Abstract: A computer-implemented method comprising receiving and analyzing a data point to determine parameters of the data point, generating an alert ticket based on the analysis of the data point, communicating, via a chatbot, at least some information contained in the alert ticket to one or more users, and categorizing, via the chatbot, the data point that resulted in the alert ticket based on behavior of a device that generated the data point.

Abstract: An apparatus comprises a memory and a processor coupled to the memory. The processor is configured to receive input from a cloud service data source, wherein the input comprises at least one data point, analyze the data point via a machine learning model to determine characteristics indicated by the data point, determine whether the characteristics indicated by the data point meet an alert threshold that indicates a problem in a network, generate an alert ticket when the characteristics indicated by the data point meet the alert threshold, wherein the alert ticket indicates the problem in the network, communicate with a user based on contents of the alert ticket, receive feedback from the user relating to the alert ticket, and train the machine learning model according to the feedback received from the user.

Abstract: A set of data associated with one or more real world conditions is received over at least one wireless network and from one or more sources. It is determined, based at least on a quantity of string instances of the set of data that match each other, that a first subset of the set of data surpasses an interest level threshold. A second subset of the set of data does not surpass the interest level threshold. At least one unique virtual entity is generated for use in a virtual environment of a virtual game based on the first subset of data surpassing the interest level threshold.

Abstract: An apparatus comprises a memory and a processor coupled to the memory. The processor is configured to receive input from a cloud service data source, wherein the input comprises at least one data point, analyze the data point via a machine learning model to determine characteristics indicated by the data point, determine whether the characteristics indicated by the data point meet an alert threshold that indicates a problem in a network, generate an alert ticket when the characteristics indicated by the data point meet the alert threshold, wherein the alert ticket indicates the problem in the network, communicate with a user based on contents of the alert ticket, receive feedback from the user relating to the alert ticket, and train the machine learning model according to the feedback received from the user.

Abstract: A computer-implemented method comprising receiving and analyzing a data point to determine parameters of the data point, generating an alert ticket based on the analysis of the data point, communicating, via a chatbot, at least some information contained in the alert ticket to one or more users, and categorizing, via the chatbot, the data point that resulted in the alert ticket based on behavior of a device that generated the data point.