About this talk
In this session at NODES AI, Artem Sentsov discusses "Building a Cross-Border Knowledge Graph: AI Powered Entity Resolution & Risk Detection". The talk addresses the challenges posed by fragmented and opaque official registries in Central Asia, which hinder effective cross-border risk analysis. The speaker presents how ClearPic.ai developed a unified Knowledge Graph by aggregating and normalizing data from seven jurisdictions over five years, utilizing machine learning-driven entity resolution and natural language processing pipelines. Attendees will learn about the limitations of traditional SQL queries in investigative scenarios and how techniques such as edge-weighted graph traversal and probabilistic matching can uncover hidden relationships and beneficiaries. The session also highlights the significant operational impacts of implementing graph-based intelligence, including drastically reduced investigation times and enhanced detection capabilities for high-risk entities, offering a new level of transparency and risk visualization.
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