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Featured resources Get started

See the steps for signing up and starting to work with IBM Cloud Pak® for Data as a Service.


View the documentation specific to using IBM Watson® Studio on IBM Cloud Pak for Data as a Service.

Documentation videos

Check out these visual representations of the written documentation.


Analyst reports

The Forrester Wave on PAML

Deep dive into how IBM is named a leader in The Forrester Wave™: Multimodal Predictive Analytics and Machine Learning (PAML), Q3 2020.

Create your checklist

IDC MarketScape

See why IBM is positioned as a Leader in the IDC 2020 MarketScape for Worldwide Advanced Machine Learning Software Platforms.

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Gartner newsletter on ModelOps

Access your complimentary executive newsletter featuring two Gartner research reports.

Get two reports

Forrester TEI on explainable AI

See the benefits of model monitoring in New Technology: The Projected Total Economic Impact™ of Explainable AI and Model Monitoring in IBM Cloud Pak for Data.

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ESG technical validation

See the results of how IBM Watson Studio on IBM Cloud Pak for Data helps you automate AI lifecycles.

Read the report

451 Research infographic

Check out the infographic: ModelOps and Intelligent Automation as Enablers of Transformational Change.


451 Research brief

Explore the value of building ModelOps with intelligent automation for cloud-native apps in this 451 Research brief.

Read the brief

Forrester AI 2.0

Learn how to upgrade your enterprise with five next-generation AI advances.

Read the report


Spring 2021: Data science and AI webinar series

Learn what’s next in AI and how to benefit from the latest innovations by watching this 5-part series.

See the topics

Winter 2020: Data science and AI webinar series

Explore the path forward on scaling AI and data science by watching this 5-part series.

See the topics

Forrester: AI factory and DevOps for AI

Discover methods and best practices for testing and delivery of AI models using a factory approach.


IBM Innovation Preview on AI and lifecycle automation

Learn about scaling AI engineering and ModelOps to realize the full potential of AI investments.


Forrester: Top 10 AI and technology trends

Hear two leading analysts on macro dynamics, IT investment, AI best practices and emerging tech in 2022.


White papers, solution briefs and infographics

The data and AI platform buyer’s guide

Get your questions answered as you consider the right data and AI platform to accelerate digital transformation and achieve successful ROI.

Download the guide

IBM Cloud Pak for Data solution brief

Get an overview of the IBM Cloud Pak® for Data platform, where you can implement Watson Studio across multiple clouds.

Read the brief

Watson Studio solution brief

Get an overview of how this product helps data scientists and business analysts build, train and manage models and deliver AI-powered applications.

Read the brief

Simplify managing model risk

Discover 5 ways to simplify AI model risk management.

View infographic

AI governance

Get up to speed on what AI governance is and why it matters.

Download the ebook

IBM Research on bias mitigation

Follow this framework to learn how to maintain model fairness.

Download the paper

Communities and documentation

Watson Studio community

Learn and engage with others using Watson Studio for AI projects.


Stack Overflow

Get answers to common questions about the product.

Search for answers

Github repository

Find demos, tutorials, sample apps and more for data science with IBM.

See the resources

Get started documentation

See more of what you can do with Watson Studio on IBM Cloud Pak for Data as a Service, including videos for key tasks.

View documentation

Open source frameworks

Train and deploy machine learning models using popular tools, libraries and frameworks.

See supported frameworks

Product tours and tutorials

IBM Machine Learning Accelerator

Get started with this end-to-end deep learning platform by learning about its features.

Start the tutorial

Creating SPSS modeler flows

Learn how to graphically build and evaluate machine learning models using the IBM® SPSS® Modeler flow feature.

Start the tutorial

Modeler flows product tour

Create an SPSS machine learning model that evaluates customer churn risk and scores records.

Try the product tour

Demo videos

Neural network modeler tool

See how quickly a model can be built using this tool for deep learning experiments.

Watch (03:05)

Model deployment

Learn how to build and prototype models, monitor deployments and retrain models on new data.

Watch (02:49)

Decision optimization modeling

See how to use a modeling assistant to build a decision optimization model for supply demand planning.

Watch (07:06)

Training and certification

Learning journey

Explore demos, e-learning courses and badge quizzes to build foundational knowledge and validate skills.

Start learning

How-to videos

See how to increase productivity working in a single environment with leading open source and IBM software.

