Customer experience has never been as important as it is today in retail energy and electrification. Soaring energy prices, inflation, and the surge in demand for EVs and charging stations have created unprecedented challenges for these industries.
Using AI-powered intelligence, support agents in retail energy or utility call centers can utilize real-time insights to resolve complex customer issues with electric vehicles, assign field technicians to troubleshoot infrastructure and logistic issues, and provide clear explanations of energy sources, tariff plans, billing changes, and optimal spending expectations.
Find out how Minerva CQ, a member of NVIDIA Inception, is leveraging NVIDIA Riva Enterprise to augment customer service agents with real-time AI assist for each customer conversation. Join us after the presentation for a live Q&A session.
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Daniel Hong is the chief marketing officer for Minerva CQ, an AI platform that enables today’s workforce to effortlessly blend with AI during voice and digital conversations to improve agent and customer experiences. Prior to joining Minerva CQ, Daniel was the VP and research director for the CRM, contact center, collaboration practice, and healthcare practice at Forrester Research.
Reynaldo Gomez earned his B.S. in nuclear physics from the University of Texas in 2013 and is now working toward an M.S. in management science and engineering from Stanford. He spent three years at Schlumberger WesternGeco as a geophysicist before moving to IBM and eventually landing on the Energy team at NVIDIA. Reynaldo manages the partner ecosystem for the energy vertical with a focus on machine learning, deep learning, and high performance computing.
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Date & Time: Wednesday, April 22, 2018