Cisco Technology, Inc.

Raphaël Wouters

David Delano Ward

Hugo Latapie

Enzo Fenoglio

Donald Mark Allen

Dmitri Goloubev

Sawsen Rezig

Didier Colens

Mohammed Hamzeh

Cedric Van Labeke

Peter Van Eynde

Sam Grimee

In one embodiment, a service that monitors a network detects a plurality of anomalies in the network. The service uses data regarding the detected anomalies as input to one or more machine learning models. The service maps, using a conceptual space, outputs of the one or more machine learning models to symbols. The service applies a symbolic reasoning engine to the symbols, to rank the anomalies. The service sends an alert for a particular one of the detected anomalies to a user interface, based on its corresponding rank.

Deep fusion reasoning engine (DFRE) for prioritizing network monitoring alerts

In one embodiment, a device health assessment service extracts device health status indicators from health assessment data that the service uses to determine a device health status of a networking device. The service forms, using the extracted set of device health status indicators, a health status signature for a particular device health status. The service trains a machine learning-based model to classify whether a networking device has the particular device health status, based in part on the health status signature. The service deploys the machine learning-based model to a target network for local device health assessment of one or more networking devices in the target network.

Device health assessment data summarization using machine learning

Growing community of inventors

Lincent, Belgium

Raphaël Wouters