BIG DATA ANALYSIS OF LINKED DATABASES BECOMING MORE FEASIBLE AS SERVICE PROVIDERS FOCUS ON AUTHENTICATION, STANDARDISATION AND AI
March 2nd, 2020
NEW fraud detection solutions based on a “centralised management platform across all lines of business” are being made more feasible by new financial industry customer authentication standards, research indicates. These allow a consortia of organisations’ data (or data from previously siloed wings of one major institution) to be pooled, allowing bulk analysis of big data, helping update algorithms, encouraging anti-fraud system vendors to offer cross-functional services as clients seek to consolidate contracts and end silo-based approaches to counter-fraud ...
Full access to this article can be arranged with permission from the client that first ordered it. Please contact us to request access. Entries are uploaded to our archive at least one year after being published by a client – free access is restricted to International News Services journalists for background research only. The article date indicates when copy was filed to a client, not when posted to this archive. Upon client requests, International News Services will remove such articles from the archive or not upload them in the first place. They are included to demonstrate the breadth of topics undertaken by the agency and also to help promote clients’ coverage.