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 WongProduct Manager, North AmericaCyber & Intelligence Solutions