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Unlocking the power of structured data for enterprises using natural language with Amazon Q Business

1 minute read
Content level: Advanced
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This post discusses how you can build out an application that uses Amazon Q Business to query AWS Cost and Usage Reports (CUR) data in Amazon Athena.

In an enterprise environment, we encounter ongoing challenges with overcoming the disconnect between natural language and structured data. To effectively bridge the gap between your users and data and extract valuable insights from different data stores with natural language queries, use Amazon Q Business.

For more information, see Unlock the power of structured data for enterprises using natural language with Amazon Q Business.

AWS Support engineers and Technical Account Managers (TAMs) can help you with general guidance, best practices, troubleshooting, and operational support on AWS. To learn more about our plans and offerings, see AWS Support. To learn more about the suggested solution, contact your TAM or AWS account team.