Oracle has launched the Oracle AI Data Platform, a major step in its push to redefine how enterprises connect data, applications, and artificial intelligence at scale. Now generally available, the platform is designed to help organizations securely link their proprietary data with the latest generative AI models, accelerating the development of production-grade AI systems while maintaining governance, compliance, and trust.
The Oracle AI Data Platform combines automated data ingestion, semantic enrichment, and vector indexing with built-in generative AI tools to simplify the journey from raw data to intelligent automation. It integrates directly with Oracle Cloud Infrastructure (OCI), Oracle Autonomous AI Database, and the OCI Generative AI service, forming a unified system where both developers and business users can build, deploy, and scale agentic applications.
With NVIDIA accelerated computing built in, customers can choose from the latest GPUs and AI libraries to handle large, compute-intensive workloads with higher performance and efficiency.
“Oracle AI Data Platform enables customers to get their data ready for AI and then leverage AI to transform every business process,” said T.K. Anand, executive vice president at Oracle. “By unifying data and simplifying the entire AI lifecycle, it delivers the most comprehensive foundation for enterprises seeking to harness AI with confidence, security, and agility.”
The platform is built to bridge traditional enterprise databases and modern AI systems through an open architecture. It supports open data lakehouse formats such as Delta Lake and Iceberg, helping to eliminate data duplication while maintaining interoperability. A unified catalog provides end-to-end visibility, compliance, and governance across data assets, models, and agents. Open standards such as Agent2Agent (A2A) and Model Context Protocol (MCP) are supported to allow organizations to build multi-agent AI ecosystems that can collaborate on complex business tasks.
For business users, Oracle’s Agent Hub introduces an interface that simplifies access to AI-driven agents. The system interprets natural language requests, identifies relevant agents, and executes actions or recommendations in real time. This approach is designed to make AI adoption more accessible to non-technical users while ensuring enterprise-grade performance and reliability.
Hybrid and Multicloud Orchestration
Key to the platform’s differentiation is its ‘Zero-ETL’ and ‘Zero Copy’ approach, which allows companies to connect directly to operational data across finance, HR, supply chain, and customer-facing systems without manual data movement. The Oracle AI Data Platform supports hybrid and multicloud orchestration, making it possible to connect, process, and analyze information from any source – whether on-premises, in Oracle Cloud, or across third-party environments.
For enterprises that already rely on Oracle applications such as Fusion, NetSuite, and industry-specific solutions in healthcare, financial services, and construction, Oracle plans to release pre-integrated versions of the AI Data Platform. These tailored offerings will include Oracle Fusion Data Intelligence, giving customers instant access to curated, AI-ready data for faster deployment and value realization.
By embedding AI directly into everyday workflows, the platform aims to help organizations automate tasks, surface growth opportunities, and transform decision-making processes. Data scientists, AI engineers, and developers benefit from a shared workspace and unified tooling to build, test, and scale models collaboratively, reducing development cycles and operational complexity.
The platform’s launch comes amid rapid enterprise adoption of generative AI and large language models, which demand seamless access to structured and unstructured data across diverse systems. Oracle’s solution targets that challenge by merging the traditionally siloed worlds of databases, analytics, and AI model management into one governed environment.
Global partners are already investing heavily in the ecosystem. A consortium of system integrators and consulting firms – including Accenture, Cognizant, KPMG, and PwC – has collectively pledged more than $1.5 billion toward the Oracle AI Data Platform, alongside training for 8,000 professionals and the development of over 100 industry-specific use cases.
Lan Guan, chief AI and data officer at Accenture, said the collaboration aligns with a growing need among clients to unlock business value from proprietary data. “With our extensive AI engineering capabilities and domain expertise, we are uniquely positioned to help clients leverage Oracle AI Data Platform to realize the full value of Oracle’s technology from day one,” she said.
Naveen Sharma, senior vice president at Cognizant, described the platform as a “strategic component” in clients’ digital transformation journeys. KPMG’s Todd Randolph highlighted its ability to provide ‘trusted data’ for better decisions and operational efficiency, while PwC’s Kevin Sullivan said the unified environment “brings together the essential building blocks for secure, governed, enterprise-grade AI.”
Oracle’s new AI Data Platform represents a clear signal of how enterprise AI is evolving – from fragmented experimentation toward fully integrated systems where data, compute, and intelligence operate as one. By combining the scale of Oracle Cloud Infrastructure with the precision of AI-driven data management, the company aims to position itself at the center of the next phase of enterprise automation, where every workflow, application, and decision is augmented by intelligent systems.
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