Abstract: One or more portions of a text corpus indicative of operational risk from a set of risk assessment documents is identified. Contextual features from the one or more portions of the text corpus are determined by applying a natural language processing (NLP) algorithm on the one or more portions. Risk identifiers are extracted based on the determined contextual features. A risk assessment software is generated based on the extracted risk identifiers and an operational risk category.

Abstract: Document schemas for a first document from a first data source and a second document from a second source are identified. The document schema includes a set of tags and data elements corresponding to the set of tags. Based on the identified document schema, the set of tags of the first document to the set of tags of the second document are mapped. Portion of the first document is formatted based on the mapped set of tags. The formatted portion of the first document is positioned parallel to corresponding portion of the second document. The formatted first document and the second document are merged then displayed on the computer device.

Abstract: A method, computer program product, and computer system for managing compliance data systems. A file is received from a data source. At least one obligation protocol from content of the file is identified. The content file is stored in a first database in response to determining that the at least one obligation protocol is indicative of an optional obligation protocol. A risk assessment score of the entity is generated based on a subset of the optional obligation protocols.

Abstract: A method, in a data processing system comprising a processor and a memory, for analyzing product impact, the method comprising receiving, by the data processing system, data representative of an entity's operations, receiving, by the data processing system, a selection of one or more products, parsing, by the data processing system, features of the one or more products from product data input, and generating, by the data processing system, product profiles for the one or more products based on the parsed features. The method further comprising generating, by the data processing system, risk assessment data based on the data representative of the entity's operations and the product profiles, the risk assessment data including an indication of one or more changes in risk metrics of one or more risk components associated with the entity's operations by offering the one or more products.

Abstract: Document schemas for a first document from a first data source and a second document from a second source are identified. The document schema includes a set of tags and data elements corresponding to the set of tags. Based on the identified document schema, the set of tags of the first document to the set of tags of the second document are mapped. Portion of the first document is formatted based on the mapped set of tags. The formatted portion of the first document is positioned parallel to corresponding portion of the second document. The formatted first document and the second document are merged then displayed on the computer device.

Abstract: Document schemas for a first document from a first data source and a second document from a second source are identified. The document schema includes a set of tags and data elements corresponding to the set of tags. Based on the identified document schema, the set of tags of the first document to the set of tags of the second document are mapped. Portion of the first document is formatted based on the mapped set of tags. The formatted portion of the first document is positioned parallel to corresponding portion of the second document. The formatted first document and the second document are merged then displayed on the computer device.

Abstract: A method, computer program product, and computer system for managing compliance data systems. A file is received from a data source. At least one obligation protocol from content of the file is identified. The content file is stored in a first database in response to determining that the at least one obligation protocol is indicative of an optional obligation protocol. A risk assessment score of the entity is generated based on a subset of the optional obligation protocols.

Abstract: A method, in a data processing system comprising a processor and a memory, for analyzing domain-specific features, the method comprising receiving a selection of a domain from a client device, ingesting domain data from a data server, extracting domain elements from the domain data that correspond to the selected domain, and retrieving actionable information for the selected domain by using natural language processing and machine learning on the extracted domain elements and determining that the actionable information corresponds to the selected domain, the actionable information comprising operating parameters for the selected domain.

Abstract: A method, computer system, and computer program product for monitoring content updates to a document based on contextual data. A content update within an existing document stored in a database is detected. Contextual data from the content update is extracted, the contextual data including temporal delay between upload time of a first version of the content update and upload time of a last version of the content update. Relevance score of the content update is computed based on the contextual data. An alert is issued in response to determining that the relevance score of the content update exceeds a first threshold value.

Abstract: A method, in a data processing system comprising a processor and a memory, for analyzing product impact, the method comprising receiving, by the data processing system, data representative of an entity's operations, receiving, by the data processing system, a selection of one or more products, parsing, by the data processing system, features of the one or more products from product data input, and generating, by the data processing system, product profiles for the one or more products based on the parsed features. The method further comprising generating, by the data processing system, risk assessment data based on the data representative of the entity's operations and the product profiles, the risk assessment data including an indication of one or more changes in risk metrics of one or more risk components associated with the entity's operations by offering the one or more products.

Abstract: A protocol user interface (UI) element on a graphical user interface is generated, in which the protocol UI element includes an input field and is assigned with a weight value. The weight value is determined at least based upon data entered into the input field of the protocol UI element. The weight value assigned to the protocol UI element is adjusted based on historical event data associated with a protocol corresponding to the protocol UI element. Data entered into the input field of the protocol UI element is parsed. A risk assessment score based on the adjusted weight value and parsed data is dynamically calculated, in which the risk assessment score indicates a likelihood that an adverse event will occur as a result of violating the protocol.

Abstract: A method, in a data processing system comprising a processor and a memory, for processing natural language feeds to software, the method comprising receiving, by the data processing system, a natural language feed including data that is representative of parameters and quantitative data from government or regulatory body data sources, parsing, by the data processing system, the natural language feed with natural language processing for features that correspond to a production system, converting, by the data processing system, the parsed natural language feed into software functions, and calibrating, by the data processing system, the production system by updating a data library using the software functions and integrating information from the data library with the production system.

Abstract: Document schemas for a first document from a first data source and a second document from a second source are identified. The document schema includes a set of tags and data elements corresponding to the set of tags. Based on the identified document schema, the set of tags of the first document to the set of tags of the second document are mapped. Portion of the first document is formatted based on the mapped set of tags. The formatted portion of the first document is positioned parallel to corresponding portion of the second document. The formatted first document and the second document are merged then displayed on the computer device.

Abstract: One or more portions of a text corpus indicative of operational risk from a set of risk assessment documents is identified. Contextual features from the one or more portions of the text corpus are determined by applying a natural language processing (NLP) algorithm on the one or more portions. Risk identifiers are extracted based on the determined contextual features. A risk assessment software is generated based on the extracted risk identifiers and an operational risk category.