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ZIM-Kooperationsprojekt will Machine Learning Verfahren zur fehlertoleranten automatischen Dublettenerkennung (Identity Resolution) entwickeln

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Die Pflege von Kunden- und Interessentendatenbanken für Unternehmen und Institutionen künftig zu vereinfachen, ist das Ziel eines gemeinsamen Forschungs- und Entwicklungsprojekts des Instituts für Angewandte Informatik (InfAI) e.V., Leipzig und der Uniserv GmbH, Pforzheim. Beide Partner sind Mitglied in dem bundesweiten GFFT-Kooperationsnetzwerk „Erfolgreiche IT-Großprojekte: Mit System zum Erfolg“.

Fehlertolerante automatische Dublettenerkennung ist Voraussetzung, damit Unternehmen zum Beispiel eine komplette 360°-Sicht auf Kunden und Interessenten herstellen oder personalisierte Kundeninteraktion auslösen können. Dies gilt auch für Analysen auf Haushaltsebene oder um einen Abgleich gegen Sperrlisten zur Betrugserkennung und Risikoabschätzung durchzuführen.

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The publisher indicated in each case (see company info by clicking on image/title or company info in the right-hand column) is solely responsible for the stories above, the event or job offer shown and for the image and audio material displayed. As a rule, the publisher is also the author of the texts and the attached image, audio and information material. The use of information published here is generally free of charge for personal information and editorial processing. Please clarify any copyright issues with the stated publisher before further use. In case of publication, please send a specimen copy to service@pressebox.de.