Dippu Singh

This talk addresses the significant engineering challenge of extracting actionable business intelligence from messy, low-latency audio streams in contact centers. It proposes a four-stage pipeline to transform raw audio into structured data, aiming to reduce after-call work (ACW) and improve operational efficiency. The core idea is to leverage generative AI to automate summarization and data extraction, thereby reducing operator stress and enhancing customer experience analysis.