Transform your contact center with generative AI - Featuring live call analytics

Generative AI is changing the way organizations deliver impactful customer experiences especially in the context of contact centers to uncover real-time and live call insights into customer conversations. With Large Language Models (LLMs), you can generate highly accurate call summaries, identify intent, problem signatures, agent actions, and sentiment analysis from call transcripts. However, performance, latency, token limits, and cost remain a barrier when using LLMs especially at scale. In this session, uncover a novel architecture as we walk through a teacher/student architecture by utilizing LLM to fine-tune a smaller LLM. Learn how you can get started easily to implement a low latency, high-quality call analytics and cost-effective generative AI powered call analytics solution on AWS. Download slides », Download demo »

Speaker: Nagib Shah, Solutions Architect, AWS India