October, 2024

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

This post presents a solution where you can upload a recording of your meeting (a feature available in most modern digital communication services such as Amazon Chime ) to a centralized video insights and summarization engine. All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers.

Video 112
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Customer Experience in Insurance: Strategies to Boost Customer Satisfaction

InMoment XI

They expect the company to have a record of their communication so far to ensure minimal delay. The InMoment platform is built to help you monitor and analyze data from multiple sources such as reviews, calls, and survey responses. Their resources allow them to offer innovative digital experiences and quick services.

Insurance 195
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Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

AWS Machine Learning

Steps 4–8 – The Lambda function orchestrates a series of Amazon Bedrock calls to a multimodal model, an LLM, and a text-embedding model: Query the Claude V3 Sonnet model with the query and image to produce a text description. However, it retains the powerful 470 hp V8 engine and has been well-maintained with service records.

Chatbots 126
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Next-generation learning experience using Amazon Bedrock and Anthropic’s Claude: Innovation from Classworks

AWS Machine Learning

Wittly’s innovative approach centers on two key aspects: Harnessing Anthropic’s Claude in Amazon Bedrock for advanced AI capabilities – Wittly uses Amazon Bedrock to seamlessly integrate with Anthropic’s Claude Sonnet 3.5, a state-of-the-art large language model (LLM).

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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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Create a next generation chat assistant with Amazon Bedrock, Amazon Connect, Amazon Lex, LangChain, and WhatsApp

AWS Machine Learning

The inbound message handler records the user’s contact details in Amazon DynamoDB. After you save the block, add another block called “Disconnect.” About the Authors Kenton Blacutt is an AI Consultant within the GenAI Innovation Center. She likes to develop creative and innovative solutions, applying special emphasis on details.

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The State of the Retail Contact Center: Where It’s At — and Where it Can Go

Interactions

Choosing a partner with deep expertise and a track record of innovation can help retailers address each concern. This leads to a 97% accuracy rate and much quicker time to value, as the AI and ML don’t need to learn from failed calls and chats.