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Architecting the Global Real-time Fraud Prevention with a Performant Data Platform

In this session, Nick Blievers will discuss risk-based authentication leveraging digital identities, real-time customer trust decisions, selecting the right high performance data platform, and machine learning powered at the data layer.
Course info
Level
Intermediate
Updated
Oct 27, 2020
Duration
36m
Table of contents
Architecting the Global Real-time Fraud Prevention with a Performant Data Platform
Description
Course info
Level
Intermediate
Updated
Oct 27, 2020
Duration
36m
Description

Creating the world’s largest digital identity platform requires decisioning based on analysis of data from a number of global sources in real-time. Any digital business, regardless of industry, depends on speed and efficiency to drive operational decisions. Making faster, accurate, and real-time customer trust decisions removes friction and delivers superior business outcomes.

In this session, Nick Blievers, VP Engineering at ThreatMetrix®, will discuss how: Risk-based authentication leveraging digital identities is key to empowering customer transactions, real-time customer trust decisions can reduce fraud and improve customer satisfaction, selecting the right high performance data platform can improve decisioning and avoid spiralling complexity, and machine learning is powered at the data layer.

About the author
About the author

Big Data LDN is the UK’s largest data and analytics conference and exhibition.

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