Zeetogroup, LLC

Alexander James Egan

Herbert Johnson

Matthew William Maybeno

Marcie Gately

Stephan Goss

Matt Ferguson

Laura D Gonzalez

Systems and methods disclosed herein relate to utility based selection of inquiries in a streaming data pipeline. An indication of user identification data and a data source may be received by a server in communication with a distributed streaming data pipeline. This pipeline may be in communication with asynchronous event processing services. Those event processing services may determine an inquiry rule that includes an inquiry threshold. This rule may be based on the data source and retrieval of information related to that data source from memory in a database server. The rule may prompt a comparison of an inquiry count to an inquiry threshold. If the count is below the threshold, an inquiry may be sent to a user based in part upon expected utility that is itself based upon several indications of expected utility calculated by an event processing service.

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San Diego, CA, United States of America

Alexander James Egan