AWS Contact Center

Category: Amazon Machine Learning

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, […]

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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 […]

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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, […]

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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 […]

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