Abstract: Embodiments of the present invention provide a system for optimizing configuration of resource upgrades. The system is configured for identifying entity resources that meet conditions associated with upgrading the entity resources, identifying rules associated with upgrading the entity resources, determining change windows for upgrading the entity resources based at least on the rules, generating a schedule for upgrading the entity resources based on the rules and the change windows, displaying the schedule for upgrading the entity resources to a user, via a dynamic editable user interface, prompting the user to provide an input associated with the schedule via the dynamic editable user interface, receiving the response from the user via the dynamic editable user interface, and automatically upgrading the entity resources based on the schedule and the response received from the user.

Abstract: Systems, computer program products, and methods are described herein for preventing synthetic misappropriation events over an electronic network.

Abstract: Systems, computer program products, and methods are described herein for preventing synthetic misappropriation events over an electronic network.

Abstract: Systems, computer program products, and methods are described herein for secure training of machine learning models. The present disclosure is configured to receive a training dataset, wherein the training dataset comprises personally identifiable information (PII); implement a data sanitization algorithm using adjustable data sanitization parameters on the training dataset to generate a corresponding sanitized training dataset; train an ML model using the sanitized training dataset; deploy the trained ML model on a live dataset; evaluate a performance accuracy of the ML model against an accuracy threshold; and iteratively adjust the data sanitization parameters for subsequent iterative re-training of the ML model until the performance accuracy of the ML model meets the accuracy threshold.

Abstract: A system is provided for computing and tracking resource state changes using a multichain distributed register technology. In particular, the system may comprise an index distributed register that may be stored across a plurality of distributed register nodes. The index distributed register may comprise one or more resource-specific data records that may in turn make up a resource-specific distributed register originating from the index distributed register. The resource-specific distributed register may comprise an initial data record that defines the attributes of the resource, and one or more subsequent data records that may be linked with the initial data record to reflect changes in the state of the resource to be tracked. Based on the data within each of the resource-specific distributed register, the system may compute resource analysis scores and/or trigger real-time user alerts.

Abstract: The present disclosure details systems, computer program products, and methods for machine engine analysis of network interaction data to identify conflicts. This involves the activation of an intelligence engine that connects to a backend data engine to access a database of conflict of interest (COI) datasets. The intelligence engine analyzes incoming applicant data and the COI datasets to identify potential conflicts. The identified conflicts are validated using stochastic metrics via a rules engine. A quantifiable probability metric is calculated, representing the probability of conflict from both organizational and individual perspectives. Based on the potential conflict of interest, a recommendation is generated that aligns with the calculated probability. The system then provides recommendations via API or on a user interface that is communicatively coupled to the processor.

Abstract: A concentrator nozzle attachment for a blower device is disclosed that increases the airflow velocity of the blower without sacrificing the field of the jetting air. The concentrator nozzle is formed of an outer ring with a centrally located guide surface and is placed at the exit of an air tube. As the air exits the air tube, it's forced to flow around the guide surface, thus increasing its velocity. The attachment is secured to the end of the air tube and so does not alter the outer diameter through which the air exits. In this way, air velocity is increased without reducing its effectiveness.