data driven collaboration in automotive Stefan Schilling Principal Car IoT & Data September 2016

Transcription

1 data driven collaboration in automotive Stefan Schilling Principal Car IoT & Data September 2016

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3 Digital is disrupting industry fundamentals Products and technologies Customer expectations Business models Smart ecosystems Connected cars New experiences Car sharing services Smart homes Autonomous cars Pay-as-you-go insurance Smart infrastructure Sales and service relationships Electric vehicles Fleet management services Smart cities

4 Automotive Industry is changing rapidly Physical Production assets Digital Transformation Digital Smart products Raw materials and products R&D Service ecosystems Preventive maintenance Supply R&D Production Supply Marketing Sales Production Services Connected consumers Marketing Services ` Sales Modern manufacturers are embracing customer centricity, innovating faster and becoming more agile

5 Digital transformation offers a critical advantage across your business TRANSFORM THE EXPERIENCE OPTIMIZE YOUR OPERATIONS EMPOWER YOUR EMPLOYEES 5

6 INNOVATE new vehicles and services utilizing real-time driver and vehicle feedback TRANSFORM THE EXPERIENCE to differentiate your product & customer experience and unlock new revenue opportunities BUILD seamless mobility experiences that blend with customers digital lifestyle DEVELOP alternative mobility service offerings to augment vehicle ownership models

7 connected car core scenarios transform customer experiences Connected Cars transform business models & networks Digital Experience & Services Customer Interaction and Relationship Customer relationship is key to own the Service Know & Anticipate customer preferences Leveraging cognitive Services and ambient Telematics Backend Backend, connect Data & Services with Car, ecosystem & 3 rd party Authentication, Security Worldwide low latency & scalability Predictive Service as for Maintenance Highly Automated Driving (HAD) In Car Intelligence & intelligent Back End Predictions & Algorithms Maps & Location based Services worldwide AI & Deep learning Platform 7

8 Deliver personalized mobility services Challenge Keep up with the rising customer demand for personalized mobility services. Strategy Store and analyze information on traffic conditions and the subscribers individual calendar, contacts, message, app and habits on Microsoft Azure. Results Provided subscribers with a journey management tool that communicate to them when and where they need to be and how to get there. We are building this platform as a foundation for our future services and experiences and Microsoft Azure and Azure services gave us the right tools. Thom Brenner, Vice President of Digital Life, BMW Group

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10 ABB Predict issues before they happen Objectives Enable fast-charging electric vehicle chargers to detect potential issues and suggest next steps for maintenance with users. Tactics Use Microsoft Azure cloud and IoT services to monitor charging station health, predict issues and recommend corrective measures before the customer ever feels the impact. Results Real-time visibility into charger health Proactive maintenance via machine learning and predictive analysis Global scalability through Azure cloud-based services Platform performance and stability are critical differentiators for the successful operation of a modern, data-dependent EV charging station. Pekka Tiitinen President, Discrete Automation and Motion Division, ABB

11 Rolls-Royce Filtering the signal from the noise Objectives Connect Rolls-Royce jet engine data to Microsoft's intelligent cloud for insights to improve aircraft performance, safety and maintenance. Tactics Use Cortana Intelligence to scale quickly and efficiently, aggregate data across customer fleets and process data in real time. Results More efficient flight and maintenance plans Targeted and actionable fuel efficiency insights Quickly-generated reports and dashboards that tell compelling stories and deliver high-quality insights Our goal is not data for the sake of data, but to embrace the cloud and analytical technologies to deliver more expert insights to the right stakeholders at the right time. Nick Farrant Senior Vice President, Rolls-Royce

12 ACCELERATE new vehicle programs by enabling R&D teams with HPC for simulation OPTIMIZE YOUR OPERATIONS to respond faster to market forces, industry pressures and operational goals IMPROVE manufacturing and supply chain operations through cloud connectivity and advanced analytics CAPTURE more deals with advanced customer analytics and guided sales and service tools

13 Engage your customers Market and Sell Personalize products and services to drive customercentric sales relationships. Monitor and Manage Gather product and customer data, push remote updates, sell remote management services. Service Smart service reduces costs and provides cross and up-sell opportunities. Alert Send field tech. DEPLOY UP-SELL MANUFACTURING PLANT GLOBAL OPS

14 Make the car buying process more experiential Challenge Provide a more personal car-buying experience for their customers. Strategy Let customers experience the complex technical capabilities available in ADAS systems using Microsoft HoloLens. Results Provided customers with a personalized car buying experience using HoloLens to see the soul of the car Set the foundation for the dealership of the future HoloLens can allow our customers to see features, colors, options, so rather than working on the computer seeing things, you can be part of the experience... Nina Larsen, Director, Retail Marketing, Volvo Cars

15 Optimize the manufacturing plant Monitor production flow in near-real time to eliminate waste and unnecessary work in process inventory. Manage equipment remotely, using temperature limits and other settings to conserve energy and reduce costs. Analyze plant data to act quickly on production insights like inefficiencies or bottlenecks and enhance productivity. Provide cross-channel visibility into inventories to optimize supply and reduce shared costs in the value chain. Implement condition-based maintenance alerts to eliminate machine down-time and increase throughput. Aggregate product data, customer sentiment, and other third-party syndicated data to identify and correct quality issues. THIRD-PARTY LOGISTICS CUSTOMER

16 KUKA Creating a connected factory Objectives Build a factory that meets demand for one of the world s most iconic vehicles, the Jeep Wrangler. Create a highly automated plant with a central data-management system. Tactics Connected 60,000 devices and robots to back-end monitoring systems with a streamlined management environment, enabling the system is able to adapt quickly and provide actionable insights into factory operations. Results Rapid adaptation supports multiple models, helps produce a car body every 77 seconds Continuous uptime enables 24 hours of production per day for over eight years Familiar interface improves efficiency, reduces training time We ship our customer a complete car body every 77 seconds. We don t have time to adjust source code, and we can t introduce something that isn t trusted and proven. Our intelligent system built with Microsoft technology enables us to react very quickly. Jake Ladouceur Managing Director, KUKA Systems Group Toledo facility

17 Summary Empowering Automotive Designing, manufacturing and selling the vehicle Creating new business models as a service provider TRANSFORM THE EXPERIENCE OPTIMIZE YOUR OPERATIONS EMPOWER YOUR EMPLOYEES 21

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19 Microsoft platform & Data PAAS Azure Cloud & Hybrid, PAAS, cognetive Services, Data & IoT

20 beyond Platform 24

21 FLEXIBLE INTEGRATED TRUSTWORTHY