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Collaborate with ease

Data scientists, data analysts, engineers and knowledge workers can easily collaborate in one workspace to explore, analyze, model, predict, and deliver results more efficiently.

Webinar: Getting started with the new IBM Watson Explorer

Introducing the new IBM Watson® Explorer which brings data together from across the enterprise to deliver cognitive insights. Attend a demonstration of the new machine-learning features and user experience. Learn how Watson Explorer makes it easy to quickly build cognitive solutions.



Explore and learn

Use Jupyter notebooks with Python, R and Scala. Code or use drag-and-drop tools. Master R with a free, open-source RStudio tool. Explore and analyze with Watson Explorer. Learn from IBM's rich community, tutorials and industry experts.


Model and Evaluate

Build & optimize models using the top Open Source tools (Scikit-learn, XGBoost, Spark MLlib, TensorFlow, Caffe, Keras, MXNet) alongside our IBM Watson Machine Learning engine.


Deploy and predict

Develop and deploy where you want, whether you need to develop behind the firewall or in the cloud. Deploy on your private cloud or IBM's public cloud.  Scale on demand with Apache Spark.


Monitor and measure

Measure the performance and results of your models with built in performance monitoring. Demonstrate your impact and results with ease.

IBM Data Science Experience

A leading Data Science Platform ranked by Gartner

Bring IBM Data Science Experience to your private cloud. Secure your models, data, and results on your own servers and customize the experience for your company. Run on your own clusters using the same open source tools you love.  Data scientists, data analysts, and engineers can easily collaborate in one workspace to explore, model, predict, and deliver results more efficiently. 


IBM Data Science Experience on premises or on the cloud

An on-premises, private or public cloud solution that provides a collaborative machine learning platform for teams to explore, model and deploy data solutions, using the top open-source tools.

IBM Machine Learning for z/OS

An on-premises machine-learning solution that extracts hidden value from enterprise data. Quickly ingest and transform data to create, deploy and manage high-accuracy self-learning models, using IBM z Systems® data.

IBM SPSS® Modeler

A graphical analytics platform for users of all skill levels to deploy insights at scale with a wide range of algorithms and capabilities, such as text analytics, geospatial analysis and optimization.

IBM Watson Explorer

Artificial intelligence-powered content analytics and cognitive search platform that provides users access to actionable insights from all the data and helps achieve better business outcomes.


Ahus gains new insights with Watson Explorer to deliver high-quality health

Akershus University Hospital (Ahus) is using Watson Explorer together with partner Capgemini to analyze thousands of radiology reports to confirm that teams are following best practices, helping maintain high healthcare standards.

Real-time content analytics helps call centers serve customers effectively

The real-time natural language processing capabilities of Watson Explorer help the Japanese bank drive customer interactions effectively and reduce customer handling time.