Abstract: This disclosure relates generally to systems and methods of operating systems and more particularly to systems and methods for a smart operating system for integrating dynamic case management into a process management platform. In one embodiment, a computer-implemented dynamic case management method includes creating a plurality of lightweight stateless computing processes; placing the processes in a WAIT state; receiving a request to initiate a process instance corresponding to a lightweight stateless process; placing at least one of the processes in an EXECUTING state; processing the process instance by the processes placed in the EXECUTING state; determining a next process for the process instance; and routing the process instance to the next process.

Abstract: The present disclosure relates to methods of systems for process modeling. Embodiments of the present disclosure may store a user interface framework in a memory allocated to a browser application in the computer. The user interface framework may provide a user interface to a user operating the computer to perform process modeling. Some embodiments may also render the user interface using a rendering engine associated with the browser application and capture one or more process modeling events received as input by the user. The one or more process modeling events may be associated with one or more process models. In addition, some embodiments may store the one or more process modeling events as model data in the memory allocated to the browser application and render the one or more process models on the user interface based on at least a subset of the model data.

Abstract: A method, device and non-transitory computer readable medium that implements error detection and recovery includes receiving from one or more agents monitoring one or more subsystem processes of a business process operating in a cloud based architecture an identification of an error condition in at least one of the subsystem processes. Additionally, any associated information or data necessary to execute the at least one of the subsystem processes with the identified error condition is received. An error recovery process for the at least one of the subsystem processes with the identified error condition is executed by the application management computing device. The recovered at least one of the subsystem processes with the identified error condition is reinitiated using the received information or data corresponding to the at least one of the subsystem processes with the identified error condition.

Abstract: A method, device and non-transitory computer readable medium that implements error detection and recovery includes receiving from one or more agents monitoring one or more subsystem processes of a business process operating in a cloud based architecture an identification of an error condition in at least one of the subsystem processes. Additionally, any associated information or data necessary to execute the at least one of the subsystem processes with the identified error condition is received. An error recovery process for the at least one of the subsystem processes with the identified error condition is executed by the application management computing device. The recovered at least one of the subsystem processes with the identified error condition is reinitiated using the received information or data corresponding to the at least one of the subsystem processes with the identified error condition.

Abstract: The present disclosure relates to methods of systems for allocating a call from a user to an agent. Embodiments of the disclosure may determine a set of sentiment indicators associated with the user from one or more acoustic parameters of the call. In addition, embodiments of the disclosure may select a candidate agent to handle the call based on the set of sentiment indicators and a sentiment handling capability associated with the candidate agent. Moreover, embodiments of the disclosure may allocate the call to the candidate agent.

Abstract: The present disclosure relates to methods of systems for allocating a call from a user to an agent. Embodiments of the disclosure may determine a set of sentiment indicators associated with the user from one or more acoustic parameters of the call. In addition, embodiments of the disclosure may select a candidate agent to handle the call based on the set of sentiment indicators and a sentiment handling capability associated with the candidate agent. Moreover, embodiments of the disclosure may allocate the call to the candidate agent.

Abstract: This disclosure relates generally to Error! Reference source not found, and more particularly to systems and methods for a smart operating system for integrating dynamic case management into a process management platform. In one embodiment, a computer-implemented dynamic case management method includes creating a plurality of lightweight stateless computing processes; placing the processes in a WAIT state; receiving a request to initiate a process instance corresponding to a lightweight stateless process; placing at least one of the processes in an EXECUTING state; processing the process instance by the processes placed in the EXECUTING state; determining a next process for the process instance; and routing the process instance to the next process.

Abstract: Systems, methods, and non-transitory computer-readable media for a cloud based selectively scalable architecture (CBSSA) that may be used for selective and automatic up-scaling and downscaling of individual sub systems are disclosed. In this architecture sub systems may also be extended and added onto the system architecture independently without impacting the other sub systems. Hardware and Software provisioning techniques may be achieved at runtime using the APIs of the cloud infrastructure.

Abstract: The present disclosure relates to methods of systems for process modeling. Embodiments of the present disclosure may store a user interface framework in a memory allocated to a browser application in the computer. The user interface framework may provide a user interface to a user operating the computer to perform process modeling. Some embodiments may also render the user interface using a rendering engine associated with the browser application and capture one or more process modeling events received as input by the user. The one or more process modeling events may be associated with one or more process models. In addition, some embodiments may store the one or more process modeling events as model data in the memory allocated to the browser application and render the one or more process models on the user interface based on at least a subset of the model data.