Abstract: Methods, non-transitory computer readable media, and resource management apparatuses that assist with sharing an input/output device for process automation on a computing machine includes receiving a plurality of surface automation requests to use an input device or an output device for surface automation. A priority is assigned to each of the received plurality of surface automation requests based on one or more characteristics associated with each of the plurality of surface automation requests. A surface automation request with a highest priority from the received plurality of surface automation requests is identified. An access to use the input device or the output device is provided to the identified surface automation request from the received plurality of surface automation requests.

Abstract: Methods, non-transitory computer readable media, and resource management apparatuses that assist with sharing an input/output device for process automation on a computing machine includes receiving a plurality of surface automation requests to use an input device or an output device for surface automation. A priority is assigned to each of the received plurality of surface automation requests based on one or more characteristics associated with each of the plurality of surface automation requests. A surface automation request with a highest priority from the received plurality of surface automation requests is identified. An access to use the input device or the output device is provided to the identified surface automation request from the received plurality of surface automation requests.

Abstract: A computer implemented method to optimize system process is disclosed. The received one or more input data is transformed into a predefined format based on transformation rules. The transformed one or more input data is analyzed at an analyzer, based on one or more pre-defined rules associated with a rule engine. A result associated with an inference is generated at the inference generator, from the analyzed one or more input data, based on automation rules. The generated inference may be one of a positive or a negative. When the generated inference is positive, one or more processes associated with the customer service optimization is simulated at the optimization engine, through a graphical processor. The result of the inference generator and the optimization engine are checked against the one or more processes. The result of the inference generator and the optimization engine may be stored at the data repository.