Industrial Dr. Stefan Bungart

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1 Industrial Dr. Stefan Bungart

2 The vision is clear The real opportunity for change surpassing the magnitude of the consumer Internet is the Industrial Internet, an open, global network that connects people,, and machines. Jeff Immelt, GE Chairman & CEO 2

3 Forces shaping the Industrial Internet 1 Internet of things Intelligent 2 machines 3 Big 4 Analytics A living network of machines,, and people Increasing system intelligence through embedded software Transforming massive volumes of information into intelligence Generating -driven insights and enhancing asset performance 3

4 Industrial Internet: Picture business value Here Efficiency and cost savings New customer services Risk avoidance The ability to model and understand the physical world makes it easier to optimize assets and processes and the insights it provides will enable new customer services and business models Increased visibility and control help address environmental, health, and human safety issues 4

5 The value to customers is huge Connected machines could eliminate up to $150 billion in waste across industries Industry Segment Estimated value over 15 years Type of savings (Billion nominal US dollars) Aviation Commercial 1% fuel savings $30B Healthcare System-wide 1% reduction in system inefficiency $63B Rail Freight 1% reduction in system inefficiency $27B Power Gas-fired generation 1% fuel savings $66B Oil and Gas Exploration and development 1% reduction in capital expenditures $90B Note: Illustrative examples based on potential one percent savings applied across specific global industry sectors. Source: GE estimates 5 GE Confidential #IndustrialInternet

6 Big More Information - More Innovation Max. twitter usage in 2013 (ca. 500 Mio. tweets/day) 130 GB/Day* Monitoring a gas turbine (200+ sensors) 588 GB/Day Key: Generating actionable insight from Big securely in real-time at every level from local to global and at industrial scale * Quelle: wewillraakyou.com / average 280 byte/tweet (140 letters at 2 byte) 6

7 Analytic requirements of industrial companies FREQUENCY OF ANALYTIC Minutes+ 1,000,000 s + Enterprise + Exogenous Micro Cloud Agnostic Cloud Everything in-between Modular and extensible Seconds 1,000 s Control systems Interaction Orchestration Decision support Milliseconds 100 s Machine Analytics Cloud collection and aggregation LOCATION OF ANALYTIC Wind Mining Aviation Rail Machine Turbine Grinding circuit Engine Plant Wind farm Mine site Aircraft Locomotive Enterprise Distribution center Mining company Airline Railroad ENTERPRISE DATA Supply chain, finance, etc. INDUSTRIAL DATA Asset & process EXOGENOUS DATA Market, weather, etc. 7

8 Industrial Big fast and vast 50B Machines will be connected on the internet by X Industrial growth within next 10 years Sensor Historian CRM, ERP, etc. Geo-location Content (images, videos, manuals, etc.) Machine Logs Social network 35GB per day from each Smart Meter 50X growth in healthcare ( ) 1TB per flight In practice only 3% of potentially useful is tagged and even less is analyzed* 9MM points per hour for each locomotive 500GB per blade by gas turbines *Source: IDC *Source: IDC 8

9 Today s approaches are not prepared for onslaught of Industrial Big Too slow Too expensive Too rigid 80% of an analytics project typically involves gathering and then preparing the for analysis* *Source: IDC 9

10 A day in the life management scientist Current situation Field operations Business analyst Analytics and operations scientist New way Field operations Business analyst Add semantic meta Replica of source governance INDUSTRIAL DATA LAKE Add semantic meta Replica of source loading ingestion Real-time ingestion CRM, ERP, etc. Logs Social network Geo-location collection CRM, ERP, etc. Logs, click Social network streams Geolocation Sensor Content (images, videos, manuals, etc.) Machine Historian Time to analyze Cost scientist Field operations Business analyst Agility scientist Field operations Business analyst Time Cost INDUSTRIAL DATA LAKE collection ingestion Analytics and governance operations collection ingestion Analytics and governance operations Rigid Agile 10

11 Industrial Lake Sensor Content (images, videos, manuals, etc.) Business analyst scientist Field operations Historian Machine CRM, ERP, etc. Geo-location Logs Social network Industrial Lake Fast ingestion, storage and compute High performance analysis governance and federation Optimized for mission-critical workloads 11

