This isn’t just a data quality session. It’s a look at the Identity Intelligence layer your data quality program is missing. 

You’ve been working to dedupe, standardize, and build the golden record. But one customer, patient, or counterparty still shows up as five different records across five different systems, all disagreeing with each other. That’s not a hygiene problem; it’s Identity Chaos. 

This session will show you exactly how this gets solved: Continuous Identity Intelligence — a real-time, explainable layer that resolves who’s who and who’s connected to whom, so fraud detection, customer 360, and compliance screening finally work from the same ground truth. 

You’ll see how Senzing: 

1. Resolves messy, real-world data with zero rules written — no match-rule authoring, no threshold-setting, no configuration before we start 
2. Self-learning, self-correcting — as new records arrive, earlier conclusions are revised on the fly, no waiting on a batch job to catch up 
3. Identifies non-obvious relationships — hidden connections, like shared addresses, phones, and employers, that link entities, not just match records 
4. Explains the decision, not just asserts it — why that match was made, why a similar-looking record wasn’t, traced back to the source records, not a black box 

Speaker: Gurpinder Dhillon, Head of Data and AI, Senzing 

Dr. Dhillon is Head of Data and AI at Senzing, where he leads the company’s data and AI strategy for entity resolution and identity intelligence. He previously served as Senior Vice President of Data and AI Solutions at Dun & Bradstreet, where he led initiatives in identity resolution, master data management, and decision intelligence. 

Dr. Dhillon holds a doctorate in data management and decision intelligence and is the author of Think Data, Act AI (2025). 

Speaker: Jeff Butcher, Cofounder & Chief Software Architect, Senzing 

Jeff Butcher is Cofounder and Chief Software Architect at Senzing, where he leads the technical architecture behind the company’s entity resolution and identity intelligence technology. Based in Las Vegas, Jeff has been with Senzing since its founding, helping shape the software that lets organizations understand who is who and who is related to whom across their data.  

Website: https://senzing.com/