Verizon Patent and Licensing Inc.

Pritam Bedse

Rajat Sharma

Senthil Muthusamy

Travis R McLaren

Srinivasan Krishnamurthy

Sailesh K Mishra

Anil Krishna Guntupalli

Vipul Jha

Mukunda Raju

Sumit Singh

Safwan Aly

Jesus Martinez

Javier Martinez

Nageswara Raju Dachiraju

Mukaram Aziz

Richard J Worthington

Kanagaraj Vengidasamy

Bhanu Rongali

Philip A Jenkins

Sridhar Musunuru

Williams Rajkumar

Venkateswararao Godavarti Veera

Vinod Khanna Saini Ganesh

Pavani Kamalapuram

John Benjamin Lertola

John Russo

Khagender Arrekuti

Rishi Kanth Chitti

Viswas Ventrapragada

A device may receive, from a customer platform, customer event data identifying events occurring between customers and an entity, and may receive, from the customer platform, customer action data generated by machine learning models and identifying customer actions to be taken by the customer platform in response to the occurrence of the events. The device may receive, from the customer platform, customer results data identifying results of the customer actions taken by the customer platform, and may calculate current key performance indicators based on the customer event data, the customer action data, and the customer results data. The device may retrain one or more of the machine learning models based on the current key performance indicators to generate one or more retrained machine learning models, and may provide the one or more retrained machine learning models to the customer platform.

Systems and methods for measuring and validating key performance indicators generated by machine learning models

A platform can receive information regarding a user interaction, wherein the user interaction is associated with one or more channels that correspond to respective interfaces or media for the user interaction; retrieve supplemental information associated with the user interaction, wherein the supplemental information relates to at least one of: a state of a managed device associated with the user interaction, or a previous user interaction; identify, based on the information regarding the user interaction or the one or more channels, one or more models to process the information regarding the user interaction and the supplemental information, wherein the one or more models are identified from a plurality of models; determine, using the one or more models, an action to be performed with regard to the user interaction; and provide information identifying the action.

Interpretation of user interaction using model platform

One or more devices may receive activity logs from multiple set-top-boxes (STBs); determine that an outage has occurred based on the activity logs; identify one or more STBs, of the plurality of STBs, that failed to play back paid content during the outage, or where playback of paid content, by the one or more STBs, was interrupted during the outage; and credit corresponding accounts associated with the one or more STBs.

Automated account crediting after interruption or failure of paid content delivery

An approach is provided for utilizing role-based presentation interfaces. A role of a user among a plurality of roles is determined. The user is among a plurality of users that are grouped based on the roles. A presentation interface is populated with sales related information based on the determined role.

Method and apparatus for role-based presentation of information

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Coppell, TX, United States of America

Pritam Bedse