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Internet of things -- for business!

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Presentation from the UK itelligence user conference 2015, on making the internet of things for business real (using SAP technology)

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Internet of things -- for business!

  1. 1. 1 Making The Internet of Things for Business Real Timo Elliott Innovation Evangelist @timoelliott
  2. 2. Internet of content Internet of people Internet of things Internet of Things is connecting information, people, and things
  3. 3. 3 Simple Sensors + Powerful Algorithms = Business Innovation
  4. 4. Since 2008, the number of things connected to the Internet has exceed the number of people on earth Internet of Things 2003 2010 2015 * Berg Insights (2011) By 2020 there will be 50 billion* Definition: The output of sensors and devices used to measure and record the events and situations in the physical world is e-generated data. As sensors proliferate and data volumes grow, traditional technology cannot handle volume, type and speed – hence the need for SAP HANA.
  5. 5. 5 IoT is relevant to all of us THE INTERNET OF THINGS Healthcare & Life Science Transportation Industrial Consumer & Home Energy Buildings IT & Networks Security/ Public Safety Retail Tracking Human, Animal, Postal, Food / Health, Packaging, Baggage Jeeps, Cars, Ambulances Breakdown, Lone Worker Tanks, Fighter Jets Battlefield Comms Homeland Security, Fire Environ, Monitor, etc. POS Terminals Tags Cash Registers Vending Machines Signs, etc. Servers Storage PCs, Routers Switches PBXs, etc. Vehicles, Lights, Ships Planes, Signage Tolls, etc. Assembly / Packaging, Vessels / Tanks, etc.Motors, Drives, Converting Fabrication Pumps, Valves, Vats, Conveyors, Pipelines MRI, PDAs Implants, Surgical Equipment Pumps, Motors Telemedicine, etc. Digital Cameras Power Systems, MD Dishwashers eReaders Desktop Computers Washers / Dryers Meters, Lights, TVs, MP3 Game Consoles, Lighting Alarms, etc. Turbines Windmills UPS Batteries Generators Meters, Drills Fuel Cells, etc. Alternative Solar, Wind, Co-Generation, Electrochemical HVAC Transport Fire & Safety Lighting Security Access, etc. Beecham Research
  6. 6. 6 “Bad news — the scale is threatening to cut off our access to the fridge…’
  7. 7. IoT Stands For…. The Internet of Toilets?!
  8. 8. 8
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  10. 10. 10
  11. 11. 11
  12. 12. © 2014 SAP AG. All rights reserved. 12 Falls account for half of all hospital admissions over 65: $54.9 billion by 2020 [
  13. 13. © 2014 SAP AG. All rights reserved. 13 Marker based motion capture Force platform Pressure sensitive walkways Mean faller identification accuracy >80% 0 2 4 6 8 10 -200 Time [s] 0 2 4 6 8 10 -200 0 200 Time [s] AngularVelocity[Deg/s] Angular Velocity Heel Strike Toe Off
  14. 14. 14 They just had to exist, right?
  15. 15. 16
  16. 16. 17
  17. 17. Drones
  18. 18. Connected Cars
  19. 19. 21
  20. 20. 22
  21. 21. Customer 365
  22. 22. © 2014 SAP AG. All rights reserved. 24 SMART VENDING
  23. 23. © 2014 SAP AG. All rights reserved. 25 Smart Vending
  24. 24. © 2014 SAP AG. All rights reserved. 26 Smart Vending Real-Time Executive Monitoring
  25. 25. © 2014 SAP AG. All rights reserved. 27 Track And Trace Luggage
  26. 26. © 2014 SAP AG. All rights reserved. 28
  27. 27. Sharks on Twitter!
  28. 28. Sensors Enable New Processes and Applications Weissbeerger Beverage Analytics
  29. 29. Transport For London
  30. 30. Networked Crane Safety
  31. 31. 34© 2015 SAP SE or an SAP affiliate company. All rights reserved. Predictive Maintenance Kaeser Compressor, a global leader in air compressors ≈€500 million, 4,800 employees, 50 countries, partners in additional 60 countries
  32. 32. Modeling Example E.g. Total energy consumption • Aggregation of 10 sec values • Calculation of typical consumption patterns • Pattern associated with each compressor and day Repeat for temperature, pressure, vibration, etc.
  33. 33. Predictive Examples Model combines sensor readings and ERP data (location, type of usage, last service, etc.) • Status alerts: “Oil change / oil analyze / no action” • Predict machine failure 24 hours in advance
  34. 34. High-Level Technical View Predictive Model (in-memory) Long-term disk storage User Interfaces CRM ERP Event Stream Processing all sampled Customer Field Svs Sales R&D DW
  35. 35. Benefits Customers • Less downtime • Decreased time to resolution • Optimal longevity and performance Kaeser • More efficient use of spare parts, etc • New sales opportunities • Better product development “We are seeing improved uptime of equipment, decreased time to resolution, reduced operational risks and accelerated innovation cycles. Most importantly, we have been able to align our products and services more closely with our customers’ needs.”• Kaeser CIO Falko Lameter Next Steps: New Business Models
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  38. 38. Dealer Sales Service Service Owner/Operator Fleet Driver/ Operator OEM R&D WarrantyProcurement Manufacturing SAP Co-Innovation Projects Predictive Quality Assurance (Production) Machine Health Analysis (Service, Sales, R&D) Vibration Analysis (Service, R&D) System Mainte- nance Prediction (Service) Vehicle Health Prediction (Production <> After-Sls.) Main- tenance Transpar- ency App (Service) Aircraft Health Prediction (Service) Train Health Prediction (Servcie) Emerging Issues (R&D) Defect Pattern Identifi- cation (R&D)