12 Case study GE Aviation Asset productivity, minimize disruptions, improved forecasting 25 Airlines 3.4M Flights 340TB 2000X Performance improvement 10X Cost reduction 7 days Time-to-market for new analytic app ü Isolate root causes ü Identify sub-optimal performance parts ü Minimize disruptions 12

13 Many industries, many solutions one platform 13 Predictivity GE Aviation GE Healthcare GE Rail GE Oil & Gas GE Power Generation GE Power Distribution GE Manufacturing GE Water GE Mining GE Wind GE Predictivity solutions Predix platform Solutions for industrial asset and operation optimization Common architecture for machine, network, server and UX

14 GE Predictivity solutions GE Aviation GE Power Distribution GE Healthcare GE Power Generation Asset management, patient safety, patience flow, collaboration across networks Turbine power flexibility and performance, maximizing asset lifetime GE Manufacturing GE Wind GE Mining GE Water GE Oil & Gas GE Rail Fuel performance, risk insight, navigation insight and fight synchronization Manufacturing process, food safety assurance Concentrator insights and efficiency maximum mine production Total equipment reliability, sub-sea inspection system optimization, field production and pipeline insights 14 Predictivity Grid delivery optimization advanced meter insights Wind turbine performance, total wind farm output maximized Connected controls for plant operations to increase efficiencies and reliability Locomotive Uptime, trip insights, maintenance and parts management

15 Shared capabilities portfolio Services Advanced Research Architecture Development Science Developing and deploying scalable predictive solutions to enable Industrial Internet programs Defining new business and delivery models for software and services Developing applications and solutions around asset optimization and operations optimization Transforming raw into insights and opportunities, through descriptive, predictive, and prescriptive analytics Commercial strategy Cyber Security Cloud Services User Experience Optimizing the software portfolio to maximize market success Focusing on security management strategies to prevent, detect, and fix risks to GE s, assets, and intellectual property Providing a unified, service-based solution on a protected, fullyautomated network Driving revenue and growth by increasing adoption and demand 15

16 GE Software s evolving ecosystem Ecosystem We collaborate to extend the reach of our Industrial Internet solutions Guiding principles Develop distinctive technologies Pursue new markets Work with the best Share risk and reward GE is a founding member of the IIC 16

17 Connect with youtube.com/ gesoftware linkedin.com/ company/ge-software GESoftware.com 17

18 THANK YOU

19 Example Use Case Taleris Objectives Help airlines maximize aircraft utilization Minimize the impact of maintenance Go from diagnostics to root cause analysis Results Advanced prognostic algorithm allows airlines to detect issues before they cause downtime/expense Monitors 10,000 independent parameters, transmits wirelessly Integrates with airline s enterprise systems Platform-agnostic solution can be installed on any make/model, providing continuity among entire fleet Asset Management + Analytics + Experience 19 GE Confidential

20 Example Use Case Field force automation Predix FFI application examples Locate, monitor, configure, maintain and assess machine (on site or off site) Get machine info: warranty, operational status, history, manuals Facilitate collaboration among support personnel Manage work preparation, crew mark-up and material allocation Create/collect work orders from ERP (Enterprise Resource Planning), OMS (Operations Management Software) and CIS (Customer Information Systems) Right field worker. Right skills/parts. Right location. Right time. Machine + Experience 20 GE Confidential

21 Example Use Case Rail optimization The GE RailConnect Transportation Management System and Movement Planner System help railroads analyze critical information in real time. Customer estimate: every 1-mph increase in rail network speed saves $200M in annual capital and operating expenses Asset Management + Analytics + Experience 21 GE Confidential

22 Example Use Case Power Grid Digital Energy The Digital Industries team marshaled new technologies to enhance the operator effectiveness in running a stateof the-art combined cycle plant. This gives engineers a visual overview of the power grid so they can identify where problems are most likely to occur and take action to prevent them, compiling the latest UX research from Power, Aviation, and Consumer Electronics. Experience 22 GE Confidential

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