The ai Corporation Ltd ©2016 www.aicorporation.com

PAYMENTS INTELLIGENCE TO ENRICH, PROTECT AND GROW YOUR BUSINESS

The ai Corporation

Man vs Machines in The World of Fraud

DT Fraud Conference 2017 – Banking and Payments

The ai Corporation Ltd ©2016 www.aicorporation.com

Today we service;

• 100 banks worldwide

• 3 million merchants

(including the world’s largest)

• 300 million cards

• 20 billion+ transactions

worldwide

The ai Corporation Ltd ©2016 www.aicorporation.com

False

Declines

$116+ Billion

Identity

Fraud

$660 Million

Internal

Fraud

40 Million Customers

The ai Corporation Ltd ©2016 www.aicorporation.com

The ai Corporation Ltd ©2016 www.aicorporation.com

Single

Channel

Multi

Channel

Cross

Channel

Omni

Channel

The ai Corporation Ltd ©2016 www.aicorporation.com

Inattentional Blindness

Availability Bias

Clustering Illusion

Herd Instinct

Default Effect

Status Quo Bias

Decision Fatigue

ConfirmationBias

Social Loafing

Paradox of Choices

The ai Corporation Ltd ©2016 www.aicorporation.com

Inattentional Blindness

The ai Corporation Ltd ©2016 www.aicorporation.comVisual Attention Lab – Harvard Medical School

The ai Corporation Ltd ©2016 www.aicorporation.com

The ai Corporation Ltd ©2016 www.aicorporation.com

Analysis & Definition

Data Preparation

Data Analysis & Modelling

Analysis & Implementation

The ai Corporation Ltd ©2016 www.aicorporation.comSparks – University of Oxford

The ai Corporation Ltd ©2016 www.aicorporation.com

ScopeOutput ImplementationExpertise Speed

The ai Corporation Ltd ©2016 www.aicorporation.com

Case Study: Regional Card Issuer

Problem Statement:

• Adequate Fraud Detection Rate

• Excessive Referral/False Positive Rate

• Large manual overhead

The ai Corporation Ltd ©2016 www.aicorporation.com

Credit & Debit Portfolios covered

5 distinct rule sets based upon transactional elements

For example, cross-border transaction rule set

80 Rules in total

The ai Corporation Ltd ©2016 www.aicorporation.com

Freqency of Updates

Increase Fraud Detection 10%

75% Reduction in False Positives

Monthly complete refresh of rule set

Increase Accuracy

Speed of Implementation 90% Reduction in Analyst Time

Source: The ai Corporation

The ai Corporation Ltd ©2016 www.aicorporation.com

The ai Corporation Ltd ©2016 www.aicorporation.com

The ai Corporation Ltd ©2016 www.aicorporation.com

“We should let the human brain do what

it is good at, and let computers do what

they are good at - marrying the two is a

powerful thing.”

Dr Robert Frey

Professor State University Of NY

Former MD Renaissance Technologies

The ai Vision : Man + Machine

The ai Corporation Ltd ©2016 www.aicorporation.com

@ai_worldwide

The ai Corporation