optimize AI and cloud economics

Put multicloud AI to work for business. Use flexible consumption models. Build and deploy AI anywhere.

Read the ESG report

Predict outcomes and prescribe actions

Optimize schedules, plans and resource allocations using predictions. Simplify optimization modeling with a natural language interface.

Watch how (07:06)

Synchronize apps and AI

Unite and cross-train developers and data scientists. Push models through REST API across any cloud environment. Save time and cost managing disparate tools.

Read the 451 Research report

Automate AI lifecycle management

Improve data science productivity and expand the talent pool. Up-skill data scientists, analysts and developers with easy-to-use visualization and tooling.

See the brochure (PDF, 188 KB)

Govern and secure AI development

Unify cross-cloud data science and AI services. Get visibility, security and control across the model lifecycle. Bring notebooks to production fast. Avoid lock-ins.

Read the Aberdeen report

Improve your decisions with optimization technology

Drive better plans, schedules, and resource allocations using optimization models.

Build optimization models

Features

Manage the AI lifecycle with AutoAI

Analyze your data automatically and generate candidate model pipelines customized for your predictive models.

Discover AutoAI

Prepare, explore and refine data

Use the data refinery tool to cleanse and shape data with a graphical flow editor. Apply interactive templates to code operations, functions and logical operators.

Start data preparation

Bring your open source notebooks

Create a notebook file, use a sample notebook or bring your own notebook to IBM Watson Studio. Code and run a notebook.

Create Jupyter notebooks

Simplify modeling with SPSS Modeler

Prepare data quickly and develop models visually with IBM SPSS® Modeler in IBM Watson Studio.

Use drag-and-drop models

Run and train models

Build experiments quickly and enhance training by optimizing pipelines and identifying the right combination of data.

Code and run a notebook

Deploy and monitor models

Bring your models into production at scale. Evaluate the effectiveness of your model and use it to improve decisions.

Deploy a model

Client stories

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Wunderman Thompson Data

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

See the webinar

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JP Morgan Chase

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

Watch the video (01:37)

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Geisinger Health System

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

View the case study

Cloud Pak for data workflow

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.

→ Read the IDC report

Related products

IBM Watson Studio Premium

Empower your organization to optimize decisions, increase productivity through visual modeling and get more from your data investments.

Learn more

IBM Cloud Pak for Data

Collect, organize and analyze data with a multicloud data and AI platform. Create an analytics foundation for easier access to data. Scale insights on demand.

Learn more

IBM Watson Studio Desktop

Explore data and build models with a 2020 Edison award-winning design. Visually or programmatically prepare and build models from your desktop – anytime, anywhere.

Learn more

What’s new

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Explore multicloud ModelOps

Get our ModelOps newsletter, which includes research from Gartner. Learn how to get AI working in your operations faster.

Read the newsletter

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Synchronize AI and DevOps

Explore the key capabilities for AI-led development and why you should integrate AI models into development cycles in this Aberdeen study.

Read the research

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Use these five AI innovations

Learn how to increase data science automation to help you build and scale AI initiatives.

See the webinar (link resides outside IBM)

Find out more

  • Take advantage of machine learning and AI to analyze your data

  • Start for free

Contact an expert

Book a consultation with one of our experts.

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