Beyond Fuzzy Matching: How Enterprises Can Actually Solve Entity Resolution at Scale

One of the most persistent challenges across all financial segments is disconnected systems. Inconsistent naming, and manual linking undermine analytics, increase operational risk, and slow decision-making.

This 60-minute webinar will explore how enterprises can move beyond traditional fuzzy matching by combining persistent identifier infrastructure with AI-driven entity resolution to reliably link entities, securities, and instruments across systems and regions.

What we’ll cover

• Why rules-based and fuzzy matching break down as data volume, complexity, and change accelerate
• How cross-reference architecture creates a stable identifier spine, and how AI automates and validates entity linking with confidence and transparency
• How our models adapt across companies, securities, people, and assets, and deliver a 15–30% uplift in matched records with significantly less manual intervention

Why it matters

• 81% of IT leaders say data silos hinder digital transformation
• 75% of organizations struggle to integrate insights across systems
• 87% of data scientists spend more time cleaning data than building model