Remove Chatbots Remove Data Remove Interaction Remove Multi-Channel
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Delight your customers with great conversational experiences via QnABot, a generative AI chatbot

AWS Machine Learning

You can now provide contextual information from your private data sources that can be used to create rich, contextual, conversational experiences. Solution overview QnABot on AWS is an AWS Solution that enterprises can use to enable a multi-channel, multi-language chatbot with NLU to improve end customer experiences.

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The Game-Changer: Why Omnichannel Comms is Critical for Gaming

Comm100

Omnichannel communication is about delivering a seamless player experience, regardless of how they interact. Whether it’s via live chat , SMS , AI chatbot , or ticketing , players expect a consistent, high-quality interaction across every channel. However, not all chatbots are created equal.

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A Fair Guide to the Best Customer Service Automation Software

Comm100

Here are the key features, channels and tools of customer service automation software: Chatbots : These are AI-driven tools that can engage with customers in real-time on websites, apps, or messaging platforms. Analytics and Reporting : Gather data on customer interactions, identify trends, and make improvements based on insights.

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How Contact Center Optimization Can Improve Your Bottom Line

InMoment XI

A contact center is a centralized facility or department used by organizations to manage customer interactions through various communication channels, such as phone calls, emails, chat, and social media. The goal is to enhance the customer experience, streamline operations, and achieve cost savings.

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How Live Chat Improves the Digital Customer Experience

Comm100

To begin the journey towards improving CX, organizations must offer live chat – and in this blog we will explain why. Among the many reasons for live chat’s popularity, speed is king. Unlike phone support, live chat lets support agents handle multiple concurrent conversations. Response speed.

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The Complete Guide to Mastering Contact Center Analytics

InMoment XI

In the era of customer-centricity, contact center analytics stands as a beacon, guiding businesses and contact centers toward informed, data-driven decisions. Contact center analytics are akin to a master storyteller, weaving tales from myriad data points and interactions. Why Are Contact Center Analytics Essential?

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Large language model inference over confidential data using AWS Nitro Enclaves

AWS Machine Learning

LLMs have broad applicability, including chatbots, content generation, language translation, sentiment analysis, question answering systems, search engines, and code generation. Most current LLM chatbot solutions explicitly inform users that they should not include PII or PHI when inputting questions due to security concerns.

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