Abstract: Systems and methods for valuating automation are described. The system computes plurality of parameters associated with process. The plurality of parameters comprises time related parameters and cost related parameters. Further, the system determines a total actual cost saved when an automation is applied on the process based on the time related parameters and the cost related parameters. The system further normalizes the total actual cost saved based on the cost related parameters and a cost of automation maintenance. Further, the system determines a value of the automation based on the total actual cost saved after normalization, qualitative parameters associated with the process and the cost of automation maintenance. The value is categorized into at least one of an automate category, a neutral category and a non-automate category. Based on the categorization, the system selects only relevant automations in order to reduce overload of running unnecessary automations, thereby improving system's performance.

Abstract: A system and method for classifying and resolving software production incident tickets includes receiving an incident ticket, extracting a plurality of keywords from the incident ticket, and deriving a query vector corresponding to the incident ticket based on the plurality of keywords. The system and method further comprises classifying the incident ticket into at least one of a positive mechanization incident ticket and a negative mechanization incident ticket based on a comparison of the query vector and a plurality of vectors derived from a plurality of past incident tickets. The plurality of vectors are derived based on a plurality of keywords and their corresponding occurrences in the plurality of past incident tickets.

Abstract: In one embodiment, an access management system for dynamically managing access to one or more devices for resolution of an incident ticket associated with the one or more devices is disclosed. The access management system comprises a processor and a memory communicatively coupled to the processor. The memory stores processor instructions, which, on execution, causes the processor to identify an incident ticket type by analyzing data associated with the incident ticket. The processor is caused to determine one or more access parameters based on the incident ticket type. The one or more access parameters comprises a device type, an application software run on a device, a system software run on a device, a security privilege to access the device, and time duration to access the device. Further, the processor is caused to provide the access to the one or more devices based on the one or more access parameters.

Abstract: A system and method for classifying and resolving software production incident tickets includes receiving an incident ticket, extracting a plurality of keywords from the incident ticket, and deriving a query vector corresponding to the incident ticket based on the plurality of keywords. The system and method further comprises classifying the incident ticket into at least one of a positive mechanization incident ticket and a negative mechanization incident ticket based on a comparison of the query vector and a plurality of vectors derived from a plurality of past incident tickets. The plurality of vectors are derived based on a plurality of keywords and their corresponding occurrences in the plurality of past incident tickets.

Abstract: This disclosure relates generally to incident management, and more particularly to methods and systems for evaluating an incident ticket. In one embodiment, an incident evaluating device for evaluating an incident ticket is disclosed. The incident evaluating device comprises a processor and a memory communicatively coupled to the processor. The memory stores processor instructions, which, on execution, causes the processor to analyze data associated with the incident ticket. The processor determines completeness of incident resolution of the incident ticket based on the analysis and rates the incident ticket based on the completeness of the incident resolution.

Abstract: System and method for optimizing event alerts in an information technology (IT) infrastructure management system are disclosed. In one embodiment, the method comprises tracking one or more event alerts triggered by monitoring tools. The method further comprises determining a probable usage for at least one configuration item associated with the one or more event alerts. The method further comprises determining a probable threshold value for each of the at least one configuration item based on the probable usage and capacity data. The method further comprises computing a final threshold value for each of the at least one configuration item based on the probable threshold value, seasonality data, or semantic context data. The method further comprises optimizing the event alerts by filtering at least one unwanted event alert from the one or more event alerts based on at least one of the final threshold value and filtering rules.

Abstract: System and method for predicting an event in an information technology (IT) infrastructure are disclosed. In one embodiment, the method comprises obtaining unstructured input data from a SCK database and deriving a seasonality activation function and a capacity activation function by analyzing the unstructured input data. The method further comprises converting the unstructured input data into at least one time series data comprising a plurality of data points. Each of the plurality of data points is separated by a predefined time interval. The method further comprises calculating a moving average for each of the plurality data points and calculating a weighted moving average by aggregating the moving average calculated for each of the plurality of data points based on a predetermined weight. The method further comprises predicting occurrence of the event based on the weighted moving average, the seasonality activation function, and the capacity activation function.