Experience AutoAI
Take a quick tour of IBM Watson® Studio and see why AutoAI is an award-winning feature.
IBM Watson Studio key features
Get started with faster data preparation and model building
Prepare and refine data anywhere, anytime
Get started with data science. Prepare, explore and refine data in Watson Studio Desktop.
Automate model building with AutoAI
Automatically build models, view a leaderboard, compare pipelines and deploy selected models with Watson Studio and Watson Machine Learning.
Predict a product purchase
Predict whether a customer is likely to buy a tent from an outdoor equipment store with AutoAI using Watson Studio and Watson Machine Learning.
Get more from your unstructured data
Turn email, support logs and other textual information into insight and prediction by using the powerful text analytics function in SPSS Modeler in Watson Studio Desktop.
Build a product recommendation engine
Use Jupyter Notebooks with IBM Watson Studio to build an interactive recommendation engine PixieApp and deploy it with Watson Machine Learning.
Use a Python notebook to deploy decision optimization
Deploy your decision optimization model with Watson Machine Learning, using a Jupyter notebook to access machine learning services and monitor jobs.
Watson Studio use cases
Get started with data science using AutoAI
Problem Solution AutoAI helps data scientists to rapidly develop candidate pipelines, select top performing models on the leaderboard and deploy models with Watson Machine Learning. This process makes model monitoring easier and faster, reducing the process to hours and minutes.

Get insights from your data
Create and test a visual recognition model.

Manage open-source notebooks as part of the AI lifecycle
Problem Solution With Watson Studio, you can bring your own open-source codes into an environment with the security, governance and scalability that your enterprise needs. Learn from Digital Technical Engagement webinars (link resides outside IBM) →
Deploy projects faster with an expanded talent pool
Problem Solution SPSS Modeler in Watson Studio is a visual data science tool that enables anyone to prepare data and build models, without coding experience. You can also use Watson Machine Learning when you are ready.


Get insights and build models with images and videos
Problem Solution IBM Watson Visual Recognition service analyzes images for scenes, objects and other content. IBM Watson Studio provides a collaborative environment in the cloud where you can work with your images and your visual recognition custom models.
Use predictive models to optimize your decisions
Problem Solution IBM offers an industry-focused approach to combine predictive and prescriptive models to optimize scheduling, resource allocations and supply and demand matching.


Build models for AI-powered apps with a data and AI platform
Problem Solution IBM Watson Studio Premium for IBM Cloud Pak™ for Data provides a seamless experience for people at any skill level to power your prediction and optimization needs. It helps you uniquely leverage data and AI across any cloud–public clouds, private clouds or any combination.
Try or buy now
Explore data science and machine learning capabilities with Watson Studio.