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 method of using an Artificial Intelligence (AI) self-governing infrastructure design, is provided. The method provides an AI-aware, self-governing, infrastructure design which prompts the design to requisition constituent components required for a build-out of the design. In response to the prompting, the method may include using the design to initiate a plurality of tickets. The plurality of tickets procures constituent components and confirms that the initiated tickets are sufficient to place the design in a condition of viability. Following the fulfillment of the tickets, the infrastructure self-certifies operability and seeks end-user acceptance of the operability of the build-out. The design is maintained as decision-making capable, and further configured to selectively receive human intervention. The human intervention enables design customization.

Abstract: A method and fabrication correction system for correcting fabrication in a document receives an input document from a user and identifies a reference document based on one of a plurality of categories of the input document from reference document database. The fabrication correction system detects fabrication in input document based on a predefined machine learning technique, by comparing one or more parameters associated with the input document with corresponding one or more parameters of the reference document and determines fabricated regions in the input document and a type of the fabrication in each of the one or more fabricated regions, based on one or more predefined techniques. Thereafter, one or more actions is performed in each of the one or more fabricated regions based on the type of the fabrication and the reference document, upon receiving a user input, for correcting the one or more fabricated regions.

Abstract: A method and fabrication correction system for correcting fabrication in a document receives an input document from a user and identifies a reference document based on one of a plurality of categories of the input document from reference document database. The fabrication correction system detects fabrication in input document based on a predefined machine learning technique, by comparing one or more parameters associated with the input document with corresponding one or more parameters of the reference document and determines fabricated regions in the input document and a type of the fabrication in each of the one or more fabricated regions, based on one or more predefined techniques. Thereafter, one or more actions is performed in each of the one or more fabricated regions based on the type of the fabrication and the reference document, upon receiving a user input, for correcting the one or more fabricated regions.