Remove Actionable Intelligence 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

Traditionally, transforming raw data into actionable intelligence has demanded significant engineering effort. Built with responsible AI, Amazon Bedrock Data Automation enhances transparency with visual grounding and confidence scores, allowing outputs to be validated before integration into mission-critical workflows.

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Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

AWS Machine Learning Blog

This knowledge base allows the models to understand and respond based on the companys unique terminology, products, and processes, enabling deeper analysis and more actionable intelligence from customer interactions. This includes a summary, the category, the root cause, and other high-level fields generated from a call transcript.

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Evaluate and improve performance of Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

The Amazon Bedrock evaluation tool provides a comprehensive assessment framework with eight metrics that cover both response quality and responsible AI considerations. Implement metadata filtering , adding contextual layers to chunk retrieval. For example, prioritizing recent information in time-sensitive scenarios.