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Amazon Quick enhances AI analytics with document control and prompt-based dashboards

By PulseAugur Editorial · [5 sources] ·

Amazon Quick, an AI-powered analytics service, has introduced several new features to enhance data access and usability. Document-level access control lists (ACLs) are now supported for Amazon S3 knowledge bases, allowing for granular permissions to restrict sensitive documents. Additionally, cross-account access for Amazon Athena enables querying data across different AWS accounts while billing remains with the data owner. The service also now allows users to generate entire dashboards from natural language prompts, streamlining the analysis process. AI

IMPACT Enhances enterprise data governance and accelerates insight generation through improved access controls and generative AI capabilities.

RANK_REASON The cluster describes new features and enhancements for an existing AI-powered product, Amazon Quick.

Read on AWS Machine Learning Blog →

AI-generated summary · Google Gemini · from 5 sources. How we write summaries →

Amazon Quick enhances AI analytics with document control and prompt-based dashboards

COVERAGE [5]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Josh DeMuth ·

    Restrict access to sensitive documents in your Amazon Quick knowledge bases for Amazon S3

    In this post, we walk through how to configure document-level ACLs for your S3 knowledge base in Amazon Quick. You will learn how to set up and verify an ACL configuration that enforces document-level permissions across chat and automated workflows.

  2. AWS Machine Learning Blog TIER_1 English(EN) · Vignessh Baskaran ·

    From siloed data to unified insights: Cross-account Athena Access for Amazon Quick

    Today, we're announcing cross-account Athena access for Amazon Quick. With this feature, customers can query Athena data in other AWS accounts using AWS Identity and Access Management (IAM) role chaining, with query costs billed to the account where the data resides.

  3. AWS Machine Learning Blog TIER_1 English(EN) · Salim Khan ·

    Generate dashboards from natural language prompts in Amazon Quick

    Building meaningful dashboards demands hours of manual setup, even for experienced BI professionals. Amazon Quick now generates complete multi-sheet dashboards from natural language prompts, taking you from one or more datasets to a production-ready analysis in minutes. Data…

  4. AWS Machine Learning Blog TIER_1 English(EN) · Raji Sivasubramaniam ·

    From data lake to AI-ready analytics: Introducing new data source with S3 Tables in Amazon Quick

    Amazon Quick introduces Amazon S3 Tables (Apache Iceberg tables) as a new data source. With this feature, customers can directly query and visualize Apache Iceberg tables stored in an Amazon S3 table bucket without the need for intermediate data layers. In this post, we explored …

  5. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    🤖 From data lake to AI-ready analytics: Introducing new data source with S3 Tables in Amazon Quick Amazon Quick introduces Amazon S3 Tables (Apache Iceberg tabl

    🤖 From data lake to AI-ready analytics: Introducing new data source with S3 Tables in Amazon Quick Amazon Quick introduces Amazon S3 Tables (Apache Iceberg tables) as a new data source. With this feature, customers can directly query and visualize Apache Iceberg tables stored in …

    LINKS aws.amazon.com/…/from-data-lake-to-ai-rea…

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