Reveal the Car's Potential with Cognitive IoT
-
Upload
sebastian-wedeniwski -
Category
Automotive
-
view
282 -
download
1
Transcript of Reveal the Car's Potential with Cognitive IoT
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