Anti-Fraud Platform: A Big Data Approach

In this webinar, we will delve into cutting-edge rule-based, explainable AI, and graph study technologies in the context of combating fraud. In an era when financial fraud and cyber threats are evolving at an unprecedented pace, staying one step ahead requires innovative and transparent approaches.
Data Reply will guide you through the complexities of these technologies and how they are revolutionising anti-fraud efforts. We will explore how rules-based systems, with their clear and interpretable logic, improve decision-making processes, resulting in more accurate and actionable fraud detection.
We will uncover the transformative potential of explainable AI by demystifying black-box models and showing how they enable fraud analysts to understand the reasoning behind AI-driven decisions. Additonally, we will gain insights into the critical roles of transparency, accountability, and compliance in fraud prevention.
We will also explore the world of graph study technologies, illustrating how they provide a holistic view of the interconnected relationships between entities. This capability helps detect complex fraud networks that often elude traditional methods.