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Why You Don’t Need an AI Support Chatbot

Help Scout

Artificial intelligence (AI) shows incredible promise in 2021, but the experience of interacting with an AI chatbot is more like talking to a distracted toddler than it is to Tony Stark’s Jarvis. Still, using AI chatbots for customer service makes plenty of sense. Let’s first understand what an AI chatbot actually is.

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Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

AWS Machine Learning

The rise of artificial intelligence (AI) has created opportunities to improve the customer experience in the contact center space. Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics.

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Why Voice Chatbots Are Set to Disrupt Customer Service

Inbenta

Contents: What is voice search and what are voice chatbots? Text-to-speech and speech-to-text chatbots: how do they work? How to build a voice chatbot: integrations powered by Inbenta. Why launch a voice-based chatbot project: adding more value to your business. What is voice search and what are voice chatbots?

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5 Recommendations to Evaluate Your Chatbots and IVR for Elevated CX

NICE inContact

Traditionally quality management in the contact center has been focused on evaluating agent-assisted interactions — mainly phone. But even if you’re already evaluating your chat and email interactions, you may need to expand your QM program to address an even bigger gap in the customer experience — your online assistants/chatbots and IVR.

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The Health of the Contact Center: Are You Ready for 2019?

A survey of 1,000 contact center professionals reveals what it takes to improve agent well-being in a customer-centric era. This report is a must-read for contact center leaders preparing to engage agents and improve customer experience in 2019.

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GPT-NeoXT-Chat-Base-20B foundation model for chatbot applications is now available on Amazon SageMaker

AWS Machine Learning

Today we are excited to announce that Together Computer’s GPT-NeoXT-Chat-Base-20B language foundation model is available for customers using Amazon SageMaker JumpStart. GPT-NeoXT-Chat-Base-20B is an open-source model to build conversational bots. You can easily try out this model and use it with JumpStart.

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Building AI chatbots using Amazon Lex and Amazon Kendra for filtering query results based on user context

AWS Machine Learning

It indexes the documents stored in a wide range of repositories and finds the most relevant document based on the keywords or natural language questions the user has searched for. Additional refinement is needed to find the documents specific to that user or user group as the top search result.