About the Webinar
Every organization struggles to answer one deceptively simple question: “Who is who?” Imagine you’re presented with Beth Reston, born 3/4/2001. Is she new to your organization, or already known to you—and if so, how? Would you have found Elizabeth Smith-Reston (her maiden name), born 4/3/01, with the month and day transposed? Missing a record that exists carries one kind of consequence. Mistakenly linking the wrong person—a false positive—is often far worse. As AI-powered applications and agentic systems become increasingly embedded in justice workflows, the quality of entity resolution has never been more important. AI can amplify both good and bad identity decisions, making trusted entity resolution the foundation for accurate, explainable, and mission-critical outcomes. From justice and public safety to fraud prevention and citizen services, accurate entity resolution underpins mission-critical decisions. Whether identifying eligible records, uncovering fraud, or ensuring individuals are treated fairly, knowing “who is who” is foundational. Jeff Jonas will walk through entity resolution from the ground up, illustrated with practical use cases, including:
- NORA (Non-Obvious Relationship Awareness), Jonas’ original work for the Las Vegas casinos, which had to outsmart clever, bad actors using fabricated identities.
- Code for America’s implementation of the Clean Slate Act, under which state agencies are legally required to identify and clear millions of eligible records—work complicated by messy data and unreliable identifiers.
- Fraud detection for USCIS, where U.S. Citizenship and Immigration Services used entity resolution to uncover immigration fraud committed by applicants and their representatives across messy, disconnected source systems—identifying more fraud, improving analyst efficiency, and cutting costs.
And now, in this new era of GenAI and agentic systems, what’s happening in entity resolution is spectacular. Deploying it has never been easier or more affordable—placing technologies once reserved for elite organizations within reach of even the smallest. Join globally recognized data scientist and Senzing CEO Jeff Jonas for an engaging look at how entity resolution has evolved, how AI and agentic systems are redefining what’s possible today, and what justice and public sector leaders should understand to prepare for what’s next.
Key Takeaways:
- How modern entity resolution works
- Why entity resolution is foundational for AI and agentic systems
- Entity resolution failure modes—under-matching and over-matching—and the consequences of each
- How entity resolution relates to identity graphs and identity intelligence
- The current state of agentic entity resolution
- Where entity resolution is heading in the AI and agentic era
- How to measure mission impact and return on investment (ROI) of entity resolution-centric projects
- Considerations for privacy and civil liberties protections
- An expanded view of the wide range of use cases dependent on entity resolution
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