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2019 GTC San Jose
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S9311 - Improving Customer Service with Deep Learning Techniques in a Multi-Touchpoint System

Session Speakers
Session Description

We'll present our work on unified models leveraging both deep learning and traditional modeling techniques to improve customer service in a multi-touchpoint system. A typical business has more than 20 direct and indirect multi-modal touchpoints. Forming a unified view of these interactions is critical in giving a smooth end-to-end consistent experience. By combining both structured and unstructured data, we can resolve many customer issues even before there is a need for them to contact the business. To address this and mitigate overall customer contact rates, we have built a suite of solutions with chatbots, email routing and auto-response solutions.


Additional Information
Deep Learning - Speech/Language Processing
Advanced AI Learning Techniques (Incl. GANs/NTMs), Deep Learning - Speech/Language Processing
Financial Services Industry
Intermediate technical
Talk
50 minutes
Session Schedule