Eric Forbes

Title: Innovations by Eric Forbes in Machine Learning Workflows

Introduction

Eric Forbes is an accomplished inventor based in Canton, GA (US). He has made significant contributions to the field of machine learning, particularly in the area of customer service problem resolution. With a total of 2 patents, Forbes has developed innovative solutions that enhance the efficiency of customer service operations.

Latest Patents

One of Eric Forbes' latest patents focuses on "Interpretation workflows for machine learning-enabled event tree-based diagnostic and customer problem resolution." This invention outlines a system that receives a workflow construction specification derived from a machine learning-enabled event tree (MLET). The MLET is designed to assist customer service agents in resolving customer issues effectively. The workflow construction specification includes various objects representing navigation paths through the MLET. The system traverses this specification to create a set of workflow creation commands based on established policies. Ultimately, it generates a workflow visualization interpretation file that identifies how the MLET determines the root cause of customer problems. This file is then presented to the customer service agent, facilitating a more informed resolution process.

Career Highlights

Eric Forbes is currently employed at AT&T Intellectual Property I, L.P., where he continues to innovate and develop solutions that leverage machine learning technologies. His work has been instrumental in advancing the capabilities of customer service systems.

Collaborations

Forbes collaborates with talented individuals such as James Fan and Al Hooshiari, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Eric Forbes is a notable inventor whose work in machine learning workflows has the potential to transform customer service operations. His patents reflect a commitment to improving problem resolution processes through innovative technology.