75% of GenAI projects fail to scale bc models are built on fragmented data. Learn why entity resolution can help in your data architecture.
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Speaker
Gurpinder Dhillon
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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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