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New Terms of Use
The Subscription Term will automatically renew for successive Subscription Terms unless either party notifies the other at least 60 days prior to the end of the then-current Subscription Term that it has elected not to renew. Any renewed Subscription Term will be the same length as the preceding term or 12 months, whichever is greater. The fees for any renewed Subscription Term will be the same as those in effect at the end of the preceding Subscription Term, unless Siemens notifies Customer about different future fees at least 90 days prior to the end of the then-current Subscription Term.
The UCA (or any successor terms) available at Universal Customer Agreement (UCA) in the version that is current 60 days prior to the end of the then-current Subscription Term will apply for the following Subscription Term. However, if your subscription is governed by a master agreement that you have executed with Siemens, then that master agreement will continue to apply for any following Subscription Term, and auto-renewal terms for the subscription specified in that master agreement will prevail.
In all cases, instead of any previous versions of Supplemental Terms, the applicable Supplemental Terms available at Supplemental Terms in the version that is current 60 days prior to the end of the then-current Subscription Term will apply for the following Subscription Term.
Additional terms and conditions agreed upon in the initial order form (including product-specific terms), as well as agreed payment terms, will remain in effect for any following Subscription Term.
Predictive Learning - E
Provided by SIEMENS
Predict future product performance through machine learning techniques
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
Offering Overview
| Predictive Learning | Small | Medium | Large |
|---|---|---|---|
| Pricing | Contact Us | Contact Us | |
| Compute Hours | 7,500 | 20,000 | 30,000 |
| Data Storage | 5 TB | 10 TB | 15 TB |
| No. of Users | 2 | 5 | 10 |
| Data Science Workbench | ? | ? | ? |
| Workspace out-of-the-box functions | ? | ? |