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Multimodal User Experience Design Best Practices

Uniphore

Multimodal Virtual Agents allow customers to tap, text and talk to get more done , with little effort. Offering variety can help create more successful outcomes for customers with a lower AHT for agents — a win on both sides of the phone line. How to build a smarter IVR with a multimodal user expereience. View Webinar.

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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. per contact—a virtual agent can potentially save $7.91 (98%) for every call it successfully handles.

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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 chatbots demanded a lot of effort from users and administrators. Rarely were either left with a very positive experience. In contrast, Sophie AI is trained like today’s human agents and engineers.

Meeting 109
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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

This includes automatically generating accurate answers from existing company documents and knowledge bases, and making their self-service chatbots more conversational. It also provides attribution and transparency by displaying links to the reference documents and context passages that were used by the LLM to construct the answers.

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Evaluate conversational AI agents with Amazon Bedrock

AWS Machine Learning

As conversational artificial intelligence (AI) agents gain traction across industries, providing reliability and consistency is crucial for delivering seamless and trustworthy user experiences. The principal must have the permissions to call the target agent. Refer to the agent-evaluation target documentation for details.

Insurance 126
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The Most Popular NLP Use Cases

Inbenta

Text summarization is the process of shortening a text and generating a concise summary whilst retaining the core idea and message conveyed by the initial document. Sentiment analysis tries to gauge the overall mood of a text or document, by analyzing the language used in these contents. Virtual agents and chatbots.

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7 Knowledge Management Best Practices That Drive Great Customer Service

Uniphore

An “outside in” approach requires you to think about the user experience as you design, rather than just basic functionality. Semantic analytics can be used to examine documents with a higher level of intelligence than a pure keyword search. List your CX goals beforehand.