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IBM Watson Studio

Accelerate the machine and deep learning workflows required to infuse AI into your business

IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.


Flexible Tools

Flexible platform allows you to access the broadest range of data science tools, from data prep to model development, for coders and non-coders.

Hybrid Environment

Multi-cloud environment allows you to bring your analytics to the data; on-prem, in IBM Cloud Private, or in the public cloud to achieve greater data access and agility.

Production Ready

Ability to deploy, evaluate and manage models with ease in a secure environment, so you can put data science into production faster.

Watson Studio details

Embedded Watson tools

Train Watson with embedded AI services, including Watson Visual Recognition and Natural Language Classifier. Customize your models and deploy them as APIs with Watson Machine Learning, or CoreML.

Built on open source

Use familiar open source data science and machine learning tools, with Jupyter Notebooks with Anaconda and RStudio. Access the most popular libraries or bring your own.

Intuitive visual modeling

No-code visual modeling with Neural Network Modeler for designing neural architectures using the most popular deep learning frameworks. Train models easily with SPSS.

Easier data preparation

Interactively discover, cleanse, and transform your data with Watson Knowledge Catalog. Understand the quality and distribution of your data with built-in charts and statistics.

Interactive dashboards

Explore data and share compelling visualized results through interactive dashboards created within a powerful drag-and-drop authoring environment.

Elastic compute options

Easily scale your compute resources and customize your package dependencies to create a custom and reproducible environment that can be shared across your organization.

Trust and transparency capabilities for AI on the IBM Cloud

Customer success stories

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