Category: Generative AI

Introduction Every customer interaction leaves digital traces that reveal preferences and needs. While businesses collect vast amounts of customer data, most struggle to move beyond basic personalization to understand the ‘why’ behind customer behavior. The key challenge isn’t gathering data—it’s converting these signals into real-time, actionable insights. Whether in retail, airlines, telecom, or entertainment, companies […]

We will introduce how generative AI contributes to VoC (Voice of Customer) analysis in contact centers, particularly focusing on the advantages of methods using the latest LLM (Large Language Model) technology and their superiority when compared to conventional approaches.

Introduction Contact center agents face a variety of challenges when handling customer interactions. Whether it’s troubleshooting a technical issue, resolving a billing dispute, or simply providing helpful, accurate information, agents need to be effective across a wide range of topics. This often requires months, or even years, of experience becoming familiar with the various issues […]

A solid knowledge base has always been a crucial piece in effectively aiding agents in the contact center. Now with generative AI, well-structured, straightforward, and up-to-date knowledge bases are key to support generative AI assistants like Q in Connect in easily and effectively synthesizing your content. In this blog post, you will learn about Amazon Q in Connect, how it works, and how to optimize your knowledge base to maximize impact using our generative AI capabilities.