Data scientists, data analysts, engineers and knowledge workers can easily collaborate in one workspace to explore, model, predict and deliver results more efficiently.
Webinar: Unleash the power of text analytics on your dark data
See how you can use text data to achieve new outcomes for your organization. Help your data science teams discover insight from document collections more productively. This webinar includes a demo of the IBM Watson® Explorer for Data Science Experience.
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 and optimize models using the top open-source tools (Scikit-learn, XGBoost, Spark MLlib, TensorFlow, Caffe, Keras and MXNet) alongside the 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 it on your own clusters using the same open-source tools you love. Collaborate more easily for faster, better results.
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.
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 repots to confirm that teams are following best practices, helping maintain high healthcare standards.