Abstract: A system and method for analyzing connections between a first enterprise and a second enterprise includes retrieving connection data related to connections between the first enterprise and the second enterprise from a plurality of data sources and utilizing a connection graph generating engine to generate a connection graph for the connections between the first enterprise and the second enterprise, where the connection graph is generated based on the retrieved connection data. The connection graph is provided as an input to a trained machine-learning (ML) model to identify connection patterns in the connections between the first enterprise and the second enterprise and recommendations are generated using a second trained ML model based on the identified connection patterns and based on at least one of a context of the first enterprise or the second enterprise. The recommendations are provided for display to a user.

Abstract: A method for data-driven professional network expansion techniques is implemented via a computing system including a processor. The method includes executing, via a network, an enterprise application on a remote computing system operated by a user associated with an enterprise and surfacing a professional networking UI on a display of the remote computing system during execution of the enterprise application. The method includes accessing enterprise-level data corresponding to the user and the enterprise, extracting parameters associated with the user and the enterprise from the enterprise-level data, and automatically generating, based on the extracted parameters, the user's professional network and a list of suggested professional contacts.