Managed Business Process ServicesReveal the Car’s Potential with Cognitive IoTYuri TsujiManager, Product Planning Silicon Valley Center, Panasonic Automotive Systems Company of America

Dr. Sebastian WedeniwskiIBM Distinguished Engineer, CTO Automotive/Aerospace & Defense/Industrial Products Global Industry

IN

PANASONIC CROSS VALUE SOLUTIONS

Smart Homes.. Smart Cities… Better Life… Better World…

Components to Solutions Cross Value Innovation

IN

PANASONIC DOMAINS & SOLUTIONS & PRODUCTS

3

Cross Value Innovation

IN

PANASONIC 4 GLOBAL DIVISIONS & SILICON VALLEY CENTER

4

Cross Value Innovation

IN

PANASONIC SILICON VALLEY CENTER

5

IN

PANASONIC & COGNITIVE MOBILITY

6

Unlimited content integration

User Generated • Social Networks • Ecommerce • Corporate • Collaboration • Others…

PersonalizationPreferences • Brands • Lifestyle • Entertainment • Merchants • Activities • Travel

Unlimited triggersLocation • Speed • Sensors • Databases • Others…

Connectivity technologiesPersonal – Local – Wide • Area Networks, Micro Location..

Panasonic One Connect

Content Streaming Platform

Personalized Contextual Content Delivery to fit user lifestyle and

needs

AvionicsIFE

Mobile Devices

Car

IoTAppliancesWearablese-TokenSmart Key

IN

PANASONIC ONE CONNECT – IN CAR INTELLIGENCE

7

IN 8

Cognitive MobilityConnectivity Technologies

Personal – Spaces, Places, Devices

Content Streaming Platform Personalized Contextual Content Delivery to

fit user lifestyle and needs

Unlimited DataLocations • Events • SensorsVehicle APIs • Media Units

Databases • Others…

Unlimited InteractionsUser Generated • Social Networks

Commerce • Campaigns • CorporateConversation • Collaboration • Others…

PersonalizationPreferences • Brands • Lifestyle

Entertainment • Merchants • ContextActivities • Travel • Others…

MobileDevices

Avionics Car

IoTEdgeDevices

PANASONIC & IBM COGNITIVE MOBILITY EXPERIENCE CAPABILITIES

Aunifiedplatformtomanage“Who,”“What,”“Where,”“When,”and“How”

Cognitive Ecosystem Semantic Integration of Dynamic Services

to learn customer mobility experiences

IN 9

PANASONIC & IBM VISION

http://think-automobility.org/convergence-collaboration-and-the-future-of-cognitive-cars

What is Artificial Intelligence? What is the difference between Artificial Intelligence, Cognitive, and Machine Learning?

large amount of data

Artificial intelligence is technology that appears to emulate human performance typically by learning, coming to its own conclusions, appearing to understand complex content, engaging in natural dialogs with people, enhancing human cognitive performance (also known as cognitive computing) or replacing people on execution of non-routine tasks.http://blogs.gartner.com/it-glossary/artificial-intelligence/

Cognitive systems use deep natural language processing and understanding to answer questions and provide recommendations and direction. The system hypothesizes and formulates possible answers based on evidence, can be trained through the ingestion of vast amounts of content (including unstructured and semi-structured information), and automatically adapts and learns from its mistakes and failures.(IDC's Worldwide Semiannual Cognitive Systems Spending Guide Taxonomy, March 2016)

Artificial intelligence and cognitive technology use advanced machine learning and natural language processing to discover insights in data, suggest actions, and continuously learn by mimicking natural human cognitive functions.(The Top Emerging Technologies To Watch: 2017 To 2021)

Divides Artificial Intelligence into three types: Artificial Narrow Intelligence (expertise in a field), Artificial General Intelligence (matches human intelligence across any field), and Artificial Super Intelligence. Machine Learning (NLP, deep learning, computer vision, data mining, etc.) is a key type of AI technology.

natural languageprocessing

Cognitive Systemmachinelearning

insights & confidence

Cognitive Systems enable decision makers to act with confidence;they do not make decisions that mimic human intelligence like Artificial Intelligence

Example IBM Watson Conversation Service

Description• Enables Developers with Business

users to create natural, human-like conversational experiences across all channels (e.g. mobile, messaging, robots, etc.)

