Co-Innovation Co-Creation Business Value
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1 Co-Innovation Co-Creation Business Value Co-creation in Big Data and IoT projects with Fujitsu and SAP (Leonardo) Tomas Huseby Commercial in confidence
2 A global Japanese ICT company 1935 Founded World's 5 th largest IT services provider Fortune Global (by total revenues) 100+ ~ ,000+ ~159,000 K Computer Countries B$ revenue B$ R&D exp Patents People 1.41 PB memory 705,024 cores 10,5 PFlop/s System Platforms System Products Network Products Services Solutions/Systems Integration Infrastructure Services Ubiquitous Solutions PCs / Mobile Phones Mobilewear Device Solutions LSI Electronic Components 1 1. Walmart 26. General Electric 71. Siemens 117. ING Group 145. Statoil 192. FedEx 248. Fujitsu 312. Accenture 369. BT Group 420. McDonald s 441. Flextronics 462. SAP
3 What defines us IoT Analytics Mobile AI Human Centric Innovation 1,400 Researchers US$ 2.2B R&D expenditure Cloud Security 18,500 R&D employees +100,000 Patents SDCI Integrated Computing 50% in advanced research (new business) 30% in research linked to business (near-term) 20% in own revolutionary innovations 2
4 Driving Digital Transformation Knowledge Integration AI Cloud Big Data IoT Data Value Customer Security Commercial in confidence
5 Industry initiatives Smart Field Services Industrial lot Solutions Smart Automotive Smart Manufacturing Smart Healthcare Smart Agriculture Smart Transport & Smart City Applications IoT Platform Cloud, Infrastructure, Networks Wearables, Devices, Sensors IoT Ecosystem Smart Financial Services Industrie 4.0 factory creates value Industrial Internet Consortium data creates value Industrial Value Chain Initiative human knowledge creates value 4
6 Well said about how Digitalisation should work 5
7 Information has always been around us 6
8 IT & OT seamlessly working together The seamless integration between Information Technology & Operational Technology is the key for successful connected enterprise implementation. 7
9 Big Data, Analytics and Machine Learning 8
10 Analytics Fujitsu IoT portfolio elements Unique End-to-End IoT Solution Provider including Services Security Big Data/Analytics Specific Solutions Application Layer Middleware Layer (Platform) Network Layer Gateway Layer Workflow Integration across Things, People, and Information Device Mgt Edgeware Pre-defined IoT Business Solutions API IoT Platform Communications Mgt Rapid IoT Application Development Platform Digital Business Platforms (Public Cloud S5/K5, Private, ) Global Network Services (Internet, Wireless, Mobile, Leased, ) IoT Gateway Data Mgt Serial, Eth, Bluetooth Fujitsu IoT Portfolio Elements Peripheral Fujitsu Cloud IoT Platform (IQP) GlobeRanger imotion Edgeware Fujitsu UBIQUITOUSWARE Fujitsu RunMyProcess/ ServiceNow Fujitsu SPATIOWL Fujitsu AIT solutions Device / Edge Layer Sensor-equipped Devices, Wearables, Tags 9
11 Fujitsu and SAP Leonardo Technology Stacks IT Simplified Work Management Industrial Operational Intelligence Connected Asset Predictive Maintenance and Service Semantic Layer (ISO Data Model) Connected Workers MFG Execution Asset Tracking and Visibility Quality Inspection and Control Connected Manufacturing Manufacturing Analytics and Manufacturing Performance Management Semantic Layer (ANSI/ISA 95) OT Industrial M2M - SAP MII IT Systems (SAP / Non- SAP) DCS PLC SAP IoT Connectors Plant DB Plant Data Collection Plant Historian Wireless Integration GlobeRanger imotion LIMS SCADA/ HMI IT Systems (SAP / Non- SAP) Environmental 10
12 Fujitsu Smart Factory Framework Smart Factory Enterprise Application Advanced Planning Green Manufacturing Artificial Intelligence Manufacturing Operations Real Time IoT Platform Human-Machine Interface Supply Chain Optimization Attributes Capabilities Enablers 3D Printing Video / image analytics People Cyber Security Intelligence Maintenance Robotics Connected Quality Mangement Augmented Reality / Wearables Engineering Cloud Smart Devices Big Data Analytics is a journey to gain actionable intelligence and optimize operational effectiveness continuously in an interconnected value chain 11
