Abstract: A system and method for accelerated content classification and routing of digital files in a data handling and data governance service includes identifying a digital computer file; sequentially routing the digital computer file to one or more machine learning-based content classification models of a plurality of distinct machine learning-based content classification models based on a service-defined model instantiation and execution sequence, wherein: the service-defined model instantiation and execution sequence defines a model instantiation and execution order for the plurality of distinct machine learning-based content classification models that enables a fast content classification of the digital computer file while minimizing a computation time or runtime of the one or more machine learning-based content classification models; computing, via a machine learning-based filename classification model, a content classification inference based on extracted filename feature data of the digital computer file; and

Abstract: Systems and methods of computing classifications for and migrating digital content that includes accessing a digital content corpus within a source data storage system; in response to accessing the digital content corpus, for each distinct item of digital content of the plurality of distinct items of digital content: computing, via one or more digital content machine learning classification models, a content classification inference; identifying automated digital content handling tasks of a plurality of distinct digital content handling tasks based on the content classification inference; executing the automated content handling tasks identified for each distinct item of digital content, wherein executing the automated content handling tasks includes: designating a storage location within a target data storage system based on the in-migration content classification inference; and migrating a respective item of digital content from the source data storage system to the designated storage location within the ta

Abstract: A machine learning-informed method executing automated workflows for digital file handling includes computing, by file classification machine learning models, a machine learning classification inference for each of a plurality of distinct digital files of a corpus of digital files; curating a plurality of distinct sub-corpora of digital files based on the machine learning classification inference associated with each of the plurality of distinct digital files, wherein the at least one machine learning classification inference comprises a digital file type classification inference of a plurality of distinct digital file type classification inferences; and selectiyely executing an automated digital file handling workflow for at least one sub-corpus based on the digital file type classification inference, wherein the automated digital file handling workflow includes a sequence of computer-executable tasks that, when executed, operates to modify one or more of a residency, permissions, and file metadata associate

Abstract: Systems and methods of computing classifications for and migrating digital content that includes accessing a digital content corpus within a source data storage system; in response to accessing the digital content corpus, for each distinct item of digital content of the plurality of distinct items of digital content: computing, via one or more digital content machine learning classification models, a content classification inference; identifying automated digital content handling tasks of a plurality of distinct digital content handling tasks based on the content classification inference; executing the automated content handling tasks identified for each distinct item of digital content, wherein executing the automated content handling tasks includes: designating a storage location within a target data storage system based on the in-migration content classification inference; and migrating a respective item of digital content from the source data storage system to the designated storage location within the ta

Abstract: Systems and methods of computing classifications for and migrating digital content that includes accessing a digital content corpus within a source data storage system; in response to accessing the digital content corpus, for each distinct item of digital content of the plurality of distinct items of digital content: computing, via one or more digital content machine learning classification models, a content classification inference; identifying automated digital content handling tasks of a plurality of distinct digital content handling tasks based on the content classification inference; executing the automated content handling tasks identified for each distinct item of digital content, wherein executing the automated content handling tasks includes: designating a storage location within a target data storage system based on the in-migration content classification inference; and migrating a respective item of digital content from the source data storage system to the designated storage location within the ta