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AWS Quick adds Dataset Q&A for natural language querying of structured data

By PulseAugur Editorial · [1 sources] ·

Amazon Quick has launched a new feature called Dataset Q&A, which allows users to query structured datasets using natural language. This tool translates user questions into SQL queries, providing direct access to data without requiring pre-configured dashboards or curated fields. The system aims to resolve ambiguities in business language and map them to precise data schema elements, enhancing productivity for business users and data teams. Dataset Q&A also includes Chat Explainability to provide transparency into the query process and Dataset Enrichment for authors to provide contextual information. AI

IMPACT Enhances data accessibility for business users by enabling natural language querying of structured datasets.

RANK_REASON This is a new feature for an existing product, not a paradigm-shifting release or a standalone model.

Read on AWS Machine Learning Blog →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AWS Quick adds Dataset Q&A for natural language querying of structured data

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This is a new feature for an existing product, not a paradigm-shifting release or a standalone model.
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COVERAGE [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Surendran Raju ·

    Introducing Dataset Q&A: Expanding natural language querying for structured datasets in Amazon Quick

    In this post, you learn how to get started with Dataset Q&amp;A, explore real-world use cases with hands-on examples, and discover advanced capabilities like auto-discovery across all your data assets and multi-dataset querying in a single conversation.

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