13 Fujitsu and SAP technologies make Smart Factory Real SAP S/4 HANA SAP Distributed Manufacturing SAP S/4 HANA Enterprise Application 3D Printing Video / image analytics Advanced Planning Green Manufacturing People Artificial Intelligence Manufacturing Operations Intelligence Real Time Connected IoT Platform Human-Machine Interface Supply Chain Optimization Engineering SAP Cloud Platform Smart Devices Big Data Analytics SAP Fiori Smart Factory Consulting Services is a business outcome oriented approach to further unlock the value of your existing SAP assets and guide your future technology investments Cyber Security Maintenance Quality Mangement Cloud SAP Hana Robotics Augmented Reality / Wearables SAP Cloud Platform 12
14 A Journey to Connected Enterprise» Map out Smart Factory vision and strategy» Develop Smart Factory maturity model and evaluation criteria» Evaluate business case» Define the capabilities you need» Develop an integrated outcome based roadmap» Identify pilot opportunities» Business outcome based» Bi-modal approach» Jump start with Fujitsu IPs and industry best practices» Digital cultural and organizational transformation» Technology implementation» Transformational Managed Services» Hybrid IT 13
15 Digital Transformation cases with our customers Customer analysis/ Marketing About +60 projects Transportation/ Disaster prevention About +40 projects Traceability About +30 projects Smart factory About +30 projects Personal Safety/Security (Elderly/Children, etc.) About +30 projects Smart Agriculture About +30 projects Facilities Monitoring/ Maintenance About +20 projects Smart Retail About +20 projects 14
16 Manufacturing quality control Denmark Manufacturing Leading edge in manufacturing: Industrie 4.0 with artificial intelligence (Zinrai) Analysis of the manufacturing quality of the structures and the different layers of fibers in wind power blades. Based on Artificial Intelligence, Deep Learning etc. based analysis of ultrasonic and thermal images.
17 Co-creation with Omron, Visualizing Bottlenecks Omron Corporation is an electronics manufacturer of automation and healthcare products. In July 2011, Omron developed 'Value Generation 2020', its long-term management vision through 2020, and continues to challenge itself for growth to become a global player. Focusing on quality, safety and the environment, Omron supports manufacturing innovation globally with its unique sensing and control technologies. In particular, its control equipment and factory automation (FA) systems business has the number one market share (40%) in Japan and operates in 80 countries around the world; Europe, North America, China and the Asia Pacific. Omron also provides manufacturing solutions to its customers, solving the diverse management problems at their production sites. At the same time, it has invested continuously to improve efficiency in the production lines of its own factories using Omron's controlling technologies and products. Omron Story: YouTube Video: 16
18 The Largest Utility in California $50 billion total assets Enhance operations and maintenance by combining information technology (IT) with operational technology (OT):» Boost productivity» Improve asset reliability» Gain real-time visibility into all aspects of operations. Improved Operational Efficiency Mobilized and paperless plants» HBGS Integrati on POC» Event Reporting System» GRIT» OM Dashboard» Plant performance Improved Compliance Risk avoiding benefits estimated at multiple million USD» Hydro FERC Compliance» Air Quality Compliance» Approval Dashboard» PV Monitoring» Event Reorting System» HDCS Interface» MODAC - Interface Reduced Operational Cost Manual hours saving estimated at thousands of hours per year» GRIT ECAP» STDF Inteface» Extend Air Quality*» Extend PV Dashboard*» Condition Based Maintenance*» GRIT-LAM Integration*» Condition Based Maintenance» ECAP Enhancement and Rollout» GRIT Rollout» Predictive Analytics
19 A few related projects 18
20 Demo of the endgame : Intelligent Dashboard Data from plant ops Factory dashboard Full transparency from single sensor level to global business level. Data from bus. apps Management dashboard with business and operational data. Data from shop floor Data from order system Equipment per production line. Operational view of all production lines. Single equipment status, digital data sensors. Data from machine sensors
21 Commercial in confidence
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