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The difference between Machine Learned models and Machine Learning models

Dave Excell, Featurespace Founder, discusses Adaptive Behavioral Analytics, founding Featurespace and how Machine Learning is vital to staying ahead of criminals.

Dave Excell joins One World Identity's 'State of Identity' Podcast to discuss the story behind his career into behavioral analytics, the difference between machine learned models and machine learning models, and tackling synthetic identity fraud.

Listen to the whole episode here.

Discover ARIC for Anti-Money Laundering

The ARIC platform combines adaptive behavioural analytics and anomaly detection to automatically identify risk and catch new attacks as they happen. 

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About Featurespace – www.featurespace.com

Headquartered in the U.S. and U.K. and with offices in Atlanta, Cambridge and London, Featurespace™ is the world-leader in fraud prevention and creator of the ARIC™ platform, a real-time AI machine learning software that risk scores events in more than 180 countries.

The ARIC platform combines adaptive behavioural analytics and anomaly detection to automatically identify risk and catch new attacks as they happen. The increased accuracy of understanding behavior strikes the balance between improving fraud and risk detection and operational efficiencies, while also reducing the number of genuine transactions that would be incorrectly declined by as much as 70 percent.

Media Inquiries
Michael Touchton, Featurespace
U.S. Marketing Manager
Email

+1 (423) 364-5491