Remove solutions content-creation-and-management content-authoring
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Boost your content editing with Contentful and Amazon Bedrock

AWS Machine Learning

This post is co-written with Matt Middleton from Contentful. Today, jointly with Contentful, we are announcing the launch of the AI Content Generator powered by Amazon Bedrock. This app helps content producers reduce their lead time to publishing content while enhancing the quality and consistency of the content produced.

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Guest Post: Importance of a Single Source of Truth for Customer Service?

ShepHyken

This week we feature an article by Sowmya Juttukonda, content developer & digital media strategist at Knowmax , a knowledge management system to enhance customer service. It’s everything in one place, on one platform, and it’s all managed by the best authority. Therefore complications are unlikely. .

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Translate documents in real time with Amazon Translate

AWS Machine Learning

Businesses today want to connect with their customers by offering their content across multiple languages in real time. For most customers, the content creation process is disconnected from the localization effort of translating content into multiple target languages. Specify the language of the target file as French.

APIs 81
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Reshaping The Future Of Digital Customer Service: 22 Influential Leaders to Watch in 2022

TechSee

By leveraging new technologies such as computer vision , virtual visits and self-service AI-driven solutions, companies have a huge opportunity to turn customers into brand advocates. With a career spanning over 20 years, Eric has an extensive amount of experience in Contact Center and 3rd party and onshore vendor management.

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Role of Structured Content and Semantic AI in Powering Guided Experiences

CSM Magazine

They shared their rich expertise and experience in powering guided experiences through structured content and semantic AI. The panel agrees that structured content and semantic AI are essential for employees and customers of an organization to reduce heavy reliance on the knowledge and expertise of a select few employees.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

It allows you to seamlessly customize your RAG prompts and retrieval strategies—we provide the source attribution, and we handle memory management automatically. It allows you to seamlessly customize your RAG prompts and retrieval strategies—we provide the source attribution, and we handle memory management automatically.

APIs 112
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Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models

AWS Machine Learning

However, it’s possible to cross-reference a model answer with the original specialized content, thereby avoiding the need to train a new LLM model, using Retrieval-Augmented Generation (RAG). This synergy enables more accurate topic modeling, content recommendation, and semantic search capabilities.