Maschinelles Lernen zur Präventiven Absicherung und Optimierung von Wiederherstellungsmassnahmen
Anmelder: Accenture Global Solutions Limited 🇮🇪
Details
- Veröffentlichungs-Nr.
- EP3367311
- Aktenzeichen
- EP17201033
- Anmeldetag
- 10. November 2017
- Veröffentlichung
- 1. Dezember 2021
- Erteilung
- 1. Dezember 2021
- Rechtsraum
- EP
- IPC
- G06Q10/06G06Q10/00G06N20/00
Abstract
Implementations are directed to receiving behavior data and line parameter data from a plurality of user devices in real-time, each user device being associated with a respective communication line, processing the behavior data and line parameter data through a predictive model, the predictive model having been trained using a set of training data including previously received behavior data and previously received line parameter data, providing at least one risk score for each communication line based on the processing, each risk score representing a likelihood that a trouble ticket for the respective communication line would be opened within a determined temporal period, and selectively performing one or more recovery actions for a communication line based on a respective risk score, the one or more recovery actions being performed to inhibit opening of at least one trouble ticket.
Anmelder
- Firma
- Accenture Global Solutions Limited
- Land
- 🇮🇪 Irland
Beratungs- und IT-Dienstleistungsunternehmen mit Sitz der Konzerngesellschaft in Irland, das Unternehmen bei Strategie, Technologie, Digitalisierung und Betriebsprozessen unterstützt.
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