• Combines Intents, Entities and Dialog into a seamless experience

Example IBM Watson Conversation ServiceIntents and Entities for an example Coffee Service

Example IBM Watson Conversation ServiceDialog for an example Coffee Service – machine learning conversation flows

Example IBM Watson Conversation ServiceTwo ways to make an order: know exactly what you want or need a suggestion

Example IBM Watson Conversation Service in Commerce domainBlockchain will get a critical platform in a software-defined online&offline architecture

Cognitive Mobility Cloud

Personal Profile

Vehicle and Location Based System Map Analytics

Conversation Event Management

Content Integration

Real-time Analysis

Cognitive VehicleVehicle Electronics HMI Agent

Mic Audio

Steering Wheel

Head Unit

Instrument Panal

Heads Up Display

Vehicle Probe Data

Hybrid Conversation

User Data

STT TTS

Vehicle Event Manager

Connection Manager

Connection Management

Data Transformation

Location Data Processing

Location Analysis

Data Orchestration

Personal Operational Data

STT

TTS

Dialog Manager

NLU

Personal History

Intelligent Module

Privacy

Shared ledger

Smart contract

Consensus

Every piece of software is like a contract (some signed by OEM, some by driver/owner) where aconsensus with all software parties is needed in a Cognitive Vehicle. All changes are immutable in a distributed, shared Bill of Materials across various software configuration patterns.

Example IBM Watson Conversation Service in Commerce domainIntegration example for the In-Vehicle Infotainment

But conversation is only one use case of 142 other related to a Cognitive Vehicle

…further detailsThe Mobility Revolution in the Automotive Industry: How not to miss the digital turnpike!

The Internet of Things, Cloud Computing, Connected Vehicles, Big Data, Analytics – what does this have to do with the automotive industry? This book provides information about the future of mobility trends resulting from digitization, connectedness, personalization and data insights. The automotive industry is on the verge of undergoing a fundamental transformation. Large, traditional companies in particular will have to adapt, develop new business models and implement flexibility with the aid of appropriate enterprise architectures. Transforming critical business competencies is the key concept. The vehicle of the digital future is already here –who will shape it?

http://www.amazon.co.jp/dp/4627486316http://www.amazon.com/dp/3662477874http://www.amazon.com/dp/3662447827http://www.springer.com/us/book/9783662477878http://www.springer.com/de/book/9783662447826

Development Model between Panasonic Automotive and IBM AutoLab

AutoLab Offerings(Buemix Garage)

Come in with

1/2 -1 Day 2-5 Day 4-10 Weeks 12+ Weeks

Selection of a use case or specific

application

Scope of MVPdefined.

Hypothesis identified.

Business/IT alignment.

Design Workshop defines clear MVP

scope.

Successful MVP app built & deployed.

Client embracingGarage Model.

What you get

Need to scale to multiple applicationuse cases (and teams

Sustainable application dev

teams on Bluemix

High level innovation agenda and/or pain points for MVP identified

MVP Selection

Understanding of the AutoLab

Garage Method

Startwithadisruptiveidea

Experimentanddesigntheapp

BuildonBluemix

Integratewithwhatyouhavetoday

DefineMVP

Scale

Con

nect

Activ

ate

Co-Create

In SummaryToday

hardware-definedFuture

software-defined

FutureinpartnershipwithIBM&Panasonicdata-defined

Howtobuild physically asafeandreliablevehicle?

HMI isprimarilydefinedbythecockpit.Cockpit isbasedonmultiple,

independentlyhardware-defineddevicesinanAUTOmobile.

Howtodigitallyintegratethedrivingexperienceandupdatevehicle

services duringdriving?

HMI isprimarilyasoftware-definedintegrationofmultiplechannelsintoonecockpit system(e.g.Audio/NLU,HapticSteering,HapticBrake,HeadsUpDisplay,Lights,Mirrors,HeadUnit,Smartphone

App,Key/Wearable).

Howtobuild alearningspacetopersonalizethevehicleand

services?

PersonalizedHMI isasemanticintegrationofdata-defined services

relatedtoSpaces,PlacesandDevices.Adynamicecosystemcreatesnewbusiness

modelsaroundtheautoMOBILE.

Smartphone Companion App Media client built into the head unit,

permanently available

Connectivity via built-in SIM card orSmartphone as modem

Traditional approachto design SW BOM & OTA

New kind of SW BOM designOTA based on Blockchain