Data scientists, data analysts, and engineers can easily collaborate in one workspace to explore, model, predict, and deliver results more efficiently.
Explore & Learn
Use Jupyter notebooks with Python, R, and Scala. Code or use drag & drop tools. Master R with a free, open-source RStudio tool. Learn from our rich community, tutorials and industry experts.
Model & 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 & 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 & Measure
Measure the performance and results of your models with built in performance monitoring. Demonstrate your impact and results with ease.
IBM's 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.
An on-premise 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.