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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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Millennial Generation Customer Service – The Ultimate Guide

TechSee

This penchant for technology has shaped their consumer behavior and preferences, and brands must tailor their customer service strategies to suit Millennials’ attributes. They also value brand engagement over social networks as well. I’ll help myself, thanks: Called the Do-It-Yourself Generation, Millennials love self-service.

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6 Ways to Take the Lead in Customer Self-Service

Tricia Morris

The goal of self-service is to make things easier for both the customer (to find information) and customer service agents (to deflect information requests from assisted service). Expectations for, and of, self-service are growing at a rapid pace. But making things easier always begins with hard work.

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CCaaS Trends: The Evolution of Cloud Contact Centres

Lumoa

In the age of smartphones, where support is only a click away, consumers have massive expectations when it comes to customer service. In fact, it’s such a huge deal for customers today that it has overtaken price and product as the key brand differentiator.

Trends 208
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Meet Sophie AI: The Future of Service

TechSee

This allows field service teams to learn from the contact center, the contact center to learn from customer self-service, and management to gain a 360° view of all service interactions. Sophie AI Agent The full transformational value of Generative AI will be in customer service automation.

Meeting 109
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7 Examples of What Businesses Can Achieve with Better Natural Language Processing

UJET

Instances like this are far too common among companies that don’t have advanced NLP, and they cause not only frustration and lost sales but also feelings of discrimination , which undermines trust in your brand. It can even help chatbots and virtual agents pick up where conversations last left off.

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7 Examples of What Businesses Can Achieve with Better Natural Language Processing

UJET

Instances like this are far too common among companies that don’t have advanced NLP, and they cause not only frustration and lost sales but also feelings of discrimination , which undermines trust in your brand. It can even help chatbots and virtual agents pick up where conversations last left off.