Skip to main content

Press release · October 26, 2026 · prnewswire.com

Oracle expands Autonomous AI Lakehouse with semantic layer

Summary

Oracle has introduced new capabilities for Autonomous AI Lakehouse that aim to give users and AI agents business context, support multidimensional simulations, and strengthen data governance across the enterprise data estate. The company framed the changes around agents that need business context and policy controls to act on enterprise data.

Customers can now work with real-time operational data alongside Apache Iceberg tables while preserving business context, applying unified data governance, and avoiding unnecessary data movement. The updates build on the platform's open, high-performance foundation.

The AI Data Catalog gives a holistic view of enterprise data by mounting external catalogs, Oracle and non-Oracle databases, Iceberg tables, applications, and object store data without duplicating it, and it can query these sources live through the Oracle engine. A Business Semantic Layer converts raw data into business-aware information using catalog annotations, imported Oracle AI Database SQL annotations, and AI-suggested analytic views.

Expanded Iceberg support lets customers create, populate, update, and delete Iceberg tables with familiar SQL, and supports reusable data products with time-travel capabilities for auditability and recovery. Data Lake Accelerator delivered query execution up to 3X faster in benchmark tests on 100 TB TPC-DS data sets. A single control plane in the AI Data Catalog applies role-based, object-level access controls across Oracle, non-Oracle, and Iceberg data.

The Business Simulation Engine, built by natively integrating Oracle Essbase inside Autonomous AI Lakehouse, supports multidimensional simulations and what-if analyses on lakehouse data. It includes write-back, dynamic hierarchy rollups, and allocations. Liberty Energy, a North American energy services company serving oil and natural gas producers, is using the platform to unify financial, operational, supply chain, and workforce data across its multicloud environment.

Rhett Rowan, vice president of IT at Liberty Energy, said “Oracle Autonomous AI Lakehouse gives decision-makers real-time visibility into field revenue, inventory usage, costs, and profitability.” According to Oracle, the AI Data Catalog and Business Semantic Layer capabilities will be available within the next 12 months.

Our summary. The original keeps its own byline.

Read the original on prnewswire.com

Companies in this article

Topics

Mentions

Structured data (JSON-LD)

The schema.org markup this page publishes for search engines and AI agents, exactly as they read it.

