Key success factors for connected vehicle, ride-share and Multimodal models
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Transcript of Key success factors for connected vehicle, ride-share and Multimodal models
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Key Success Factors for Connected Vehicle, Ride-Share, and Multi-Model Transportation Models
Presented by: Tim Evavold, Director Connected Car & Dealer Ecosystems
January, 2016
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The World is Changing – Multiple Personas
1 Car 1 Owner
Then
1 Car
1 Owner
Now
Many Drivers
Many Users
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1 Person 1 Mode
Then
Destination 1 Person Car
Now
Destination
Bus
Train
Car Share
The World is Changing – Multi-Modal
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Big Challenges
• Device Access Varies• Device• Brand• Manufacturer
• Time Consuming and Complex to Set Up• Complexity Builds Exponentially• More endpoints – More Vulnerability• Multiple Stakeholders – Multiple Objectives
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Keys to Success in a Changing World
• Identity Relationship Frameworks
• Move from Vehicle Centric Design to Context Centric Design
• Ecosystem Interoperability
• Lifecycle Management
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Identity Relationship Framework
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Identity Frameworks
Mobile Devices
Drivers
Creates identity issuesand prevents agility for Future programs
Car
Owner
Current
FutureOwner
AppsApps
Head Unit
Owner’s Car
Child’s
Car
Child Mobile Devices
Mobile Devices
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Identity Relationship Framework
Simplifies the ability to maintain information about people, objects and links between them• Increases Security
• Authentication – Only valid people can talk to valid devices• Authorization – Only valid actions can be executed
• Increases Usability• Each person controls their identity and information• Relationships self detect and receive confirmation from owner• As rules change, change them in one place (vs. every end point)
• Increases Personalization• As identities and/or events come together, they create treatment trigger points
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Content Centric Design
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10
Connected Car – Offers Extensive Benefits To Multiple Stakeholders
OTASW Update
TelemetryUsage data
Component Telemetry
Commands
Personalized Experience
Content NotificationsOperational Health
Vehicle Driver/Passenger
Commands
DSC Rep
TelemetryDiagnostics
Operational DataUsage Data
Customer Data
OTA SW UpdateCommands
Part Supplier
DSC Manager
Auto OEM VehicleDesigner
VAS Provider
Value Added Services
Usage
Auto OEM NotificationsService Offers
Operational DataCustomer Data
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Goal is to provide Platform to enable True Consumer Experience
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Context Centric Design
• Focus on solution frameworks vs. Vehicle technology• You “Can’t be everything to everyone”• Embrace Openness (with Control)• Leverage an interoperability approach
• Transformational Data Orchestration• Modular Business Logic Framework• Identity Framework
• Flexible Content Driven Visualization
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Ecosystem Interoperability
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What is IoT Ecosystem?
IoT Ecosystem
People
Systems
Processes
Things/Devices
IoT Ecosystem is a business context allowing enterprises to aggregate people, systems, processes and things.
The unique business context under which the interaction across people, processes, systems and things allow enterprises to access and share information securely across business entities.
Onboarding, provisioning and ability to manage across people, processes, systems dynamically and things create a unique value proposition
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Ecosystem Interoperability
Personalization
• User Preferences• Lifestyle
Preferences• Radio Presets• Travel
Unlimited Triggers
• Location• Speed• Sensors• Database (Status
Updates, Profiles, etc.)
• Time• Rules
Access Management
• SSO• Trust and
Federation• Identity
Management• Security Auditing• Tokens• PKI• Monitoring
Identity Lifecycle
• User mgt.• Credential Mgt• Identity
Integration• Provisioning
Deprovisioning
Unlimited Content Integration
• User Generated• Social Networks• Ecommerce• Corporate• Collaboration• Others…
“IoT CLOUD”
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Lifecycle Management
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Lifecycle Management
Identify
Register
Connect
ExtractSynthesize
Derive
Sustain
• THING Identity management• Fine grained authorization• Data security and access
rules• Data Governance• Multifactor Authentication• RFID, NFC support for
Authentication• Rules based Authorization• Event Based History• Pre-defined and Custom
defined Lifecycle events• Many-to-Many Relationship
Model
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Lifecycle Management Enables
• Capture entire history of Things and their Ecosystems throughout their lifecycle
• Ability to REPLAY a specific Thing, or an Ecosystem to simulate events that led to critical business scenarios
• Health monitoring• Diagnostics / Root Cause Analysis• Innovation Simulation
• Ability to do Comparative Analytics and Big Data Analytics at any point in time providing broader business insight
• Provide insight into major security threats and security flaws• Ability to apply dynamic rules to devices for specific lifecycle events
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Thank You! [email protected]