Harness the power of AI at scale with IBM Watson Studio

Organizations are now tapping data science and artificial intelligence (AI) as a technology-enabled business strategy. Experimentation is accelerating across multiple clouds. The need for speeding through data preparation and exploration, modeling and training has never been higher. To succeed in enterprise AI, a business must:

  • Bring your algorithms to wherever data resides.
  • Increase productivity of data scientists, analysts, developers and subject matter experts.
  • Operationalize the data science lifecycle from insight to prediction and optimization.

Together with IBM Watson Machine Learning, IBM Watson® Studio is aleading data science and machine-learning offering built from the ground up for an AI-powered business. It helps enterprises simplify the process of experimentation to deployment, speed data exploration and model development and training, and scale data science operations across the lifecycle. IBM Watson Studio empowers organizations to tap into data assets and inject predictions into business processes and modern applications and then optimize business value with visual data science and decision optimization. It's suited for hybrid multicloud environments that demand mission-critical performance, security and governance — in public clouds, in private clouds, on premises and on the desktop, including IBM Cloud Pak™ for Data.

Watson Studio works well with Visual Recognition

Visual Recognition in Watson Studio

Work with your images and custom models.

Speed image model creation in Watson Studio

Create and test a visual recognition model.

Visual recognition with machine learning

Tag, classify and train visual
Deployment options

Watson Studio Cloud

Quickly get started and train your models on the IBM public cloud.

Watson Studio Desktop

Prepare data and build models on your desktop with visual drag-and-drop tools.

Watson Studio Local

Train models behind your own firewall or on the IBM private cloud..

What’s new with Watson Studio

Analyst report: Enterprise Strategy Group (ESG) technical validation

Learn how IBM Watson Studio and Watson Machine Learning can help transform business processes and modernize operations with AI initiatives

Analyst report: Forrester Research

Understand how to optimize customer experience metrics with 12 AI-enabled use cases laid out by Forrester

Webinar: Change your AI Game: AI-Powered Customer Experience (CX) on Watson Studio

Explore key use cases for AI-powered customer growth, why they are important, and how to put them into production to drive value fast

Watson Studio features


Automate data preparation, feature engineering, hyper parameter optimization and ensembling to select and deploy the best models with a single click.

Collaborative data science

Use an open source tool like Jupyter Notebook, combined with collaborative project features, like programmatic access and version control, to fine-tune your parameters until you find your ideal model for production.

Enhanced visual modeling

Explore data and use machine learning with drag-and-drop tooling from IBM SPSS® Modeler — a new look for the classic tool.

Automated deep learning

Visually program for deep learning with an intuitive drag-and-drop, no-code interface in Neural Network Modeler.

Analyst rankings

Forrester ranks Watson Studio as the leader in predictive analytics and machine learning.