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GTC ON-DEMAND

Presentation
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Abstract:
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.
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.  Back
 
Topics:
Speech & Language Processing, Advanced AI Learning Techniques
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9311
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