CENTRALIZED SOURCE PLATFORM FOR PERFORMANCE BENEFITS

Methods, systems, and computer-readable storage media for forecasting an engagement index score. A trained machine learning model is executed to forecast a set of engagement index score for a respective set of entities based on provided data for the set of entities. The data includes performance pro...

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Bibliographische Detailangaben
Hauptverfasser:	Jayaram, Sangeetha, Chinnadurai, Easwer, Pallail, Gayathri, Anderson, Colin, Sundaresan, Santosh, Marwaha, Ruchi, Mendonca, Briana Claire, Scheer, Ilhan, Tanniru, Rajendra Prasad, Iyer, Sangeeta S, Shook, Ellyn Jo
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	Methods, systems, and computer-readable storage media for forecasting an engagement index score. A trained machine learning model is executed to forecast a set of engagement index score for a respective set of entities based on provided data for the set of entities. The data includes performance properties of each entity of the set. In response to the executing the trained machine learning model, a set of influencing factors is determined based on the engagement index scores of the set of entities. Actions are identified to be performed in association with the set of entities based on the identified influencing factors. The actions are provided for display at a display of a device.