Northeast Big Data Innovation Hub / Proto OKN Webinar Series Present:
Jeff Jonas : AI for Entity Resolution – The Evolution of the Art
Paco Nathan : ER Meets Knowledge Graphs & Downstream AI Apps
Senzing founder Jeff Jonas and data science expert Paco Nathan recently spoke with Florence Hudson of Northeast Big Data Innovation Hub as part of the Proto Open Knowledge Network (OKN) webinar series.
Listen in as Jonas and Nathan explore how entity resolution is evolving from traditional identity matching to powering intelligent applications across the enterprise.
Jeff Jonas begins by discussing the role of Artificial Intelligence for Entity Resolution (ER). Next, Paco Nathan explores the role of Entity Resolution in knowledge graphs and RAG.
In this fast-moving session, they trace the development of real-time entity resolution, explain what makes the Senzing AI different from GenAI systems, and show how organizations are combining Senzing with graph analytics and domain-specific AI for greater decision intelligence.
From one-click entity resolution and discovery of non-obvious relationships to entity resolved knowledge graphs (ERKG), Jonas and Nathan illustrate how Senzing is becoming the semantic backbone for high-stakes use cases in government, finance, and fraud prevention.
Video Highlights
02:01 – Jeff Jonas: The Evolution of Senzing Entity Resolution
22:08 – Adoption Across Government, Banking and Fraud Prevention
22:28 – How Senzing AI for Entity Resolution Works
27:03 – Paco Nathan: Using Senzing with Knowledge Graphs
40:10 – Senzing as the Semantic Backbone for Downstream AI
