Overview
Code-optional analytics on your desktop
IBM Watson®Studio Desktop is a desktop client solution that employs artificial intelligence and user-friendly tools to empower and streamline your data analytics.
- Prepare data and build models on your desktop
- Uncover insights from unstructured data
- Visualize your data in dozens of exportable chart types
Watch these videos to learn more:
Data Preparation in IBM Watson Studio Desktop (06:00) →
Data Visualization in IBM Watson Studio Desktop (02:56) →
IBM Watson Studio Desktop: Bring the future with you (02:54)
Use cases
Getting started with data science
Getting started with data science
When cloud isn’t an option
When cloud isn’t an option
Keeping data under control
Keeping data under control
Cutting IT support costs
Cutting IT support costs
Benefits
Automate for efficiency
Uncover new insights
Get up and running faster
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Features
Drag-and-drop analytics and AI
Data preparation
Harness the power of IBM Data Refinery to explore, prepare and refine data. Use intuitive tools to identify and remediate problems prior to modeling.
Text analytics
Leverage built-in, industry-leading dictionaries and a simple UI to explore data sources like emails, reports and web pages with text analytics.
Model development
Use the embedded IBM SPSS® Modeler canvas to build models using a simple intuitive interface that's easy for both IT and business users to navigate.
Model deployment
Use IBM Watson Machine Learning Server (sold separately) to quickly and more securely deploy models in applications throughout your business.
Support for many data sources
Get a complete view of your business by analyzing data no matter where it lives — in flat files, spreadsheets or major relational databases.
Data visualization
Build sophisticated visualizations and easily export them to others. Explore data sets with live charting and a large variety of charts and graphs.
Notebooks
Interactive notebooks contain data, code and visualization side by side, so teams can easily explore data sets, run experiments and confirm results.
Project management
Create and manage projects for offline use and online collaboration. Combine your data sets with organizational assets while maintaining compliance.
Machine learning methods and algorithms
Apply decision trees, neural networks, regression models and a host of modeling methods taken from machine learning, AI and statistics.
What’s new
IBM Watson Studio Desktop 2.0
Gartner Peer Insights Customers' Choice
2020 Edison Award winner
Try IBM Watson Studio Desktop for free.
Resources
IBM Watson Studio Desktop vs. spreadsheets
Marketing campaign scoring
Product documentation
IBM Watson Studio
IBM SPSS Modeler
IBM Watson Machine Learning
Next steps
Experience faster, easier data analytics.