Fuze Harnesses Machine Learning in New Patent for Distributing Communication Requests
Patent facilitates and enhances internal and customer communication patterns
Fuze, the leading cloud-based communications provider for the modern global enterprise, announced that it has been awarded a new patent for distributing communication requests using machine learning (ML), enabling more efficient communications for Fuze users and their customers.
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“As the distributed workforce grows, facilitating meaningful communication experiences becomes increasingly complex, requiring more advanced technology”
The U.S. Patent and Trademark Office (USPTO) issued Fuze U.S. Patent No. 10616369 on April 7, 2020. The invention uses machine learning to analyze live user data and historical communication patterns to inform predictive models that can quickly direct incoming communication requests from customers or internal employees. This provides organizations with greater insight into how to enhance and efficiently facilitate communication experiences, including how to best structure and manage resources to meet workflow demands.
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“As the distributed workforce grows, facilitating meaningful communication experiences becomes increasingly complex, requiring more advanced technology,” said Rob Scudiere, president and chief operating officer at Fuze. “With the ability to leverage machine learning to intelligently analyze and act on available data, this patent optimizes the user’s communications experience during a time when workers are relying on seamless communication more than ever to remain engaged and productive.”
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