2016 SAE Convergence IBM

Self-enabling: The next frontier for transforming the consumer experience in connected vehicles

Kalman Gyimesi@kalgyimesiIBM Watson IoT20.09.2016

Whatarethemostimportantexternalforcesimpactingtheautoindustrytodayandin2025?

Technologyprogress

Consumerexpectations

66%68%

50%46%

2014 2025

Source:Automotive2025:Industrywithoutborders,IBMInstituteforBusinessValue,2015

Technology and consumer expectations have become the most important forces impacting the auto industry

By 2020, internet connectedvehicles will be the

#1connectedapplication 350

Also, connectedvehicles will produce

of data per minuteMB

of new cars are connected to the internet, packed with sensor technologies

35%Today,

The Internet of Things transforms consumer’s experiences in cars

Technology in cars is often complex and confusing

1 2

3

4

5

Touchscreens require taking eyes off the road – drivers can’t feel the controls

But,…is this the answer?

…every digital interaction in connected cars focus on one of three purposes

What is the right approach?

Self-integratingSecure, seamless digital

integration

Self-configuringPersonalization and

Customization to environment

Self-socializingVehicle social networks to assist others, utilizing the vehicle for ancillary tasks

Self-drivingAutomated and autonomousmobility

Self-learningCognitively optimizing performance

to occupants and environment

Self-healingAnalytics and prognostics forservice and maintenance

IBM sees a future where cars will enable themselves

Self-healing

Self-socializing

Self-driving

Self-learning

Self-configuring

Self-integrating

What self-enabling vehicle capabilities would interest you in the future?

59%

55%

54%

54%

51%

49%

Global

Research shows strong consumer interest in self-enabling capabilities in cars

Extremely/Veryinterested

Information• Personal• Usage• Derived• External

Personas• Mobility• Commerce• Communications• Health

Events• Commuting• Traveling• Shopping• Socializing

Personalization is the underpinning to a self-enabling vehicle

Devices• Smartphones• Tablets• Laptops• Wearables• Vehicles

…the next generation will help you more directly…

…how will this be experienced in cars?

Some have begun to make that connection…

Consumers’ willingness to share personal data depends on their trust and recognition of clear value

Natural language interfaces develop cognitive knowledge…

…while IoT connections to vehicle operations help to self-enable

By better understanding their occupants, vehicles can create new experiences

Cognitive systems democratize innovation by scaling knowledge…

To deliver value, you must make sense of all the data and put it to use

Sensors Data Analytics Information Cognitive Knowledge

Question &Answers

− Natural Language Processing− Machine Learning− Question Analysis− Feature Engineering− Ontology Analysis

Watson won Jeopardy! In 2011 using what is now a single API built on five underlying technologies

Question & Answers

Personality Insights

Keyword Extraction

Image Link Extraction

Language Detection

RelationshipExtraction

Feed Detection

Concept Expansion

Dialog Sentiment Analysis

Visual Recognition

Concept Insights

Concept Tagging

Natural Language Classifier

Language Translation

Message Resonance

Text to Speech

Retrieve & Rank

TaxonomyAuthor Extraction

Tone Analyzer

Image Tagging

Tradeoff Analytics

Watson News

Text Extraction

Speech to Text

Entity Extraction

Face Detection

Since 2011, Watson has grown to a family of 30 APIs

Soon Watson will be over 50 APIs and IBM is committed to adding more each year

Question & Answers


Answer Generation


Language Detection

Relationship Extraction

Feed Detection

Concept Expansion

Dialog Sentiment Analysis

Visual Recognition

Concept Insights

Concept Tagging



Message Resonance

Text to Speech

Retrieve & Rank


Tone Analyzer

Image Tagging

Tradeoff Analytics

Watson News

Text Extraction

Speech to Text

Entity Extraction

Face Detection

Decision Optimization

Knowledge Graph

Usage Insights

Fusion Q&A

Video Augmen.

Risk Stratification

Policy Id

Easy Adaptation

Emotion Analysis

Knowledge Studio Service

Decision Support

Statistical Dialog

Criteria Classification

Q&A Qualification

Knowledge Canvas

Factoid Pipeline Case Evaluation

Keyword Extraction

Factoid Pipeline

CaseEvaluation

These APIs are the foundation for understanding the driver in new ways

Question & Answers


Answer Generation


Language Detection

Relationship Extraction

Feed Detection

Concept Expansion

DialogSentiment Analysis

Visual Recognition

Concept Insights

Concept Tagging



Message Resonance

Text to Speech

Retrieve & Rank


Tone Analyzer

Image Tagging

Tradeoff Analytics

Watson News

Text Extraction

Speech to Text

Entity Extraction

Face Detection

Decision Optimization

Knowledge Graph

Usage Insights

Fusion Q&A

Video Augmen.

Risk Stratification

Policy Id

Easy Adaptation

Emotion Analysis

Knowledge Studio Service

Decision Support

Statistical Dialog

Criteria Classification

Q&A Qualification

Knowledge Canvas

Factoid Pipeline Case Evaluation

Keyword Extraction

Factoid Pipeline

CaseEvaluation

Simplify the complexity of technology that has become steadily more pervasive in vehicles1

Self-enabling vehicles are the next target for connected innovation2

2 Cognitive + IoT is the winning formula for enabling a differentiated experience3

How will vehicles become more self enabling?

How will cognitive help deliver personalization and value?

Kal GyimesiAutomotive Marketing LeaderIBM Watson [email protected]@kalgyimesi

Alsofollow@IBMAutomotive

FindtheIBMInstituteforBusinessValuestudiesdiscussedtoday:https://ibm.biz/Auto2025https://ibm.biz/AutoConsumer

2016 SAE Convergence IBM

Automotive

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