ATTOM Launches Semantic Views for Property Data in Snowflake
On October 13, 2026, ATTOM introduced Semantic Views as part of its property data offering through Snowflake. This new feature adds a layer of business context to ATTOM's extensive real estate dataset using Snowflake’s native technology, enabling AI systems and users to better understand how the information connects and should be used. Semantic Views simplify complex queries by allowing organizations to use natural language for analysis while reducing development time through pre-defined data relationships. The feature is designed to evolve over time with future enhancements planned based on customer needs. ATTOM aims to extend its advantage in property data analytics by continuously curating the semantic layer, helping customers avoid building and maintaining their own knowledge frameworks. The initial v1.0 release marks a strategic step forward for ATTOM’s AI-powered analytics roadmap. The company plans ongoing improvements as new use cases emerge.
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Topics: AI property_data Semantic_Views Snowflake