SENIOR EXECUTIVE | CONSULT HYPERION

This panel session will discuss about Opportunities & Challenges in Using AI to Detect Fraud Across Industry Verticals, Benefits and Risk Involved in AI-powered Fraud Detection, how AI is transforming the Anti-Money Laundering Challenge and how Banks are transforming the way customers register and access Digital Banking and Why some organizations are more prepared for it then others. Does using AI in financial fraud detection can help banks save unnecessary losses.

HEATHER ALLEN | DEPUTY DIRECTOR OF FINANCIAL CRIME, SVP | TRUIST THOMAS J MANGINE | VP, CAPITAL MARKETS, AML | BMO FINANCIAL GROUP RESERVED FOR SPONSOR (TBC)

– How to most effectively use machine learning to counter fraud and optimise detection rates.
– The difference in supervised versus semi-supervised machine learning and how they fit into your organisation.

SENIOR EXECUTIVE | EKATA INC

SENUIOR EXECUTIVE | EXPERIAN

DONNA BEATY | DIRECTOR DIGITAL IDENTITY – SOLUTION PROPOSITION STRATEGY | LONDON STOCK EXCHANGE GROUP

• History of the criminal: From bank robberies, heists and shootouts to cyber crime.
  How the modern criminal uses technical expertise to accomplish their goals: cybercrime has become big business
• Evolving with technological and environmental changes to catch criminals
• Criminal Profiling: machine learning and behavioural biometrics have made it much cheaper/faster to catch criminals.
• Can businesses take advantage of these innovations whilst still deriving real business value.

JASCHA PROSIEGEL | MARKET LEAD NORTH AMERICA, AI RISKS | MUNICH RE

Detecting and preventing fraud is a huge challenge for the Financial industry, given the large variety of fraud types and the volume of transactions that need to be reviewed, and manual or rules-based systems can’t keep up.

(RESERVED FOR SPONSOR)

• Where AI solutions are most helpful in solve regulatory compliance, with specific focus on financial crime related legal & regulatory obligations?
• The role of RegTech in reducing inefficiency/ ineffective Financial Crime processes.
• Barriers and obstacles to using AI. Overcoming challenges.
• Future focus – keeping up with AI and Financial Crime risks in an evolving regulatory landscape.

NEMI SHAH | DATA MANAGEMENT ADVISORY, DATA & ANALYTICS ,OMNI DIGITAL SERVICES| BNY MELLON

Fraud mitigation in real-time using artificial intelligence (AI) can provide an immediate return on investment. Thus, AI investment in finance is mostly targeted at fighting fraud and money laundering. In this session we will be highlighting three cases of AI deployment for financial cybersecurity, with a view to discovering different approaches to detecting payment fraud, loan fraud and customer onboarding fraud.

How will self-sovereign identity systems provide scalable, flexible, private interactions with consent? What does identity and privacy mean in the digital world, and how might technology play a role? How will Technology solve the problem of protecting and proving a person’s identity more efficiently with self-sovereign ID?

ROBERT WILLIAM| FORMER ASSOCIATE DIRECTOR U.S. SANCTIONS PROGRAM MANAGEMENT | STANDARD CHARTED BANK

VAISHALI LAMBE | FUNCTIONAL CONSULTANT[PM] EMERGING SOLUTIONS | UBS SENIOR EXECUTIVE (TBC)

What are the challenges while verifying digital identities?
What are the benefits for the:
-Consumers
-Businesses
-Regulators
What are the authentication steps followed while using diferent technologies to verify the identity of a person?

RESERVED FOR SPONSOR (TBC)

ROBERT WILLIAM| FORMER ASSOCIATE DIRECTOR U.S. SANCTIONS PROGRAM MANAGEMENT | STANDARD CHARTED BANK

SENIOR EXECUTIVE (TBC)