IBM Watson Machine Learning

IBM Watson Studio

IBM Watson Studio provides tools to work more easily and collaboratively with data to build and train models at scale. It gives you the flexibility to build models where your data resides and to deploy anywhere in a hybrid environment so you can operationalize data faster.

IBM Watson Visual Recognition

IBM Watson Visual Recognition uses deep learning algorithms to analyze videos and images for scenes, objects and faces with Watson APIs. It helps accelerate time to results using pretrained models with visual content.

IBM Cloud Pak for Data

IBM Cloud Pak™ for Data helps you collect, organize and analyze data with a multicloud platform. It creates a trusted analytics foundation that makes data easier to access and enables you to scale insights on demand with AI.

IBM Decision Optimization

IBM Decision Optimization provides tools that use mathematical and computational sciences to help data scientists optimize machine-learning decisions. Decision optimization models can now be more easily deployed as a service inside Watson Machine Learning.

IBM Watson Openscale

IBM Watson Openscale tracks and measures outcomes from AI across its lifecycle and adapts and governs AI to changing business situations — for models built and running anywhere.

Deep learning

The deep learning service within IBM Watson Studio helps data scientists visually design neural networks and scale out training runs while paying only for the resources utilized.

IBM SPSS Modeler

IBM SPSS Modeler empowers an enterprise to use drag-and-drop data science to accelerate time to value for production-scale models.

IBM Watson Studio Desktop

Watson Studio Desktop helps anyone get started with model building and deployment from the desktop — anytime, anywhere.

Watson Machine Learning Accelerator

Watson Machine Learning extends machine learning and deep learning model deployment in a multitenant, distributed environment.