• 08:00

    WELCOME & INTRODUCTION

  • 08:05

    Deep Learning for Anomaly Detection

  • 08:20

    Advancements in Reducing False Positives

  • 08:35

    Creating Effective AI Architectures & Engineering Practices for Fraud Detection

  • 08:50

    Adapting to Unforeseen Fraud Tactics with Machine Learning

  • 09:05

    BREAKOUT SESSIONS: Roundtable Discussions with Speakers

  • 09:45

    PANEL: Opportunities & Challenges in Using AI to Detect Fraud Across Industry Verticals

  • 10:25

    MAKE CONNECTIONS: Meet with Attendees Virtually for 1:1 Conversations and Group Discussions over Similar Topics and Interests

  • 11:00

    END OF SUMMIT

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