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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

The World is Changing – Multiple Personas

1 Car 1 Owner

Then

1 Car

1 Owner

Now

Many Drivers

Many Users

1 Person 1 Mode

Then

Destination 1 Person Car

Now

Destination

Bus

Train

Car Share

The World is Changing – Multi-Modal

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

Keys to Success in a Changing World

• Identity Relationship Frameworks

• Move from Vehicle Centric Design to Context Centric Design

• Ecosystem Interoperability

• Lifecycle Management

Identity Relationship Framework

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

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

Content Centric Design

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

Goal is to provide Platform to enable True Consumer Experience

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

Ecosystem Interoperability

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

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”

Lifecycle Management

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

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

Thank You! [email protected]