Transforming data with entity resolution: Interview with Paco Nathan

Messy data leads to missed connections. Without entity resolution, organizations face fragmented datasets, duplicated records, and unreliable insights. Skipping this step, or doing it poorly, can lead to false positives, overlooked relationships, and flawed algorithms. In this video, Paco Nathan, Principal Developer Relations Engineer at Senzing, explains why entity resolution is foundational to trustworthy, connected data. Our guest unpacks: - The real risks of ignoring entity resolution - How graph-based approaches naturally complement this process - What “evidence overlays” look like in practice - Why data quality and provenance matter Whether you're investigating shell companies or preparing your data for AI, this conversation explains how to go from scattered records to structured relationships, and why that transformation starts with entity resolution. Learn more about entity resolution: https://linkurious.com/what-is-entity-resolution/