Patent classifications
H04L41/5061
Service Action Guidance Engine (SAGE)
Novel tools and techniques are provided for implementing service diagnostics and provisioning via a service action guidance engine (“SAGE”). In various embodiments, SAGE may autonomously analyze data to identify any issues with provisioning one or more first services, among a plurality of services, to a first customer of a service provider. SAGE may autonomously identify one or more first automation actions from a plurality of automation actions to address at least one first issue identified based on the analysis, and may autonomously send one or more first instructions to one or more first automation bots, among a plurality of automation bots, to perform the identified one or more first automation actions. SAGE may also generate and present one or more guidance messages to call center users to guide interaction between customers and the call center users, based on analysis data associated with provisioning of services to the customers.
Service Action Guidance Engine (SAGE)
Novel tools and techniques are provided for implementing service diagnostics and provisioning via a service action guidance engine (“SAGE”). In various embodiments, SAGE may autonomously analyze data to identify any issues with provisioning one or more first services, among a plurality of services, to a first customer of a service provider. SAGE may autonomously identify one or more first automation actions from a plurality of automation actions to address at least one first issue identified based on the analysis, and may autonomously send one or more first instructions to one or more first automation bots, among a plurality of automation bots, to perform the identified one or more first automation actions. SAGE may also generate and present one or more guidance messages to call center users to guide interaction between customers and the call center users, based on analysis data associated with provisioning of services to the customers.
Facilitating and provisioning customer broadband transport service
A system and method for facilitating and provisioning customer broadband transport service between a digital communication port employing digital communications and at least one communications provider, including communicating with a provisioning server to establish service and to coordinate service offerings of one or more communication providers.
Facilitating and provisioning customer broadband transport service
A system and method for facilitating and provisioning customer broadband transport service between a digital communication port employing digital communications and at least one communications provider, including communicating with a provisioning server to establish service and to coordinate service offerings of one or more communication providers.
Switch controller for separating multiple portions of call
Disclosed herein are systems, methods, and non-transitory computer-readable storage media for collecting call data, feeding call data to applications, and providing advanced call features.
SYSTEM, METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR PROVIDING MOBILE DEVICE SUPPORT SERVICES
A method is provided for providing mobile device support services. The method may include monitoring a mobile device status. The method may additionally include performing device diagnostics based at least in part on captured deice status data to identify potential faults that may affect mobile device functionality. A corresponding system, apparatus, and computer program product are also provided.
FACILITATING AND PROVISIONING CUSTOMER BROADBAND TRANSPORT SERVICE
A system and method for facilitating and provisioning customer broadband transport service between a digital communication port employing digital communications and at least one communications provider, including communicating with a provisioning server to establish service and to coordinate service offerings of one or more communication providers.
FACILITATING AND PROVISIONING CUSTOMER BROADBAND TRANSPORT SERVICE
A system and method for facilitating and provisioning customer broadband transport service between a digital communication port employing digital communications and at least one communications provider, including communicating with a provisioning server to establish service and to coordinate service offerings of one or more communication providers.
Knowledge management using machine learning model trained on incident-knowledge relationship fingerprints
Client instance data including a plurality of incidents and a plurality of knowledge elements comprising information relating to resolving one or more of the plurality of incidents is obtained. A validation set is built based on the obtained client instance data, the validation set including fingerprint data of plural fingerprints of known incident-knowledge relationships, each of fingerprint representing a link between one of the incidents and one of the knowledge elements used for resolving the incident. A knowledge element class is predicted from among plural knowledge element classes for each of knowledge element based on the built validation set, the plural knowledge element classes being defined based on respective threshold values indicating a quality of coverage provided by a knowledge element for resolving an incident. Classification data of the plural knowledge elements classified into the plural knowledge element classes is presented with the obtained client instance data.
Knowledge management using machine learning model trained on incident-knowledge relationship fingerprints
Client instance data including a plurality of incidents and a plurality of knowledge elements comprising information relating to resolving one or more of the plurality of incidents is obtained. A validation set is built based on the obtained client instance data, the validation set including fingerprint data of plural fingerprints of known incident-knowledge relationships, each of fingerprint representing a link between one of the incidents and one of the knowledge elements used for resolving the incident. A knowledge element class is predicted from among plural knowledge element classes for each of knowledge element based on the built validation set, the plural knowledge element classes being defined based on respective threshold values indicating a quality of coverage provided by a knowledge element for resolving an incident. Classification data of the plural knowledge elements classified into the plural knowledge element classes is presented with the obtained client instance data.