Interactive digital dashboards for trained machine learning or artificial intelligence processes

A computer-implemented method, comprising:

• obtaining, using at least one processor, process data associated with an execution of a plurality of machine learning or artificial intelligence processes;
• based on the process data, determining, using the at least one processor, and for each of the machine learning or artificial intelligence processes, a value of one or more metrics characterizing a status of one or more operations that support the execution of the corresponding machine learning or artificial intelligence process;
• and
• using the at least one processor, generating status data for each of the plurality of machine learning or artificial intelligence processes, and transmitting one or more elements of the status data to a device, the status data comprising, for each of the machine learning or artificial intelligence processes, the determined one or more metric values and a corresponding process identifier, and the status data causing the device to present, for each of the machine learning or artificial intelligence processes, a graphical representation of at least one of the determined one or more metric values within a digital interface.

A device, comprising:

• a communications interface;
• a display unit;
• an input unit;
• a memory storing instructions;
• and
• at least one processor coupled to the communications interface, the display unit, the input unit, and the memory, the at least one processor being configured to execute the instructions to:
• receive, via the communications interface, status data associated with an execution of a plurality of machine learning processes, the status data comprising, for each of the plurality of machine learning processes, a process identifier and a value of one or more metrics characterizing a status of one or more operations that support the execution of the corresponding machine learning process;
• based on the status data, generate and present, via the display unit, and for each of the plurality of machine learning processes, a first graphical representation of a first subset of the one or more metric values within a portion of a digital interface;
• receive, via the input unit, input data indicative of a selection of one or the first graphical representation associated with a corresponding one of the plurality of machine learning processes;
• and
• based on the input data, generate and present, via the display unit, a second graphical representation of a second subset of the one or more metric values associated with the corresponding machine learning process within an additional portion of the digital interface.