Artificial intelligence and the car - what does the future hold? Dr. Joanna Batstone Vice President, IBM Watson @jbatstone Oct 22, 2018

Advances in Artificial Intelligence

Advancing the foundations of one of the most fundamental technologies of the 21st century

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The birth of artificial intelligence - 1956 Dartmouth Conference

John MacCarthy Marvin Minsky Claude Shannon Ray Solomonoff Alan Newell

“We propose that a 2 month, 10 man study of artificial intelligence be carried out…The study is to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it… We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists work on it together for a summer.”

Herbert Simon Arthur Samuel Oliver Selfridge Nathaniel Rochester Tenchard More

What are Artificial Intelligence, Machine Learning and Cognitive Computing?

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Data mining

Pattern recognition

Natural language processing

Ontologies Statistics

Robotics

Expert systems

Neuromorphic

COGNITIVE COMPUTING

MACHINE LEARNING

ARTIFICIAL INTELLIGENCE

Big Data

Perception

Robotic Process Automation

Classification

MACHINE ENHANCED DECISION MAKING

AUTONOMOUS DECISION MAKING

Game playing

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AI/ML as the domain of the academic and researcher.

Few applications for everyday life.

AI/ML Foundations

Artificial general intelligence and robotics enables

computers to surpass the abilities of humans at most physical and mental tasks

AI/ML Tomorrow

AI/ML in widespread use to enhance everyday life,

usually applied to specific narrow problems or tasks.

AI/ML Today

1997 - Deep Blue vs. Kasparov

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2005 – Stanley vs. The DARPA Challenge

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2011- Watson vs. Jeopardy

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2017- AlphaGo Zero vs. itself…

The evolution of AI

Narrow AI Initial

Value Creation

Broad AI

Disruptive and Pervasive

General AI Revolutionary

▼  We are here 2050 and beyond 2010 and earlier 2015

Every business and enterprise is embracing AI

AI Everywhere

Healthcare Finance Agriculture Government Education Energy Science Business solutions

Instrumented Planet

Environmental solutions Digital agriculture Connected cars Geospatial-temporal data and analytics Smart sensors

Deeper Insights

Data-centric systems Distributed Deep Learning Neuromorphic systems Quantum computing Homomorphic encryption Machine foresight Cognitive discovery

Engagement Reimagined

Human-machine collaboration New AI modalities Augmented reality Global trade logistics Blockchain for payments

Personalization at Scale

Personalized healthcare Micro-segmentation Personalized finance Targeted marketing Personalized learning Individualized solutions

What lies ahead?

12 IBM Research / © 2018 IBM Corporation

Research is at the heart of advancing broad AI

Signal Comprehension: From video and text to rich human perception

Learning and Reasoning: From scalable machine learning to making a case

Interaction: Understanding language, tone, emotion and context

“A green bird sitting on top of a bowl”

Brain-inspired neuromorphic systems

Cars & the automotive industry

Olli is the first vehicle to utilize the cloud-based cognitive computing capability to analyze and learn from high volumes of transportation data, produced by more than 30 sensors embedded throughout the vehicle. The platform leverages four Watson developer APIs -- Speech to Text, Natural Language Classifier, Entity Extraction and Text to Speech -- to enable seamless interactions between the vehicle and passengers.

Local Motors Debuts "Olli", the first self-driving vehicle to tap the power of IBM Watson

Experience expectations are based on previous best experiences

DO NOT DISTRIBUTE - CONFIDENTIAL & PROPRIETARY

Drivers will customize the service to their preferences

DO NOT DISTRIBUTE - CONFIDENTIAL & PROPRIETARY

American drivers average more than 17,600 minutes, or about 293 hours behind the wheel

annually.

Average time spent behind the wheel each year is equivalent to

seven 40-hour work weeks.

*AAA Foundation for Traffic Safety. 2016

88% of drivers use their phones while driving.

During an hour-long trip, drivers spend an average of 3.5-minutes using their

phones.

http://blog.zendrive.com/distracted-driving/ 2017 .

The average driver will spend sixteen hours & twenty minutes using their

phone while driving.

The next 5 years will be more important

than the last 100

Frictionless loan origination

•  Approval in minutes or hours (10x faster than 5 years ago)

•  Analytics and machine learning to improve customer experience

Automated claims processing

•  Rapid payment of claims with transparency and instant visibility

•  Machine learning & AI to identify fraud & abuse and fast track others

Optimized healthcare management

•  Automation of routine tasks, such as patient & equipment scheduling

•  Analytics & AI to minimize wasted healthcare resources

Today with digital automation, a small number of experts can create great experiences for customers at scale

© 2017 International Business Machines Corporation 22

3 major ways for AI to drive value

Voice of the Customer Allows clients to understand their customer’s sentiment and trends beyond what’s gathered from traditional surveys and call center interaction(s).

