Abstract: Methods, systems, and techniques for using an actor model payment processing engine to process payments. A payment instruction is received. An event corresponding to the payment instruction is stored in an event journal. The payment processing engine, which is event-sourced and actor-based, performs the payment instruction. Performing the payment instruction involves transitioning the engine through one or more states in response to the payment instruction, and may involve performing actions with non-event sourced and event sourced actors in both stateless and stateful environments.

Abstract: Systems and methods associated with generating and/or maintaining resilient versions of application data usable by operationally distinct clusters are disclosed. In one embodiment, an exemplary method may comprise operating plural instances of a software application in a first cluster and a second cluster, assessing requirements of streaming architecture of both clusters that impact the instances' ability to process application data, creating at least two versions of the application including a main version in one cluster and a replica version for an operationally distinct cluster, automatically mirroring replica versions of the application data from each cluster into a distinct cluster for access and use by the software instance in the distinct cluster, and storing indexes for main and replica versions and all data that the software application requires to provide consistent responses in all such operationally distinct clusters.

Abstract: Systems and methods for optimizing processing of loan applications are disclosed. A system may include one or more memory devices storing instructions and one or more processors configured to execute the instructions. The instructions may instruct the system to analyze training data to build a predictive model. The instructions may also instruct the system to apply the predictive model to a loan application to determine a first probability of an institution funding the loan application if the institution proactively engages a loan-arranging entity of the loan application and a second probability of the institution funding the loan application if the institution reactively engages the loan-arranging entity. The instructions may further instruct the system to reporting the first and second probabilities to a user through a user interface.

Abstract: Systems and methods associated with generating and/or maintaining resilient versions of application data usable by operationally distinct clusters are disclosed. In one embodiment, an exemplary method may comprise operating plural instances of a software application in a first cluster and a second cluster, assessing requirements of streaming architecture of both clusters that impact the instances' ability to process application data, creating at least two versions of the application including a main version in one cluster and a replica version for an operationally distinct cluster, automatically mirroring replica versions of the application data from each cluster into a distinct cluster for access and use by the software instance in the distinct cluster, and storing indexes for main and replica versions and all data that the software application requires to provide consistent responses in all such operationally distinct clusters.

Abstract: Systems and methods for optimizing processing of loan applications are disclosed. A system may include one or more memory devices storing instructions and one or more processors configured to execute the instructions. The instructions may instruct the system to analyze training data to build a predictive model. The instructions may also instruct the system to apply the predictive model to a loan application to determine a first probability of an institution funding the loan application if the institution proactively engages a loan-arranging entity of the loan application and a second probability of the institution funding the loan application if the institution reactively engages the loan-arranging entity. The instructions may further instruct the system to reporting the first and second probabilities to a user through a user interface.

Abstract: Systems and methods for optimizing processing of loan applications are disclosed. A system may include one or more memory devices storing instructions and one or more processors configured to execute the instructions. The instructions may instruct the system to analyze training data to build a predictive model. The instructions may also instruct the system to apply the predictive model to a loan application to determine a first probability of an institution funding the loan application if the institution proactively engages a loan-arranging entity of the loan application and a second probability of the institution funding the loan application if the institution reactively engages the loan-arranging entity. The instructions may further instruct the system to reporting the first and second probabilities to a user through a user interface.

Abstract: Systems and methods for optimizing processing of loan applications are disclosed. A system may include one or more memory devices storing instructions and one or more processors configured to execute the instructions. The instructions may instruct the system to analyze training data to build a predictive model. The instructions may also instruct the system to apply the predictive model to a loan application to determine a first probability of an institution funding the loan application if the institution proactively engages a loan-arranging entity of the loan application and a second probability of the institution funding the loan application if the institution reactively engages the loan-arranging entity. The instructions may further instruct the system to reporting the first and second probabilities to a user through a user interface.

Abstract: Systems and methods associated with generating and/or maintaining resilient versions of application data usable by operationally distinct clusters are disclosed. In one embodiment, an exemplary method may comprise operating plural instances of a software application in a first cluster and a second cluster, assessing requirements of streaming architecture of both clusters that impact the instances' ability to process application data, creating at least two versions of the application including a main version in one cluster and a replica version for an operationally distinct cluster, automatically mirroring, in real time, replica versions of the application data from each cluster into a distinct cluster for access and use by the software instance in the distinct cluster, and locally storing indexes for main and replica versions and all data that the software application requires to provide consistent responses in all of the operationally distinct clusters.

Abstract: Various embodiments are generally directed to techniques for audit management, such as for automating and/or streamlining one or more audit processes or procedures, for instance. Some embodiments are particularly directed to generating optimized audit queues and facilitating efficient performance of the audit queues to provide improved audit platforms. For instance, in one or more embodiments, an audit platform may prioritize documents in a batch with identified authentication requirements and/or identified authentication requirements completed by specific associate entities to create an effective worklist, or audit queue, that covers predefined audit targets for the documents and/or associate entities. In various embodiments, the audit platform may present documents in the worklist and/or associated authentication requirements along with one or more tasks or baselines for completion and/or verification via one or more user interfaces.