75% of GenAI projects fail to scale bc models are built on fragmented data. Learn why entity resolution can help in your data architecture.
talk-data.com
Speaker
Gurpinder Dhillon
2
talks
Head of Data Partner Ecosystem & Strategy
Senzing
Dr. Gurpinder Dhillon is the Head of Data Partner Strategy & Ecosystem at Senzing, a company pioneering real-time entity resolution for AI, data management, analytics, and compliance. With two decades of experience spanning data strategy, governance, and intelligent systems, Gurpinder has led enterprise-scale transformation efforts in both startups and Fortune 500s. He is known for translating complex data challenges into trusted, scalable architectures—especially in regulated industries like financial services, public safety, and government. At Senzing, he is focused on growing a global ecosystem of partners and embedding entity resolution into the foundation of next-generation AI and GenAI solutions. A published author, frequent keynote speaker, and former global head of data at Dun & Bradstreet, Gurpinder blends strategic vision with deep operational insight to help organizations unlock value from clean, resolved identity data.
Bio from: Big Data LDN 2025
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75% of GenAI projects fail to scale—not because the models lack sophistication, but because they’re built on fragmented data. If your systems don’t know who they're talking about, how can your AI deliver reliable insights?
This talk unveils how real-time Entity Resolution (ER) is becoming the silent engine behind trusted, AI-ready data architecture. We will discuss how organizations across financial services, public safety, and digital platforms are embedding ER into modern data stacks—delivering identity clarity, regulatory confidence, and faster outcomes without the drag of legacy MDM.
You’ll learn:
- Why ER is foundational for AI trust, governance, and analytics
- Patterns for embedding ER into streaming and event-driven architectures
- How ecosystem partners and data platforms are amplifying ER value
- How to build trust at the entity level—without slowing down innovation
Whether you’re modernizing architecture, launching AI programs, or tightening compliance, this session will equip you to embed trust from the ground up.