Oracle Advances Autonomous AI Lakehouse with Business Semantic Layer and Expanded Support for Iceberg Data
Key Highlights
- ➤Oracle expands Autonomous AI Lakehouse with business semantic layer and Iceberg support
- ➤Data Lake Accelerator delivers up to 3X faster queries on 100 TB TPC-DS datasets
- ➤Business Simulation Engine adds multidimensional simulations and what-if analysis
- ➤AI Data Catalog and semantic-layer capabilities expected within the next 12 months
- ➤Liberty Energy unifies financial, operational, supply-chain, and workforce data using Oracle Lakehouse
Expert Statements
Çetin Özbütün, Executive vice president, Autonomous AI Database Technologies, Oracle
“Giving AI access to enterprise data is not enough. To make informed decisions and take trusted action, AI agents need to understand the business context behind that data and operate within an organization's rules and policies.”
Çetin Özbütün, Executive vice president, Autonomous AI Database Technologies, Oracle
“By bringing business semantics and multidimensional modeling together with open data access and unified data governance, the latest updates to Autonomous AI Lakehouse help organizations give AI agents the context and controls to interpret enterprise data, apply business rules, and support trusted actions.”
Rhett Rowan, Vice president of IT, Liberty Energy
“Oracle Autonomous AI Lakehouse gives decision-makers real-time visibility into field revenue, inventory usage, costs, and profitability.”
Rhett Rowan, Vice president of IT, Liberty Energy
“It seamlessly brings together Apache Iceberg tables with data from Amazon S3, Amazon databases, Microsoft SQL Server on Azure, MongoDB, and PostgreSQL, making it easy to add new data sources to power AI, analytics, and business simulations.”
Dave Vellante, Co-founder and chief analyst, theCUBE
“We believe the next phase of enterprise AI will depend on connecting data access with the business context needed to make useful decisions.”
Dave Vellante, Co-founder and chief analyst, theCUBE
“Oracle's Autonomous AI Lakehouse takes a significant step in that direction by bringing together governed access to Oracle and non-Oracle data, shared business definitions, AI-assisted analytics and multidimensional what-if planning.”
Dave Vellante, Co-founder and chief analyst, theCUBE
“This combination can help enterprises ground agent workflows in the metrics and relationships that matter to their business and evaluate options using a more consistent analytical foundation.”
Dave Vellante, Co-founder and chief analyst, theCUBE
“Realizing that value requires accurate business definitions and clear controls over execution.”
Dave Vellante, Co-founder and chief analyst, theCUBE
“Oracle is strengthening the lakehouse as a practical foundation for planning, informed decisions and agentic workflows.”
Oracle Advances Autonomous AI Lakehouse with Business Semantic Layer and Expanded Support for Iceberg Data PR Newswire
New capabilities ground AI agents in business context, enable multidimensional simulations, and govern data consistently across the enterprise data estate, without costly data movement
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