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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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3 ways virtual agents can boost call center efficiency

Talkdesk

Self-service is a hot topic in the call center industry. From knowledge bases to virtual agents, the potential disruption that a solid set of self-service applications can bring to contact center efficiency and customer experience is unquestionable and justifies all the buzz.

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SUPER AGENT – Helping Chatbots Work Smarter

TechSee

Customer Service centers have placed high hopes on chatbots, investing large sums in the technology’s automated ability to help customers help themselves. With the right tools, chatbots can be transformed into superheroes that handle huge volumes of customer inquiries, while improving CX and reducing costs.

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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

Powered by Amazon Lex , the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. This includes automatically generating accurate answers from existing company documents and knowledge bases, and making their self-service chatbots more conversational. Customize behavior using QnABot settings.

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How to Achieve Personalized Customer Service with AI Tools

TechSee

With unprecedented advances in algorithms and other machine learning tools, AI-enhanced solutions, such as virtual assistants or chatbots, can learn how to respond, engage or process many standard tasks — including customer service queries. . Virtual Assistants. AI Innovations that can boost personalized customer service.

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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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2017 Is Out, 2018 Is In – What Will Customer Service Look Like This Year?

Comm100

That is why reducing customer effort was voted the number one priority for contact centers in 2018. This statistic comes from CCW Digital’s latest Winter Executive Report – a report that analyzes the customer service priorities of several organizations to discover the most popular goals and strategies for call centers in 2018.