Unified people connector

A method of identifying individuals with a user-requested expertise related to one or more software applications, the method comprising:

• receiving, by at least one processor, a user input from a user;
• extracting, by the at least one processor, one or more keywords from the user input;
• generating, by the at least one processor, one or more search requests based upon the one or more keywords, each search request of the one or more search requests identifying at least one application programming interface (API) call configured to invoke at least one API function as exposed by a software application of the one or more software applications;
• transmitting, by the at least one processor, the one or more search requests to the one or more software applications;
• receiving, by the at least one processor, one or more search responses from the one or more software applications;
• determining, by the at least one processor, a plurality of software application users and a set of evidence associated with each application user of the plurality to application users from the one or more search responses, each set of evidence including user interactions with each of the one or more software applications;
• aggregating, by the at least one processor, the sets of evidence into an aggregated data set;
• and
• configuring, by the at least one processor, the aggregated data set as an input to a machine learning classifier.

A non-transitory computer readable medium storing computer executable instructions to identify individuals with a user-requested expertise related to one or more software applications, the computer executable instructions comprising instructions to:

• receive a user input from a user;
• extract one or more keywords from the user input;
• generate one or more search requests based upon the one or more keywords, each search request of the one or more search requests identifying at least one application programming interface (API) call configured to invoke at least one API function as exposed by a software application of the one or more software applications;
• transmit the one or more search requests to the one or more software applications;
• receive one or more search responses from the one or more software applications;
• determine, from the one or more search responses, a plurality of software application users and a set of evidence associated with each application user of the plurality to application users, each set of evidence including user interactions with each of the one or more software applications;
• aggregate the sets of evidence into an aggregated data set;
• and
• configure the aggregated data set as an input to a machine learning classifier.