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Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning

The key to making this approach practical is to augment human agents with scalable, AI-powered virtual agents that can address callers’ needs for at least some of the incoming calls. Gartner’s Customer Service and Support Leader poll estimates that live channels such as phone and live chat cost an average of $8.01

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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

QnABot allows you to quickly deploy self-service conversational AI into your contact center, websites, and social media channels, reducing costs, shortening hold times, and improving customer experience and brand sentiment. Human: Can it integrate with my CRM? We discuss two such use cases in this section.

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

Interactions

Without the right Intelligent Virtual Agent (IVA) in place, the summer volume spike could result in long hold times and even more guest frustration. Guests want to solve their problems with self-service tools. The post 5 ways to know if your IVA is ready for Summer 2022 appeared first on Interactions.