Siemens Enables Digitalization Data Analytics Artificial Intelligence Dr

Siemens Enables Digitalization: Data Analytics & Artificial Intelligence Dr. Mike Roshchin, CT RDA BAM Restricted © Siemens AG 2017 Data Analytics and Artificial Intelligence @CERN

"Data Analytics & AI" is a highly dynamic innovation area – significant invest needed to win the race in industrial AI Siemens footprint External dynamics Emerging battlefields for industrial companies • Major breakthroughs in Deep Learning since 2011 trigger huge expectations, also for industrial AI • Increasing investment deals in AI (VC/internal research/M&A) • Availability of Open Source tools, huge data collections and GPUs to accelerate global R&D • Siemens has a good starting position in the race for industrial AI, state-of-the-art use cases include: Engine for Industrial AI exploiting comprehensive data pools and knowledge graphs by machine learning & reasoning technologies Digital companion for every product, built on digitalized domain knowledge derived from experts insights and machine data • Mind. Sphere Advanced Analytics • Reinforcement Learning (e. g. , for gas turbine efficiency) • Image Recognition @Healthcare • Existing nucleus of data scientists and machine learning experts, and industrial use cases War for data talents from top-notch researcher in industrial machine learning to a standard need for data scientists Restricted © Siemens AG 2017 Page 2 Corporate Technology

Analytics @Mind. Sphere Consuming Analytics should be as easy as shopping Signal Specific Analytics Building Blocks API for time-series analysis of sensors API for anomaly detection in process Performance Trend Prediction API for performance analysis Statistics General Analytics Building Blocks Anomaly API for statistical functionalities Rules API for building rules API for predictive trending Clustering API for Clustering (e. g. K-Means) Event Analytics API for Sequence Pattern Mining KPI API for ISO KPI calculations Failure Modes API for various standard failure modes Regr. Analysis API for Regression Analysis (e. g. Linear) Classification API for Classification (e. g. NN or SVM) Restricted © Siemens AG 2017 Page 3 Corporate Technology

4 Technology Pillars for Out-of-box Data Analytics Tools Build up Siemens Data Analytics Tools 4 Technology Pillars Specific Industrial Analytics Algorithms Large-scale Performance Analytics Design Patterns / Architecture UI / User Experience Technology-driven Tools stack that is continuously built -up and fostered with every new use case Algorithmic modules Algorithmic services Sensor Processing Text Recognition Component Recognition Optimization Service Planning & Scheduling (incl. optimization) Image Processing MI Studio VPA Service Knowledge Graph Speech Recognition Chat Bot Deep Learning Service Natural Language Processing (NLP) Representation Learning Annotation Service Agent technologies Machine learning incl. Deep Learning Reinforcement Learning Reasoning/ Semantics Data labeling & Annotation Transfer learning Anomaly detection Pre-trained models Anomaly Detection Part Classifier Image Context Annotation Interpretable AI Context Object detection UI / UX Elements Backend / MI Training infrastructure Embedded MI computing Wearable computing/ Augmented reality GPUs, FPGAs, neural processors Speech recognition Face feature recognition Pump Ops Model Own SW development only where no viable market solution can be used Restricted © Siemens AG 2017 Page 4 Corporate Technology

Technology Field Business Analytics and Monitoring (BAM): Out-of-box Data Analytics Tools amount of digitalized knowledge A Health Check for CERN 4 Data-driven Methods & Machine Learning 3 Rule-based Analysis & Complex Event Processing 1 Basic & Dedicated Calculations 2 5 Deep Learning & Natural Language Processing System data Plant Part Physics-based Models Report Location Part Knowledge Graph OEM Digitalized expert knowledge Implicit expert knowledge Restricted © Siemens AG 2017 Page 5 degree of Artificial Intelligence B Corporate Technology

Contact page Dr. Mike Roshchin Program Lead for Data Analytics & Artificial Intelligence Solutions for Subject-Matter Experts CT RDA BAM siemens. com Restricted © Siemens AG 2017 Page 6 Corporate Technology