Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight

Favorite Extracting valuable insights from customer feedback presents several significant challenges. Manually analyzing and categorizing large volumes of unstructured data, such as reviews, comments, and emails, is a time-consuming process prone to inconsistencies and subjectivity. Scalability becomes an issue as the amount of feedback grows, hindering the ability to respond

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Shared by AWS Machine Learning June 25, 2024

eSentire delivers private and secure generative AI interactions to customers with Amazon SageMaker

Favorite eSentire is an industry-leading provider of Managed Detection & Response (MDR) services protecting users, data, and applications of over 2,000 organizations globally across more than 35 industries. These security services help their customers anticipate, withstand, and recover from sophisticated cyber threats, prevent disruption from malicious attacks, and improve their

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Shared by AWS Machine Learning June 21, 2024

Connect to Amazon services using AWS PrivateLink in Amazon SageMaker

Favorite AWS customers that implement secure development environments often have to restrict outbound and inbound internet traffic. This becomes increasingly important with artificial intelligence (AI) development because of the data assets that need to be protected. Transmitting data across the internet is not secure enough for highly sensitive data. Therefore,

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Shared by AWS Machine Learning June 20, 2024

Evaluate the reliability of Retrieval Augmented Generation applications using Amazon Bedrock

Favorite Retrieval Augmented Generation (RAG) is a technique that enhances large language models (LLMs) by incorporating external knowledge sources. It allows LLMs to reference authoritative knowledge bases or internal repositories before generating responses, producing output tailored to specific domains or contexts while providing relevance, accuracy, and efficiency. RAG achieves this

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Shared by AWS Machine Learning June 20, 2024

Create natural conversations with Amazon Lex QnAIntent and Knowledge Bases for Amazon Bedrock

Favorite Customer service organizations today face an immense opportunity. As customer expectations grow, brands have a chance to creatively apply new innovations to transform the customer experience. Although meeting rising customer demands poses challenges, the latest breakthroughs in conversational artificial intelligence (AI) empowers companies to meet these expectations. Customers today

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Shared by AWS Machine Learning June 20, 2024

Deploy a Slack gateway for Amazon Bedrock

Favorite In today’s fast-paced digital world, streamlining workflows and boosting productivity are paramount. That’s why we’re thrilled to share an exciting integration that will take your team’s collaboration to new heights. Get ready to unlock the power of generative artificial intelligence (AI) and bring it directly into your Slack workspace.

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Shared by AWS Machine Learning June 19, 2024