Oracle announced new capabilities for Oracle Autonomous AI Lakehouse that help organizations give users and AI agents business context, perform multidimensional simulations, and strengthen data governance across the enterprise data estate. Building on Autonomous AI Lakehouse’s open, high-performance foundation, the latest updates let customers work with real-time operational data alongside data in Apache Iceberg tables, while preserving business context, applying unified data governance, and avoiding unnecessary data movement.
“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,” said 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.”
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Liberty Energy, a North American energy services company serving oil and natural gas producers, is using Oracle Autonomous AI Lakehouse to unify financial, operational, supply chain, and workforce data across its multicloud environment. This gives Liberty a unified data foundation for AI, analytics, and business simulations.
“Oracle Autonomous AI Lakehouse gives decision-makers real-time visibility into field revenue, inventory usage, costs, and profitability,” said 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.”
Source: BUSINESSWIRE