Systems and methods of utilizing machine learning components across multiple platforms

A computer implemented method comprising:

• querying an external machine learning component;
• receiving raw data outputs from the external machine learning component, the raw data outputs resulting from computer implemented computations directed to a first business process;
• transmitting the raw data outputs to a context component stored on the computer;
• combining the raw data outputs from the external machine learning component with context data gathered by the computer to form combined context data;
• querying an active machine learning component with the combined context data to output a suggested next step to be executed by the computer;
• transmitting the suggested next step back to the context component for adding to the combined context data and forming an augmented data set;
• querying a rules database to select a rule that corresponds to the augmented data set that includes the suggested next step from the active machine learning component;
• using the computer, implementing an automated output for a different business process according to the rule that was selected.

An apparatus for executing an active machine learning software component, the apparatus comprising:

• a processor coupled to a computer memory having computer-readable instructions that, when executed by the processor, cause the apparatus to perform a method for executing the active machine learning software component with a computer implemented method comprising:
• retrieve raw data outputs from an external machine learning component;
• transmit the raw data outputs to a context component in data communication with the machine learning software component;
• combing the raw data outputs from the external machine learning component with context data gathered by the computer to form an augmented data set for use by the context component;
• query the active machine learning component to receive a suggested next step for the computer and transmitting the suggested next step back to the context component for adding to the augmented data set,
• query a rules software program to select a rule that corresponds to the augmented data set that includes the suggested next step from the active machine learning component;
• implement an automated output corresponding to the rule.