Latest Agenda

AI Fraud & AML Summit

13th February 2020
(ST JAMES COURT, A TAJ HOTEL, London)

8:30 AM

REGISTRATION & MORNING COFFEE

9:00 AM

CONFERENCE CHAIR’S OPENING REMARKS

Session 1

9:10 AM

OPENING POWER HOUR – PANEL SESSION

10:10 AM

KEYNOTE BY NICE ACTIMIZE

Commoditizing Machine Learning: Moving Past the Buzzword to Better Detection

Abstract:
The way we fight financial crime is rapidly evolving – forcing Financial Service Organizations to seek innovative ways to combat and stay ahead of the shifting criminal landscape. Machine Learning has become the prevalent approach to solve this issue. But, is your organization utilizing ML to its maximum potential? The strategic use of ML can be a powerful tool in making your financial crime solutions and organization more efficient. In this session, we will be sharing what we’ve learned from our clients regarding:
Optimization of Business Process – How to use Machine Learning at different points of the detection process
Model Governance– How to satisfy model governance requirements in the AI world
Leveraging an Industry-Wide View – How to use the power of many to identify new threats earlier

10:35 AM

HOW KBC APPLIES AI TO ITS AML EFFORTS

11:00 AM

A Digital Workforce for faster and more secure transactions checks

Vincenzo Marchica | CEO | Vincix Group

Session 2

11:20 AM

KEYNOTE BY RABOBANK

Dynamic Customer monitoring using AI techniques

11:40 AM

KEYNOTE BY SYNECTICS SOLUTIONS

12:05 PM

KEYNOTE BY RSA SECURITY

12:30 PM

KEYNOTE BY BUGUROO

Are you ready to know if any of your existing customers are Fraudsters?

13:00 PM

NETWORKING LUNCH

Session 3

14:00 PM

KEYNOTE BY FEATURESPACE

Fraud & AML Convergence – The challenges and how technology can overcome them:

  • Why convergence is such a hot topic
  • The challenges for banks looking to converge and how technology can address them:
  • System and data
  • Roles and permissions
  • Personnel challenges
  • 14:30 PM

    Product Demo By Bleckwen

    14:45 PM

    KEYNOTE BY FCASE

    Fraud prevention has many layers, each with its own view, however, fraudsters attack across all layers.
    With fcase holistic fraud investigations, you can now manage all fraud from one mission control.

    15:10 PM

    KEYNOTE BY SPAREBANK 1

    Machine learning based AML rule generation

    15:35 PM

    KEYNOTE BY FACE POINT

    Picture Intelligence

    Identity Verification and AML Watchlists

    Limitations and Failures in Alphanumeric Screening

    The Confluence of AI and Biometrics to Transform Screening

    16:00 PM

    NETWORKING AND COFFEE BREAK

    Session 4

    16:20 PM

    KEYNOTE BY RDC

    Lmitating KYC analyst decisions using AI: Results from a major bank

    • Using machine learning to turn human risk analyst decisions into the first predictive model for customer screening
    • Tuning the model according to a financial institution’s unique risk analyst decisions: results at a major bank
    • Automating false positive reduction with confidence
    • Working with regulators on emerging technologies and processes

    16:45 PM

    KEYNOTE BY FMLI

    Richard Parlour | Principal | Financial Markets Law International

    17:10 PM

    NETWORKING AND COFFEE BREAK

    17:30 PM

    CONFERENCE CHAIR’S CLOSING REMARKS

    Yannis Kalfoglou | Head of AI | Pa Counsulting Group

    17:40 PM

    END OF CONFERENCE