Abstract: Systems and methods disclosed herein provide for applying lifecycle processes to digital data objects utilizing blockchain and artificial intelligence. Embodiments of the systems and methods provide for interacting with a digital data object from a variety of different source systems as well as dynamically modifying particular attributes associated with the digital data objects based on real-time information and/or user-specified requirements.

Abstract: The invention relates to a computer-implemented system and method for analyzing unstructured data from a plurality of input files, and standardizing the data to a format that can be consumed by downstream systems. The method may comprise the steps of: receiving at least one input file to be analyzed, wherein the at least one input file includes the structured and unstructured data, splitting the at least one input file into a plurality of documents, classifying each page of the plurality of documents as one of structured or unstructured data, parsing the pages of the plurality of documents classified as unstructured data, extracting relevant data from the parsed pages, mapping each of the extracted relevant data to standardized output; and generating canonical data sets based on the standardized outputs.

Abstract: Systems and methods disclosed herein provide for applying lifecycle processes to digital data objects utilizing blockchain and artificial intelligence. Embodiments of the systems and methods provide for interacting with a digital data object from a variety of different source systems as well as dynamically modifying particular attributes associated with the digital data objects based on real-time information and/or user-specified requirements.

Abstract: The invention relates to a computer-implemented system and method for analyzing unstructured data from a plurality of input files, and standardizing the data to a format that can be consumed by downstream systems. The method may comprise the steps of: receiving at least one input file to be analyzed, wherein the at least one input file includes the structured and unstructured data, splitting the at least one input file into a plurality of documents, classifying each page of the plurality of documents as one of structured or unstructured data, parsing the pages of the plurality of documents classified as unstructured data, extracting relevant data from the parsed pages, mapping each of the extracted relevant data to standardized output; and generating canonical data sets based on the standardized outputs.