In any task that requires screening or matching names — whether it’s watchlist screening for financial compliance, pulling up patient health records by name, or screening passengers against a no-fly list — accuracy is paramount, but elusive. Why? Everyday millions of name searches get back results that contain up to 90% false hits, which obscure the few true matches — wasting time and labor.
The reason for the low accuracy is that regular search algorithms — such as those in internet search engines — are not made to match and screen for names, which have a completely different set of requirements for achieving accurate matching.
Learn more by joining our webinar, AI Stories of Innovation: Why “Vanilla” Search Can’t Handle the Nuances of Name Screening on Tuesday, December 14 (2pm ET/11am PT). Listen in on a 15-20 minute conversation with financial industry veteran Carlos Azeglio and solutions engineer Patrick Deeb to learn:
- How regular search algorithms are not made to match and screen for names
- The difference between regular internet search and our very specialized name screening approach needed to accurately detect matching names
Join us for the second in our new monthly mini-webinar series, AI Stories of Innovation!