BigML and our expert partner on Fraud Detection, INFORM GmbH, jointly present how to detect fraud using a Hybrid AI strategy. The webinar showcases the RiskShield Machine Learning solution, a world-class risk assessment, fraud prevention, and Anti-Money Laundering (AML) compliance monitoring solution built on top of the BigML platform to protect any organization against financial crime. Please visit the event page for more details: https://bigml.com/events/online-webinar-machine-learning-fights-financial-crime

1. MACHINE LEARNING
FIGHTS FINANCIAL CRIME
Detecting Fraud with Hybrid AI –
moving from lab to production
INFORM Risk & Fraud
Atakan Cetinsoy
VP, Predictive Applications
28 October 2020
Privacy Notice: This Document and it's content is the absolute property of INFORM GmbH and/or it's subcontractors. The reproduction, distribution and
utilization of this document as well as the communication of it's contents to others without express authorization is prohibited. Offenders will be held liable
for the payment of damages. All rights reserved in the event of the grant of a patent, utility model or design.

2. Today’s Speakers
Dr.

3. Today’s Agenda

4. BigML Adoption Worldwide
.
https://bigml.com/accounts/register/

5. BigML Use Cases Across Industries

6. Card Fraud is On the Rise Globally
• Credit, debit, and prepaid cards generated
$40.6 trillion in purchases, advances, and
withdrawals in 2018 (+17.7%).
• Meanwhile global card fraud losses reached
$27.9 billion (+16.2%).
• In total, card-based payment systems
experienced a decline to 6.86 cents of fraud for
every $100 of card activity.

7. Card Fraud Detection Challenges
• High data volumes with high
dimensionality
• Adversarial nature of the problem
• Fraudsters also use technology
to further their exploits
• Global problem with geographical
nuances

8. MACHINE LEARNING
FIGHTS FINANCIAL CRIME
Detecting Fraud with Hybrid AI –
moving from lab to production
INFORM Risk & Fraud
Dr. Kevin Nagel
Consultant / Data Scientist
kevin.nagel@inform-software.com
28 October 2020
Privacy Notice: This Document and it's content is the absolute property of INFORM GmbH and/or it's subcontractors. The reproduction, distribution and
utilization of this document as well as the communication of it's contents to others without express authorization is prohibited. Offenders will be held liable
for the payment of damages. All rights reserved in the event of the grant of a patent, utility model or design.

9. MANAGE RISK & FIGHT FRAUD
WITH PINPOINT ACCURACY
Payments Cards & Merchants Insurance AML Compliance Telecommunication

14. DIGITAL
DECISION
MAKING

25. Summary
1. = Auto Feature Engineering
+ Evolving Machine Learning
2. Transition from Lab to Production
3. Digital Decision Making

26. Want to know more?
riskshield@inform-software.com