MindSphere Predictive Learning

Benefits Predict product perfor- companies can now utilize big data – • Predict sequences of events that lead to mance, schedule predictive including IoT data – to make proactive field failures and disrupt them before decisions that will increase actual product they occur maintenance and increase performance, perceived product perfor- operational efficiency • Schedule preventive maintenance mance and enhance the overall customer before equipment fails experience. Summary • Forecast field performance to improve MindSphere Predictive Learning allows Data Science Workbench product quality data scientists to build prediction models With the Predictive Learning Data Science • Raise customer satisfaction by suggest- through machine learning techniques, Workbench module, users have access to ing fixes to customers before which enable the Zeppelin notebook for authoring performance degrades companies to optimize product quality models. Managed instances of Zeppelin and reduce potential field failures and notebook are provided for exploration, Features performance issues. training and visualizing models. In addi- • Employ machine learning algorithms tion to using distributed instances of Understanding what happens next – and including Naive Bayes, random forest, machine learning / deep learning pack- when – empowers companies to make gradient boosting and support vector ages such as MLlib, Scikit-Learn and proactive decisions, schedule preventative machines TensorFlow, users can flexibly install maintenance, disrupt fatal sequences of and update open-source packages to • Rapidly build and execute predictive events and significantly reduce the utilize in their model development. models in Python, R and Spark volume and severity of potential issues. There are options to configure and select • Prepackaged deep learning offerings With MindSphere Predictive Learning, what compute power is needed so users and flexible open-source package instal- can easily explore and build models lation in Data Science Workbench on big data. • Out-of-the- functions enable users to quickly explore, transform and analyze big data

siemens.com/mindsphere MINDSPHERE MindSphere Predictive Learning

MindSphere MindSphere is the -based, open IoT operating system from Siemens that connects real things to the digital world, and enables powerful industry applica- tions and digital services to drive business success. MindSphere’s open Platform (PaaS) enables a rich partner ecosystem to develop and deliver new applications.

Workspace Out-of-the-box functions equipment downtime. Companies can The Predictive Learning Workspace Out-of- then drive up operational efficiencies and the-box functions enable users to quickly drive down costs. explore, transform and analyze big data without the need for any additional Proactively push fixes scripting. This enables users to create new Combining predictive technology with IoT, datasets that can be applied in another service, field and other customer data workspace or in the notebook, which streams enables companies to create a helps domain experts and data scientists deeper impact on the customer experi- to collaborate more efficiently. ence. Leveraging as-used data to identify patterns and sequences of events enables Schedule preventive maintenance companies to engage with customers Identify precursors for poor performance, before problems arise and to resolve such as sudden spikes within a normal potential issues. Companies can proac- operating range and specific test results, tively identify problems and push fixes and correlate them with equipment (parts, software, hardware or firmware) to maintenance records to predict which eliminate possible points of failure or equipment may suddenly require degraded performance that end-users unscheduled maintenance or downtime. could experience – ultimately increasing Identifying patterns within normal opera- customer satisfaction and improving net tions that may otherwise go unnoticed promoter scores. enables companies to schedule preventive Siemens MindSphere Predictive Learning comes in maintenance and avoid unscheduled siemens.com/mindsphere three plan options to help companies maximize their predictive capabilities. Americas +1 314 264 8499 Europe +44 (0) 1276 413200 MindSphere Predictive Learning Small Medium Large Asia-Pacific +852 2230 3333 Compute hours 7,500 20,000 30,000 Data storage (in TB) 5 10 15 User 2 5 10 Modules Restricted © Siemens 2019. Siemens, the Siemens logo, MindSphere, MindAccess, MindConnect, MindApps and Data Science Workbench ✓ ✓ ✓ MindServices are trademarks or registered trandmarks of Siemens AG. All other trademarks, registered trademarks or Workspace – Out-of-the-box functions ✓ ✓ service marks belong to their respective holders. 61397-C12 6/19 A