#Semantic Layer
8 articles with this tag
Neo4j: AI on Lakehouse with Context in Shapes
Neo4j's Zach Blumenfeld explores how AI agents can overcome data context limitations using graph representations, focusing on warehouse and document data.
Snowflake Taps Context for AI Trust
Snowflake's new Horizon Context feature aims to unify business logic for AI and BI, addressing trust issues caused by scattered data definitions.
AI's Financial Risk: The Semantic Layer Problem
Financial firms grapple with AI risk stemming from complex semantic layers, demanding greater data integrity and model explainability for safe deployment.
The Semantic Layer: Data's Single Source of Truth
The semantic layer translates raw data into business meaning, ensuring consistency for BI and AI, with modern architectures embedding this logic directly into the data platform.
Snowflake's Context Layer for Smarter Agents
Snowflake introduces an Agent Context Layer to provide AI agents with the necessary enterprise understanding for trustworthy data analysis.
Open Semantic Interchange v1.0 Ends Metric Drift
The Open Semantic Interchange v1.0 standardizes the semantic layer, allowing organizations to define business logic once and use it everywhere across BI and AI tools.
Open Semantic Interchange v1.0 Ends Metric Drift
Decades of data investment have been undermined by a fundamental flaw: the meaning of critical business metrics remains siloed across disparate tools.