Watch the videos

Watson Studio Basics

Learn more in this video, which is part of the Solution Architect, IBM Cloud Pak for Data product certification.

See the training

ML rapid prototyping course

Learn how to create an automated pipeline in this course, Machine Learning Rapid Prototyping with IBM Watson Studio.

View the course

How-to documentation for popular tasks

Refine data

Use the Data Refinery within IBM Cloud Pak for Data to clean and shape tabular data with a graphical flow editor.

See documentation

Create Jupyter notebooks

See how to create a notebook file, use a sample notebook, or bring your own notebook to Watson Studio on IBM Cloud Pak for Data.

See documentation

Code and run a notebook

Find the steps and videos showing how to code and run an open source notebook.

See documentation

Build models visually

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

See documentation

Get started with AutoAI

Learn about this no-code approach to building and deploying a machine learning model.

See documentation

Use decision optimization

Learn about using IBM’s industry-leading decision optimization solutions within Watson Studio.

See documentation

Prepare models for monitoring

See how to use IBM Watson® OpenScale™ to track and monitor models for quality, fairness and drift metrics.

See documentation

Manage model risk

Learn about using the model risk management solution to compare and evaluate models.

See documentation


Why choose IBM Watson® Studio?

The IBM Watson Studio platform helps a business build and scale trusted AI on any cloud. The latest Gartner Magic Quadrant for Data Science and Machine Learning Platforms has just been released, and IBM is delighted to be recognized as a Leader in the space. Gartner acknowledges that IBM Watson Studio on IBM Cloud Pak® for Data “delivers a modern and comprehensive solution” for organizations seeking to run and manage AI models more efficiently, simplify their AI lifecycle management, and empower their data scientists with technology that can help optimize their data-driven decision-making.

Read the analyst report
What is Watson Studio?

Watson Studio is one of the core services of IBM Cloud Pak for Data, a multicloud data and AI platform. Together with IBM Watson® Machine Learning and IBM Watson® OpenScale™, Watson Studio provides tools for data scientists, application developers and subject matter experts to collaborate and easily work with data to build, run and manage models at scale.

Read the documentation
Is Watson Studio now only available on IBM Cloud Pak for Data? What are my deployment options?

Watson Studio is a service on IBM Cloud Pak for Data. You can deploy IBM Cloud Pak for Data in your private clouds (inside the firewalls), hybrid clouds, Amazon Web Services (AWS), Microsoft Azure and Google Cloud.  You can also use Watson Studio on IBM Cloud Pak® for Data as a Service, which is fully managed on IBM Cloud®. Or, through integration with IBM Cloud® Satellite™, you can also run data and AI services across on-premises, edge computing and public cloud environments from any cloud vendor. You can also deploy Watson Studio on IBM Cloud Pak® for Data System, a preconfigured on-premises platform-in-a-box.

Is there a free trial?

Yes. Watson Studio offers a no-cost trial through the Lite plan. You'll be able to use the Lite plan for as long as you want, subject to monthly usage limits that refresh every month.

Try Watson Studio at no cost
What happened to IBM SPSS Modeler Subscription?

IBM SPSS Modeler Subscription has been renamed to IBM Watson® Studio Desktop Subscription.  However, Watson Studio Desktop subscribers are able to download a stand-alone version of SPSS Modeler Premium at no additional charge.

Is IBM Decision Optimization software available as part of Watson Studio?

Yes, IBM Decision Optimization is available with IBM Watson Studio for IBM Cloud Pak for Data.

Try it on cloud
What do I do if I can’t log in? It says my trial expired, but I never used this before.

IBM Watson applications are powered by IBM Cloud, and if you previously used an IBM Cloud account, that account is now expired. To continue your trial, you must obtain a code by contacting IBM through the Let’s talk button available in the lower right corner of this web page.

How do I load very large files to my project?

You can't load data files larger than 5 GB to your project from the Watson Studio application. If your files are larger, you must use the IBM Cloud® Object Storage API and load the data in multiple parts. See the curl commands for working with IBM Cloud Object Storage directly on IBM Cloud.

Read the documentation
Where can I submit my feedback regarding Watson Studio?

IBM welcomes any feedback, requests and suggestions you have for improving Watson Studio. Visit the forum, which can connect your product improvement ideas with IBM product and engineering teams.

Join the forum
Is there a support website for Watson Studio?

Yes, find the appropriate version of the software and submit a ticket.

Visit IBM Support
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Predict and optimize outcomes with AI and machine learning models.

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