  39. 39. 44© 2015 SAP SE or an SAP affiliate company. All rights reserved.
  40. 40. © 2011 SAP AG. All rights reserved. 45Internal Powering the transformation Connect Transform Re-imagine  Maintain  Track & comply  Optimally utilize  Remotely operate  Monetize usage  Extend new service
  41. 41. © 2011 SAP AG. All rights reserved. 46Internal Internet of Things for Business – only from SAP Maturity … core business operations with billions of internet-enabled things to gain new insights by combining business data with machine data .. existing business processes with predictive, context-based and automated insights from the edge of the network .. business and customer’s experience with new business models, products & services Connect Transform Reimagine Added Value for the Company Supporting technologies:  Big Data  Cloud  Mobile  Analytics  Integration
  42. 42. © 2011 SAP AG. All rights reserved. 47Internal SENSORS THINGS CONNECTOR TRANSPORT 10’s of billions of connected things Private and public networks High-performance compute infrastructure Deconstructing the Internet of Things
  43. 43. © 2011 SAP AG. All rights reserved. 49Internal SAP will deliver IoT applications, platforms, and facilitate extensions of IoT solutions 6 months 1-2 years Long Term 50 billion things will join the workforce, moving biz processes to the device/edge of the network Our strategy is to grow revenue by IoT enabling core industry, and next generation solutions for millions of human users while expanding our platform market by adding devices Sell IoT Enabled LoB/Ind SaaS Enable SAP Solutions (IoT enabled LOB/Ind Solution) Extend for Custom Solutions (Platform to enable Partner development) Embed with Hardware partnerships (HCP integration to customize apps)
  44. 44. SAP HANA Cloud Platform - the Internet of Things enabled in-memory platform-as-a-service Machine Cloud (SAP) HANA Cloud IoT Services End Customer (On site) Business owner (SAP Customer) HANA Cloud Integration Business Suite Systems (ERP, CRM , etc.) SAP ConnectorDevice HANA Big Data Platform Data Processing Extended Storage Hadoop In-Memory Engines Streaming Storage ∞ HANA Cloud Platform Machine Integration Process Integration IoT Applications (SAP, Partner and Custom apps)
  45. 45. © 2011 SAP AG. All rights reserved. 51Internal SAP HANA Platform for the Internet of Things HANA, Base edition HANA, Predictive option HANA, Spatial option HANA, IoT option HANA smart data streaming HANA dynamic tiering Manufacturing Infrastructure & Intelligence / Plant Connectivity SQL Anywhere (Workgroup/Standard/Advanced) SQL Anywhere Remote Database Client Event Stream Processor (ESP) SAP HANA platform, Internet of Things ► IoT Connector: Scenarios where new assets/devices need to be connected. ► IoT Streaming: Scenarios where edge compute(fog) on streams is necessary. ► IoT Industrial: Classic Operational environment in industrial setting. ► IoT Always Available: Scenarios where connectivity can be intermittent or sites are remote. ► And many more innovative IoT scenarios… Supported Solution recipes1 1. See back-up slides for typical configurations
  46. 46. SIEMENS Cloud for Industry The SIEMENS ‘Cloud for Industry’ connects the worlds of machines and business via: • the HCP for IoT • open APIs • easy connectivity. It is the successor of the SIEMENS Plant Data Services. It is planned to be an open platform: • Open to non-Siemens assets and non- SAP back-ends • Endorsing the OPC UA Standards • Creating a separate, yet adjacent & complementary partner developer network R&D Sales Manufacturing Aftermarket Service Supply Chain In-Memory Cloud Platform for the Internet of Things Partner Connectivity Customer Connectivity SAP Connectivity SIEMENS Connectivity Partner Applications Customer Applications SAP Applications SIEMENS Applications Machine connectivity to SIEMENS customers plants Business Process Integration (SIEMENS or SIEMENS customers) Cloud for Industry
  47. 47. Try it yourself! scn.sap.com
  48. 48. IoT Applications SAP Predictive Maintenance & Service SAP Connected Logistics SAP Connected Plant SAP Connected Retail SAP Augmented Reality
  49. 49. Connected Utilities Connected healthcare Connected cities Connected car Real-time replenishment IoT in EVERY Business Connected retail Connected asset management Responsive supply chains Connected logistics Predictive maintenance Connected buildings Responsive manufacturing
  50. 50. © 2011 SAP AG. All rights reserved. 57Internal • Machine Data Collection Conclusion: SAP as Part of Your IoT Strategy • Network Connectivity Management Connectivity • Network • Communication ModulesHardware • Embedded Hardware • Software ManagementDevice Management • Configuration • Access Applications Analytics • Application Services Application Enablement • Develop, Deploy & Run • Cloud Services • Event Processing • Application Integration IoT Security • Monitoring • Device Lifecycle IoT Services Partner Derived from IDC’s Worldwide M2M Taxonomy 57 Partner © 2015 SAP SE or an SAP affiliate company. All rights reserved. or Partner Customer
  51. 51. 58 Connect | Transform | Reimagine
  52. 52. Thank you! http://www.sap.com/iot @SAP_IoT SAP Internet of Things SAP Internet of Things Timo Elliott Innovation Evangelist Timo.Elliott@sap.com TimoElliott.com @timoelliott

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