Abstract: An analytics and device management platform includes a computer processor and instructions executing on the computer processor and causing the platform to obtain metrics from at least one endpoint. Each of the metrics is a quantification of a phenomenon detected in at least one of audio and video data obtained from an endpoint facilitating communication between meeting attendees. The instructions further cause the platform to generate indicators based on the metrics. Each of the indicators is a numeric descriptor derived from at least one of the metrics, and each of the indicators is of potential relevance to a user of the platform to inform a decision by the user. The instructions also cause the platform to determine at least one insight based on the indicators. The at least one insight is an indicator determined to be of relevance to the user to inform the decision.

Abstract: A method for dynamically allocating MCU resources during a multipoint network event such as a conference call. The method determines the number of MCU resources to allocate for the start of the multipoint network event and then at each of a plurality of modeling intervals during the multipoint event adjusts the number of allocated MCU resources based upon actual inbound users. Self-tuning of the allocation of MCU resources for multipoint events occurs in advance of use by providing a look ahead allocation of resources based on what is likely to be needed in the future for a conferencing event. The number of multipoint events occurring within a tuning interval are counted. The number of MCU resources actually utilized during each multipoint event are accumulated and then a probability value is determined for future use of MCU resources for an upcoming multipoint event.

Abstract: A method for dynamically allocating MCU resources during a multipoint network event such as a conference call. The method determines the number of MCU resources to allocate for the start of the multipoint network event and then at each of a plurality of modeling intervals during the multipoint event adjusts the number of allocated MCU resources based upon actual inbound users. Self-tuning of the allocation of MCU resources for multipoint events occurs in advance of use by providing a look ahead allocation of resources based on what is likely to be needed in the future for a conferencing event. The number of multipoint events occurring within a tuning interval are counted. The number of MCU resources actually utilized during each multipoint event are accumulated and then a probability value is determined for future use of MCU resources for an upcoming multipoint event.