Being AI Ready - Mastercard Global Risk Leadership · Chris Reid Amyn Dhala Vice President, AI...

March 8, 2019

Being AI ReadyCapitalize On Your Organization’s Data

CYBER & INTELLIGENCE SOLUTIONS – WEBINAR SERIES

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Today’s Speakers

Executive Vice President, Cyber & Intelligence

Solutions – North America, Mastercard

Chris Reid Amyn DhalaVice President, AI Express,

Cyber & Intelligence Solutions – Global,

Mastercard

Blaise GisslowBusiness Development,

Brighterion, a Mastercard company

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Expanding from a Payments Network to a Data-Driven Intelligence Provider

Interbank Card

Association created

2010 2008

Mastercard IPO

2006

Payment Transaction Services

Mastercard Reward

Solutions (MRS)

1966 2001 2015 - 2017 2008 2010 20062000

Payments technology consultancy

Mastercard makes 4 transformative

acquisitions in AI and data-driven platforms

For over 50 years...We’ve invested in technology and data platforms to help our partners enhance their capabilities and make better-informed decisions

2003

SpendingPulse™ AI Express

2018

Mastercard launches AI Express, an engagement accelerating customer AI

adoption around target pains

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What is AI?

Artificial Intelligence (AI)Systems that can learn to identify and classify complex patterns in

real-time based on collected data, and utilize those insights to predict with a high degree of accuracy.

Machine Learning (ML)A subset of AI technology that can systematically learn from experience on its own without being explicitly programmed.

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What Makes a Successful AI system?

ABILITY TO PERSONALIZE

ABILITY TO ADAPT TO NEW INFORMATION

ABILITY TO SCALE

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Adaptive Learning: The Flywheel Effect

1

2

3

4

Input Data

Model Development

Enhanced Pattern Recognition

Incremental Learning

AlgorithmsScored Data

Reconciled Outputs

Ongoing Model Refinement Enriched Data

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Scaling Problems Require Scaling Technology

Challenges in today’s landscape are creating the need for AI

Number of connected devices by 20221

50B

EXPLOSION OF CONNECTED DEVICES

90%Of the data that exists

today was created in the past 2 years2

EXPONENTIAL GROWTH OF DATA SETS

100X Increase in data flows in

the next 4-6 years3

ISOLATED DATA REPOSITORIES

1. CISCO, GROWTH OF THE INTERNET OF THINGS 2017 2. IBM, 10 KEY MARKETING TRENDS FOR 2017, 2016 3. MASTERCARD RESEARCH, 2018.

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Pain Points Spotlight

Optimizing product recommendations to

be individually relevant across a massive

customer base is a challenging objective.

Current collections approaches are

reactive in nature. However, by the time

delinquency has occurred, it is often

too late.

Without an all encompassing view of

customers, it is difficult to predict who is an attrition

risk.

Acquirers are vulnerable to risk

vectors ranging from transaction fraud, onboarding, etc.

Product Recommendations

Customer Attrition

Credit Delinquency

Acquirer Fraud

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AI Express Powered by Brighterion

ABILITY TO PERSONALIZE

ABILITY TO ADAPT TO NEW INFORMATION

ABILITY TO SCALE

SMART AGENTS TECHNOLOGY

WORK WITH ANY DATA

MISSION CRITICAL APPLICATIONS AT SCALE

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Brighterion: Industry Leading Artificial Intelligence

Used & trusted by

74 of the 100 largest US banks

75+ Billion transactions

processed and analyzed every year

Reduces False Positives by

10-20x

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Rapidly Develop an AI Model Tuned to Your Needs

AI Express

• Develop a fast proof-of-concept AI model, powered by Mastercard AI technology, that solves your specified business challenge

• Gain hands-on experience and understanding of leading AI tools

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Accelerate from Discovery to Deployment in 6 steps

Business Understanding

Data Understanding

Data Preparation

Modeling Evaluation Deployment Planning

2 3 4 5 61

Determine business

objectives and success criteria

Collect, describe, explore and

validate data (provided by customer)

Select, clean,construct and integrate data

Select modelingtechniques and

determine model building iterations

Evaluate results and review

processes to determine next

steps

Review deployment options and create

a high-level deployment plan

5 – 8 weeks

MASTERCARD AND CUSTOMER PROVIDED MASTERCARD PROVIDED

*CRISP-DM methodology

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Applying AI to Tangible Pain Points

Top 10 Global Issuer

Large Omni-

Channel Retailer

Due to massive customer base and 50+ models, difficult to optimize

product recommendations

Challenging to anticipate credit delinquency risks until

losses already piled up

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Signs You’re Ready for AI

Datasets Customer-owned datasets in any format, from any source, at any volume

Data Analytics Resources

In-house data science or data analytics resources

AI is a strong fit for any organization seeking to supercharge the impact of its data assets and analytical resources

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To get started let’s…Discuss current challenges facing your organization that might benefit from AI

Determine potential stakeholders to include in the process to maximize performance potential

Map-out how AI Express accelerate your AI strategy

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CYBER & INTELLIGENCE SOLUTIONS – WEBINAR SERIES

Thank You! Please contact Vince to learn more about AI Express

Webinar Recording, Deck & Infographic will be Sent Out to All Participants

vince.wong@mastercard.com

Vince WongProduct Manager, North AmericaCyber & Intelligence Solutions