AWS Contact Center

Category: Amazon Machine Learning

Generative AI unlocks 60% faster Japanese VoC analysis with Amazon Connect Contact Lens

Generative AI unlocks 60% faster Japanese VoC analysis with Amazon Connect Contact Lens

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.

Increasing agent productivity with generative AI in Amazon Connect

Increasing agent productivity with generative AI in Amazon Connect

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 […]

Optimizing your knowledge base for Amazon Q in Connect

Optimizing your knowledge base for Amazon Q in Connect

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.

Real-time customer insights using machine learning with Contact Lens for Amazon Connect

Contact Lens for Amazon Connect provides a set of machine learning (ML) capabilities integrated into Amazon Connect. These capabilities enable businesses to analyze call recordings for customer sentiment, trends, and compliance of conversations. Contact center supervisors want real-time insights into customer experience issues while calls are in progress to provide proactive assistance to their agents. Historically, […]

Machine learning-based caller authentication with Amazon Connect Voice ID (preview)

To authenticate callers, contact centers often use a time-consuming process where callers have to answer multiple questions verifying their personal details, like social security number, date of birth, and mother’s maiden name. This process is costly, time-consuming, and leads to poor customer experiences. Amazon Connect Voice ID provides real-time caller authentication, which makes voice interactions […]

Machine learning-based customer insights with Contact Lens for Amazon Connect

Today, Amazon Web Services (AWS) announced the general availability of Contact Lens, machine learning powered contact center analytics for Amazon Connect. Amazon Connect is an easy-to-use cloud contact center that helps companies of any size deliver superior customer service at lower cost. With Contact Lens, supervisors and quality assurance managers can easily understand the sentiment, […]

Contact Lens for Amazon Connect (Preview)

Today, AWS announced Contact Lens for Amazon Connect, a set of capabilities for Amazon Connect enabled by machine learning (ML) that gives contact center supervisors and analysts the ability to understand the content, sentiment, and trends of their customer conversations to identify crucial customer feedback and improve customer experience. Amazon Connect is an omnichannel cloud […]