Webinar

AI Needs to Know Who’s Who: The Role of Entity Resolution in Trusted AI

Your AI is only as reliable as the data behind it.

AI can’t distinguish between records that don’t belong together—or records that should.

When the same customer, supplier, or product exists across multiple systems, your data tells conflicting stories. The result is unreliable insights, inconsistent decisions, and AI outputs you can’t fully trust.

Join Precisely experts to explore the role of entity resolution in creating trusted data at scale. We’ll cover what separates true entity resolution from simple deduplication, how to measure matching accuracy, and why a unified view of your data is becoming a requirement for trusted AI.

You’ll learn:

What separates basic deduplication from true entity resolution—and why the difference matters
How matching and confidence scoring work together to create a trusted view of your data
Why entity resolution is a critical foundation for trusted AI
Practical steps for building entity resolution into your broader data strategy

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