Predictive Learning allows data scientists to build prediction models through machine learning techniques, enabling companies to optimize product quality, which reduces potential field failures and performance issues. Predictive Learning enables companies to increase actual product performance, perceived product performance, and the overall customer experience.

Predictive Learning features:

• Data Science Workbench: Managed instances of Zeppelin notebook are provided for exploration, training and visualizing models. Prepackaged deep learning offerings such as Tensorflow, Keras and Theano and distributed machine learning packages such as MLlib
• Workspace Out-of-the-box functions: Enables users to quickly explore, transform and analyze big data without the need for any additional scripting
• Rapidly build and execute predictive models