Many organizations use contact centers to identify crucial product feedback, improve agent productivity, and boost overall customer experience. However, many still rely on manual methods or solutions to analyze calls in local languages which are time consuming, costly and difficult to scale. In this session, we demonstrate how to build an automated solution with Amazon SageMaker Jumpstart, Amazon Comprehend, Amazon Kendra and Amazon Bedrock (Anthropic Claude V2) to transcribe, translate and summarize agent-customer conversations across various languages. Discover how you can easily extract issues, actions, and call quality metrics for data-driven insights. We also demonstrate how to build a chatbot to query across conversations and extend it to a prompting engine.
Speaker: Kousik Rajendran, Principal Solutions Architect, AWS India