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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. The LLM-powered QnABot can also play a pivotal role as an automated real-time agent assistant.

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Meet Sophie AI: The Future of Service

TechSee

However, today’s early Generative AI solutions lack context, and deliver a poor user experience. These are the keys to unlocking mainstream adoption of Generative AI for service and CX. Each secure Sophie AI is fully adapted to each enterprise and user persona through powerful training and optimization.

Meeting 109
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Does Automation Make Customer Service Smart?

CSM Magazine

Not only in marketing and sales, but also in service. They want and need to digitize and automate more with meaningful self-service solutions. Glock: As customers, there are four hurdles that customer service has to overcome. Here, bots could greatly increase the quality of customer service. One last tip?