# Enrich Your Datasets with Business Context: Migrating From Legacy Topics to Semantic Datasets in Amazon Quick

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-07-07T17:07:57.000Z  
> **Category:** RESEARCH  
> **Impact Score:** 220/100  
> **Primary Source:** [AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/enrich-your-datasets-with-business-context-migrating-from-legacy-topics-to-semantic-datasets-in-amazon-quick)  
> **Canonical Citation:** [https://spidits.com/timeline/enrich-your-datasets-with-business-context-migrating-from-legacy-topics-to](https://spidits.com/timeline/enrich-your-datasets-with-business-context-migrating-from-legacy-topics-to)

## Executive Summary
In this post, we walk through what Dataset Enrichment is, how it differs from legacy Topics, and provide three migration scenarios with step-by-step guidance.

## Why It Matters (Strategic Analysis)
Amazon Quick introduces Dataset Enrichment, a feature that embeds business context directly into datasets, replacing legacy Topics and streamlining data management.

## Referenced Coverage & Sources
- **[AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/enrich-your-datasets-with-business-context-migrating-from-legacy-topics-to-semantic-datasets-in-amazon-quick)**: Enrich your datasets with business context: Migrating from legacy Topics to semantic datasets in Amazon Quick — _In this post, we walk through what Dataset Enrichment is, how it differs from legacy Topics, and provide three migration scenarios with step-by-step guidance..._

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