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Overview
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Explore how entity resolution techniques can strengthen AI-powered anti-fraud systems in this 35-minute conference talk. Examine real-world fraud cases and the sophisticated tradecraft employed by fraudsters, while discovering how to leverage open data sources and cutting-edge technology for detection and prevention. Learn about the critical role of multimodal agentic workflows, including BAML-based approaches, in processing unstructured data sources and executing inference-driven actions. Understand where data professionals can make the most significant impact in anti-fraud efforts and identify opportunities for involvement in this rapidly evolving field. Gain insights into the intersection of entity resolution, AI applications, and fraud prevention strategies that are shaping the future of financial security.
Syllabus
Entity Resolution to Empower Downstream AI Applications in Anti-fraud with Paco Nathan
Taught by
Open Data Science