Storage and automated metadata extraction using machine teaching

A computing device comprising:

• one or more processors;
• a memory in communication with the one or more processors, the memory having computer-readable instructions stored thereupon which, when executed by the one or more processors, cause the computing device to:
• in response to receiving an instruction to apply a machine learning model to one or more directories of a collaborative computing platform:
• as new files are uploaded to the directories of the collaborative computing platform, apply the machine learning model to the uploaded files to classify the files and extract metadata;
• store the extracted metadata and associated classification data in data structures associated with the new files, wherein the data structures are existing data structures of the collaborative computing platform;
• and
• expose the extracted metadata and associated classification data to applications executing on the collaborative computing platform;
• wherein the machine learning model is trained using selected files stored on the collaborative computing platform;
• and the trained machine learning model is operable to generate outputs based on the selected files as input data.

One or more non-transitory computer-readable media storing computer-executable instructions that, upon execution cause one or more processors of a computing device to cause the computing device to perform operations comprising:

• receiving a selection of one or more files for input to a machine learning model integrated with a collaborative computing platform, wherein the files are stored on the collaborative computing platform;
• receiving a selection of content in the files for input to the machine learning model, and one or more instructions for applying the selected content to the machine learning model;
• receiving a selection of one or more directories of the collaborative computing platform;
• in response to receiving an instruction to apply the machine learning model to the selected directories:
• applying the machine learning model to files that are uploaded to the selected directories to classify the files and extract metadata;
• storing the extracted metadata and associated classification data in data structures associated with the uploaded files, wherein the data structures are data structures of the collaborative computing platform;
• and
• exposing the extracted metadata and associated classification data to applications executing on the collaborative computing platform;
• wherein the machine learning model is trained using the selected files, selected content, and instructions;
• and the trained machine learning model is operable to generate outputs based on the selected directories as input data.