ATTOM Adds Semantic Views for Property Data in Snowflake

Oct 13, 2026
ATTOM has released Semantic Views that add business context to its property data in Snowflake, supporting natural language queries and AI analysis.

ATTOM announced in a press release the availability of Semantic Views for its property data delivered through Snowflake. The views use Snowflake's native Semantic View technology to add business context and defined relationships to property records.

The semantic layer helps AI systems interpret how data connects and supports questions in natural language. ATTOM says its definitions and logic can reduce the work required for customers to build and maintain their own semantic models.

The initial version 1.0 release is available across a growing selection of ATTOM property data products in Snowflake. The company plans to expand coverage, strengthen data relationships and refine the context in future releases.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Daily AI Brief.

Also, consider following us on social media:

AI Brief AI Brief (X)
Free newsletter

Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

AI Token Webinar

Market report

2025 Generative AI in Professional Services Report

Thomson Reuters

This report by Thomson Reuters explores the integration and impact of generative AI technologies, such as ChatGPT and Microsoft Copilot, within the professional services sector. It highlights the growing adoption of GenAI tools across industries like legal, tax, accounting, and government, and discusses the challenges and opportunities these technologies present. The report also examines professionals' perceptions of GenAI and the need for strategic integration to maximize its value.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.