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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

Government departments and businesses operate contact centers to connect with their communities, enabling citizens and customers to call to make appointments, request services, and sometimes just ask a question. These options are unsatisfying to callers who just want to ask an agent a question to get an answer quickly.

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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. 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.

Meeting 109
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7 Knowledge Management Best Practices That Drive Great Customer Service

Uniphore

Why are so many knowledge bases inefficient to use when contact centers invest so much money in them? See where your contact center makes its mark or could use a little improvement. An “outside in” approach requires you to think about the user experience as you design, rather than just basic functionality.

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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. Generated answers can be modified to create the best experience for the intended channel.