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Using transcription confidence scores to improve slot filling in Amazon Lex

AWS Machine Learning

Interaction model The following are different customer experiences a caller may have depending on what they say and the transcription confidence scores returned by Amazon Lex: Conversation 1: Virtual Agent: Thank you for calling Acme Travel. Virtual Agent: In a few words, what is the reason for your call today?

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Build an AI-powered virtual agent for Genesys Cloud using QnABot and Amazon Lex

AWS Machine Learning

The rise of artificial intelligence technologies enables organizations to adopt and improve self-service capabilities in contact center operations to create a more proactive, timely, and effective customer experience. In this post, we demonstrate how to elevate traditional customer service FAQs with an interactive voice bot.

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5 ways to know if your IVA is ready for Summer 2022

Interactions

Summer 2022 is upon us and, as the Washington Post covers, all indications suggest travel will be back to the pre-pandemic era. But the war in Ukraine, high inflation, and lofty gas prices have added uncertainty in the travel world and increased the likelihood for out-of-practice travelers to make errors.

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Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center

AWS Machine Learning

Amazon Lex provides advanced conversational artificial intelligence (AI) capabilities to enable self-service support for your organization’s contact center. The bots can answer FAQs, provide self-service experiences, or triage customer requests before transferring to a human agent.

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Enhance Amazon Lex with conversational FAQ features using LLMs

AWS Machine Learning

Amazon Lex is a service that allows you to quickly and easily build conversational bots (“chatbots”), virtual agents, and interactive voice response (IVR) systems for applications such as Amazon Connect. Today, a bot developer can improve self-service experiences without utilizing LLMs in a couple of ways.

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Waterfield Tech Research: Customer Experience Leaders Lag Significantly in Deploying Conversational AI

CSM Magazine

With AI, and specifically conversational AI, businesses can quickly and effectively address contact center staffing shortages and lower costs by enabling value-driven self-service that reduces the volume of human agent interactions. When asked, “What is the most important task a virtual agent can accomplish for your business?”

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On-Premise vs. Cloud Contact Center, What Are The Differences?

NobelBiz

Regardless of the hardware, the key difference is that there is no shared IP network infrastructure – the calls don’t need to travel across the network, to a remote data center, for remote management. This lets you provide network services to your customers using a lower cost.