Customer Care Provides an omni-channel way for customers to have a new engagement model with clients business while avoiding contact center traffic.

Expert Assist Helps customer-facing stakeholders when they need more information to help solve a problem, answer a question or cross-sell a customer.

© 2017 International Business Machines Corporation 23

No apps, no buttons, no passwords, no more computer stuff…

No more admin…

Just users & services…

Voice as the UX Model is the most Natural User Interface

”Directions to 123 Hudson Street, Detroit Michigan” “I need directions to Brighton’s Varsity Soccer Field” “I need directions to Aunt Rosie’s house.” “How long will it take me to get home”

“Where can I get a coffee?” “I’m looking for a pharmacy” “What’s the highest rated Italian restaurant within 10 miles?” ”Will I make it there before it closes?” “What time is my next meeting?”

“Why is my check engine light on?” “Are my tires at the recommended pressure?” “How do I check my oil level?” “Tell me when I need to get my tires rotated” ”Schedule an appointment at my dealership for Saturday morning”

Watson Assistant: •  Automotive domain expertise •  Integration with calendar, map, etc. •  Can be invoked proactively on your

behalf by real world object event changes

•  Use Case Focus: •  Conversational interactions & Speech •  Commerce •  Maintenance •  Safety •  Multi tasking

IBM Corporation

Owning the Customer by removing Friction, Questions & Choices

IBM Watson & Xevo Delivers Major Merchant Brands to General Motors In-Car Commerce Platform

Enables POI Requests & Interactions

Ask about a

restaurant, coffee shop or dry cleaner.

Get a curated

response based on your priorities

Where can I get a coffee?

Which side of the car is my gas cap on?

Enables Car Manual Questions & Interactions

Ask questions based on the vehicle car manual.

Get a groomed

response based on vehicle & it’s manual

data

When is my next meeting?

Understands your Calendar & its

Context

Ask when your next meeting is while driving.

Get calendar data based on what will happen while in en-

route.

What’s my tire pressure?

Show me the fastest way to get home.

Understands Vehicle Data

Ask about vehicle status,

either real time or historical.

Get vehicle data while driving or proactively

when an event demands your attention

Understands navigation

Navigation &

Conversation simplifies getting around

Integrate navigation into

the entire experience

Differentiating Use Cases

© 2017 International Business Machines Corporation 27

Autoglass Body Repair Visual Recognition

Results:

•  >70% improvement in quote processing times by using AI analyses to determine repair costs

•  Optimizes damage advisors’ time and skills by allowing employees to focus on more complex claims

•  Boosts efficiency of the quote generation process by supporting human decision-making with AI analyses

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© 2018 IBM Corporation

Industry: Automotive

BMW Group now features weather data provided by The Weather Company within their ConnectedDrive systems in vehicles across North America. Additional IoT-based connected auto services from BMW will provide realtime, contextual updates about route, traffic and vehicle status in order to enrich the driving experience and make recommendations to the driver.

BMW and IBM explore conversational interfaces and integrated Weather data for connected auto services

3 Keys to Successfully Implementing AI

29 © 2018 IBM Corporation

Organizational Readiness –  expedites AI technologies at the

enterprise level

Data Readiness –  shapes the implementation timeline

and end user experience

Value Readiness –  defines business outcomes

Multi-Cloud

COLLECT - Make data simple & accessible

ORGANIZE - Create a trusted analytics foundation

ANALYZE - Scale insights on demand

AUTOMATE - Apply ML everywhere

TRUST - Achieve trust & transparency

Make your data ready for AI

Protect your insights

Reimagine your workflows

Modernize for simplicity & agility

Data of every type, regardless of where it lives

Trust and transparency is the next step in the ladder to AI

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AI bias will explode. But only the unbiased AI will survive.

Fair AI: Recognizing & Avoiding Biases

Data Bias

Model Bias

Re-training Bias

Training

Continuous reinforcement

Data

Deliver Trust & Transparency for Enterprise AI IBM AI OpenScale

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•  Automatically detects fairness issues at runtime

•  Intelligently delivers bias mitigation help

•  Provides traceability & auditability of AI predictions made in production applications

•  Tracks AI accuracy in applications

•  Explains an outcome/recommendation in business terms

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Explain how AI arrived at a prediction •  Uses contrastive techniques to

explain model behavior in the vicinity of the target data point.

•  Identifies feature weighting of most and least important features

•  Displays factors that influence a prediction in simple terms.

Explainability

IBM Cloud / Watson and Cloud Platform / © 2018 IBM Corporation

Compassion Intuition Design

Value judgments Common sense

Compassion Intuition Design

Value judgments Common sense

Deep Learning Discovery Large-scale math Fact checking

Human Machine +

#DSES

THANK YOU

https://www.ibm.com/watson

@jbatstone