[
  {
    "@context": "https://schema.org",
    "@id": "https://decisioninsights.ai/#website",
    "@type": "WebSite",
    "name": "Decision Insights",
    "potentialAction": {
      "@type": "SearchAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://decisioninsights.ai/search/?q={search_term_string}&submit=1"
      }
    },
    "publisher": {
      "@id": "https://decisioninsights.ai/#organization"
    },
    "url": "https://decisioninsights.ai"
  },
  {
    "@context": "https://schema.org",
    "@id": "https://decisioninsights.ai/#organization",
    "@type": "Organization",
    "contactPoint": {
      "@type": "ContactPoint",
      "contactType": "customer support",
      "email": "[email protected]"
    },
    "description": "Decision Insights is a Registry of technology companies, open source projects, and industry terms, built for people and for AI agents that need sourced, structured information.",
    "legalName": "Wiretap Labs, LLC",
    "logo": {
      "@type": "ImageObject",
      "url": "https://wiretap-cdn-assets.nyc3.cdn.digitaloceanspaces.com/decision-insights/[email protected]"
    },
    "name": "Decision Insights",
    "parentOrganization": {
      "@type": "Organization",
      "name": "Wiretap Labs",
      "sameAs": [
        "https://www.linkedin.com/company/wiretap-labs",
        "https://www.crunchbase.com/organization/wiretap-labs"
      ],
      "url": "https://wiretaplabs.com"
    },
    "publishingPrinciples": "https://decisioninsights.ai/standards/",
    "sameAs": [
      "https://www.linkedin.com/company/decisioninsights"
    ],
    "url": "https://decisioninsights.ai"
  },
  {
    "@context": "https://schema.org",
    "@type": "BreadcrumbList",
    "itemListElement": [
      {
        "@type": "ListItem",
        "item": "https://decisioninsights.ai",
        "name": "Decision Insights",
        "position": 1
      },
      {
        "@type": "ListItem",
        "item": "https://decisioninsights.ai/records/",
        "name": "Records",
        "position": 2
      },
      {
        "@type": "ListItem",
        "item": "https://decisioninsights.ai/oracle-expands-autonomous-ai-lakehouse-with-semantic-layer/",
        "name": "Oracle expands Autonomous AI Lakehouse with semantic layer",
        "position": 3
      }
    ]
  },
  {
    "@context": "https://schema.org",
    "@id": "https://decisioninsights.ai/oracle-expands-autonomous-ai-lakehouse-with-semantic-layer/#blogposting",
    "@type": "NewsArticle",
    "about": {
      "@id": "https://decisioninsights.ai/registry/dyn-wine0q/#organization",
      "@type": "Organization",
      "mainEntityOfPage": "https://decisioninsights.ai/registry/dyn-wine0q/",
      "name": "Oracle"
    },
    "audience": [
      {
        "@type": "Audience",
        "additionalType": "Seniority",
        "audienceType": "Director"
      },
      {
        "@type": "Audience",
        "additionalType": "Job function",
        "audienceType": "Data Analytics / Data Science / Data Architect"
      },
      {
        "@type": "Audience",
        "additionalType": "Persona",
        "audienceType": "Data / AI Platform Architect"
      },
      {
        "@type": "Audience",
        "additionalType": "Buyer role",
        "audienceType": "Architect / Technical Evaluator"
      },
      {
        "@type": "Audience",
        "additionalType": "Adoption curve",
        "audienceType": "Early Adopters"
      },
      {
        "@type": "Audience",
        "additionalType": "Technology maturity",
        "audienceType": "Operational Expansion"
      },
      {
        "@type": "Audience",
        "additionalType": "Industry",
        "audienceType": "Information Technology / Cloud & Infrastructure Software / Data Infrastructure & Analytics / Data Lakehouse & Analytical Data Platforms"
      }
    ],
    "author": {
      "@id": "https://decisioninsights.ai/author/decision-insights-signals/#person",
      "@type": "Person",
      "name": "Decision Insights Record",
      "url": "https://decisioninsights.ai/author/decision-insights-signals/"
    },
    "dateModified": "2026-10-26T06:45:58-06:00",
    "datePublished": "2026-10-26T06:45:53-06:00",
    "description": "Oracle's Autonomous AI Lakehouse adds a business semantic layer, expanded Iceberg support, and multidimensional simulation capabilities for enterprise data.",
    "headline": "Oracle expands Autonomous AI Lakehouse with semantic layer",
    "isBasedOn": {
      "@type": "CreativeWork",
      "sourceOrganization": {
        "@type": "Organization",
        "name": "Cision"
      },
      "url": "https://www.prnewswire.com/news-releases/oracle-advances-autonomous-ai-lakehouse-with-business-semantic-layer-and-expanded-support-for-iceberg-data-302919018.html"
    },
    "keywords": [
      "Data",
      "Data Catalog",
      "Data Governance",
      "Enterprise",
      "Semantic Layer"
    ],
    "mainEntityOfPage": {
      "@id": "https://decisioninsights.ai/oracle-expands-autonomous-ai-lakehouse-with-semantic-layer/",
      "@type": "WebPage",
      "sdDatePublished": "2026-10-26",
      "sdPublisher": {
        "@id": "https://decisioninsights.ai/#organization"
      }
    },
    "mentions": [
      {
        "@id": "https://decisioninsights.ai/registry/customers/#organization",
        "@type": "Organization",
        "mainEntityOfPage": "https://decisioninsights.ai/registry/customers/",
        "name": "Customers"
      },
      {
        "@id": "https://decisioninsights.ai/registry/data/#organization",
        "@type": "Organization",
        "mainEntityOfPage": "https://decisioninsights.ai/registry/data/",
        "name": "Data"
      },
      {
        "@id": "https://decisioninsights.ai/registry/dyn-wine0q/#organization",
        "@type": "Organization",
        "mainEntityOfPage": "https://decisioninsights.ai/registry/dyn-wine0q/",
        "name": "Oracle"
      },
      {
        "@id": "https://decisioninsights.ai/registry/services/#organization",
        "@type": "Organization",
        "mainEntityOfPage": "https://decisioninsights.ai/registry/services/",
        "name": "services"
      },
      {
        "@id": "https://decisioninsights.ai/projects/apache-iceberg/#project",
        "@type": "SoftwareSourceCode",
        "mainEntityOfPage": "https://decisioninsights.ai/projects/apache-iceberg/",
        "name": "Apache Iceberg"
      }
    ],
    "publisher": {
      "@id": "https://decisioninsights.ai/#organization"
    }
  },
  {
    "@context": "https://schema.org",
    "@id": "https://decisioninsights.ai/author/decision-insights-signals/#person",
    "@type": "Person",
    "description": "Press releases and independent analyst research, structured into concise summaries for research and monitoring. Produced under our Standards & Methodology.",
    "name": "Decision Insights Record",
    "sameAs": [
      "https://www.linkedin.com/showcase/decisioninsights/"
    ],
    "url": "https://decisioninsights.ai/author/decision-insights-signals/"
  }
]

Is this your company? Get structured data for your own pages