--- title: Oracle adds a semantic layer to ground AI agents in the... description: Oracle is adding a Business Semantic Layer to its Autonomous AI Lakehouse to give AI agents a consistent understanding of enterprise metrics, hierarchies, and... canonical: https://daily.dev/posts/oracle-adds-a-semantic-layer-to-ground-ai-agents-in-the-business-context-wbi7iqqrm twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Oracle adds a semantic layer to ground AI agents in the business context | daily.dev og:description: Oracle is adding a Business Semantic Layer to its Autonomous AI Lakehouse to give AI agents a consistent understanding of enterprise metrics, hierarchies, and... og:url: https://daily.dev/posts/oracle-adds-a-semantic-layer-to-ground-ai-agents-in-the-business-context-wbi7iqqrm og:image: https://api.daily.dev/og/posts/WbI7iqqrm.png og:image:alt: Oracle adds a semantic layer to ground AI agents in the business context og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Oracle adds a semantic layer to ground AI agents in the business context **[InfoWorld](https://daily.dev/sources/infoworld)** · 5 min read · 0 upvotes · 0 comments ## Summary Oracle is adding a Business Semantic Layer to its Autonomous AI Lakehouse to give AI agents a consistent understanding of enterprise metrics, hierarchies, and KPIs. It uses catalog annotations, SQL annotations from Oracle AI Database, and AI-suggested analytic views. These models feed Oracle's natural-language querying and analytics tools, including Select AI, and will be available within 12 months. Oracle also launched a Business Simulation Engine built on Oracle Essbase for forecasting, what-if analysis, write-back, and allocations, plus expanded Apache Iceberg support letting customers create, update, and delete Iceberg tables via SQL. Analysts note the semantic layer requires ongoing governance to keep metrics accurate, and Oracle hasn't set availability dates for the simulation engine or Iceberg updates. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is Oracle's Business Semantic Layer and how does it work with AI agents? It's a feature in Oracle's Autonomous AI Lakehouse that gives AI agents a consistent understanding of enterprise data. It uses catalog annotations, SQL annotations imported from Oracle AI Database, and AI-suggested analytic views to build reusable models capturing dimensions, measures, hierarchies, calculations, and KPIs, which then feed tools like Select AI for consistent natural-language querying. _Teams building reliable AI analytics pipelines can follow enterprise semantic layer rollouts like this on daily.dev._ ### What does Oracle's new Business Simulation Engine do? It integrates Oracle Essbase into the Autonomous AI Lakehouse to help enterprises run forecasting and what-if planning scenarios. Beyond forecasting, it supports write-back, dynamic hierarchy rollups, advanced calculations, and allocations, and lets users ask questions in natural language, generate simulation reports, and do Excel-based analysis on data in Oracle databases or object storage. _Developers comparing planning and analytics platforms can track this kind of feature news on daily.dev._ ### What new Apache Iceberg capabilities is Oracle adding to its AI Lakehouse? Oracle is letting customers create, populate, update, and delete Iceberg tables directly using SQL, while improving performance and functionality for accessing Iceberg data through external catalogs or its AI Data Catalog. This lets data engineers work with a single copy of data via SQL while still using it alongside platforms like Apache Spark, Snowflake, or Databricks. _Data engineers weighing Iceberg interoperability across platforms can keep up with updates like this on daily.dev._ ## Similar posts on daily.dev - [Oracle adds pre-built agents to Private Agent Factory in AI Database 26ai](https://daily.dev/posts/oracle-adds-pre-built-agents-to-private-agent-factory-in-ai-database-26ai-txlnl0oyd) · InfoWorld · 1 upvotes · 0 comments - [Building a Context Layer for AI Agents](https://daily.dev/posts/building-a-context-layer-for-ai-agents-z4l85u5v6) · Snowflake · 1 upvotes · 0 comments - [Most Semantic Layers Were Built for BI: What a Semantic Layer for AI Requires](https://daily.dev/posts/most-semantic-layers-were-built-for-bi-what-a-semantic-layer-for-ai-requires-bpd6ufoso) · SD Times · 1 upvotes · 0 comments - [Ontology on Snowflake: Part 3 — AI-Powered Intelligence](https://daily.dev/posts/ontology-on-snowflake-part-3-ai-powered-intelligence-fxhaaczyc) · Snowflake Community · 0 upvotes · 0 comments - [How data catalog will become a tool for analytical AI agents ?](https://daily.dev/posts/how-data-catalog-will-become-a-tool-for-analytical-ai-agents--5kpkirpqv) · Medium · 0 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#data-engineering](https://daily.dev/tags/data-engineering), [#oracle](https://daily.dev/tags/oracle), [#apache-iceberg](https://daily.dev/tags/apache-iceberg) [View this post on daily.dev](https://daily.dev/posts/oracle-adds-a-semantic-layer-to-ground-ai-agents-in-the-business-context-wbi7iqqrm) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Oracle adds a semantic layer to ground AI agents in the business context","url":"https://daily.dev/posts/oracle-adds-a-semantic-layer-to-ground-ai-agents-in-the-business-context-wbi7iqqrm","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/oracle-adds-a-semantic-layer-to-ground-ai-agents-in-the-business-context-wbi7iqqrm"},"datePublished":"2026-10-26T12:33:19.394Z","dateModified":"2026-10-26T13:19:43.650Z","description":"Oracle is adding a Business Semantic Layer to its Autonomous AI Lakehouse to give AI agents a consistent understanding of enterprise metrics, hierarchies, and...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/b97d035d6108a3ed2569e67c26409367?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/b97d035d6108a3ed2569e67c26409367?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"InfoWorld","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"InfoWorld","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/bf6d68a999064029b0bb09aa6268f1f3","url":"https://daily.dev/sources/infoworld"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/oracle-adds-a-semantic-layer-to-ground-ai-agents-in-the-business-context-wbi7iqqrm","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai-agents,data-engineering,oracle,apache-iceberg","timeRequired":"PT5M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"InfoWorld","item":"https://daily.dev/sources/infoworld"},{"@type":"ListItem","position":3,"name":"Oracle adds a semantic layer to ground AI agents in the business context"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/oracle-adds-a-semantic-layer-to-ground-ai-agents-in-the-business-context-wbi7iqqrm#faq","mainEntity":[{"@type":"Question","name":"What is Oracle's Business Semantic Layer and how does it work with AI agents?","acceptedAnswer":{"@type":"Answer","text":"It's a feature in Oracle's Autonomous AI Lakehouse that gives AI agents a consistent understanding of enterprise data. 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