Remove Data Extraction Remove Metadata Remove Responsible AI
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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning Blog

The benefits of using Amazon Bedrock Data Automation Amazon Bedrock Data Automation provides a single, unified API that automates the processing of unstructured multi-modal content, minimizing the complexity of orchestrating multiple models, fine-tuning prompts, and stitching outputs together.

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Create a multimodal assistant with advanced RAG and Amazon Bedrock

AWS Machine Learning Blog

The solution uses Amazon Bedrock , a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, providing a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Align and monitor your Amazon Bedrock powered insurance assistance chatbot to responsible AI principles with AWS Audit Manager

AWS Machine Learning Blog

Amazon Bedrock Agents can be used to configure specialized agents that run actions seamlessly based on user input and your organizations data. These managed agents play conductor, orchestrating interactions between FMs, API integrations, user conversations, and knowledge bases loaded with your data.

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HCLTech’s AWS powered AutoWise Companion: A seamless experience for informed automotive buyer decisions with data-driven design

AWS Machine Learning Blog

Additionally, we discuss the design from security and responsible AI perspectives, demonstrating how you can apply this solution to a wider range of industry scenarios. Vector embedding and data cataloging To support natural language query similarity matching, the respective data is vectorized and stored as vector embeddings.

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