Author: Philip Godfrey
What is Oracle AI Data Platform?
Oracle AI Data Platform brings together data, analytics and AI capabilities to help organisations build, deploy and scale AI-powered applications. By connecting enterprise data with AI capabilities and business context, the platform helps organisations move beyond experimentation towards practical AI solutions that support business processes and decision-making.
At Oracle AI World 2026, Oracle announced several new capabilities, designed to help AI agents better understand how businesses operate. These innovations combine AI-assisted business ontologies, semantic reasoning and AI governance capabilities that provide AI solutions with more consistent understanding of business entities, relationships and workflows.
The aim is to help organisations make their existing business knowledge reusable across AI applications and agents, while maintaining the security, governance and oversight required for enterprise adoption.
Oracle AI Data Platform brings business context to enterprise AI
The foundation for success in any AI solution is not by applying the latest model but having data that is ready for AI. At Vertice, we make use of our Data8 framework, to ensure the data is fit for purpose and suitable for AI.
Building on that foundation to AI agents, not only do they need access to data, but they also need further understanding and context, what business information means, how different entities relate to one another, and which rules and processes govern business decisions.
At Oracle AI World 2026, T.K. Anand highlighted how Oracle AI Data Platform can help address this challenge by creating a reusable foundation of business knowledge for AI solutions.
“To scale them reliably, enterprises need a system of context that reflects how the business actually works.”
T.K. Anand, Executive Vice President, Oracle
What is Oracle AI Data Platform?
The platform uses business knowledge already held in enterprise applications, databases, analytics and documents to help AI agents interpret information consistently and apply it within the appropriate business context.
This represents an important development in enterprise AI: moving from simply retrieving information to enabling AI agents to investigate business questions, support decisions and recommend actions within established business controls.
What's new in Oracle AI Data Platform?
The latest announcements at Oracle AI World 2026 introduce several capabilities designed to make enterprise AI more context-aware, actionable and governable.
AI-assisted business ontologies
Business ontologies provide a structured representation of the concepts, terminology, relationships and policies that define how an organisation operates.
Oracle AI Data Platform introduces an AI Discovery agent that can analyse existing enterprise assets, including database schemas, semantic models, application and API documentation, and unstructured business documents, to help generate these ontologies.
Rather than requiring every relationship and business concept to be modelled manually, AI helps create and maintain this foundation of knowledge. Business domain experts can then review, refine and approve the generated ontologies before they are used across AI solutions.
The platform can also monitor how agents use these ontologies and recommend updates for expert review as business needs evolve.
This approach helps organisations make their existing business knowledge more accessible and reusable, while keeping people involved in validating and governing that knowledge.
Oracle Semantic Reasoning Engine
Understanding individual data points is not enough for many enterprise AI use cases. AI agents also need to understand the relationships between business entities, interpret information across systems and apply the relevant business rules.
The Oracle Semantic Reasoning Engine uses business ontologies to assemble business-ready context before it reaches the AI model.
It can coordinate information retrieval across federated systems, resolve business relationships and apply relevant governance controls. This helps provide AI models with the context they need to answer questions and reason about business problems.
For organisations looking to scale AI beyond isolated experiments, this provides a foundation for more consistent, efficient and context-aware AI applications.
Deep Insight Agents
Deep Insight Agents introduce a way to apply enterprise business context to more complex analytical questions.
Using business ontologies and the Oracle Semantic Reasoning Engine, these agents can investigate business questions, identify contributing factors, run forecasts and scenarios, and recommend potential next actions.
Importantly, the approach supports human review and approval, helping organisations retain oversight of the insights and recommendations generated by AI.
Deep Insight Agents can also be integrated with Oracle Analytics Cloud, Oracle Fusion Data Intelligence, making insights available within existing business and analytics experiences.
For business users and analysts, this creates opportunities to move beyond conventional reporting towards AI-assisted investigation and decision support.
AI Registry and governance
As organisations adopt more AI agents, managing them across teams and business functions becomes increasingly important. Without appropriate oversight, organisations can face duplicated efforts, unclear ownership, inconsistent permissions and limited visibility into agent usage.
Oracle AI Data Platform introduces Oracle AI Registry to provide a central inventory of AI agents, tools, skills and Model Context Protocol (MCP) servers.
The registry captures information such as ownership, versions, dependencies, permissions and lifecycle status, helping organisations establish a more consistent view of their AI assets.
Who can benefit from the latest Oracle AI Data Platform capabilities?
The new capabilities are relevant to a range of technical and business personas involved in delivering and governing enterprise AI
Data Engineers
Data engineers can help connect and prepare enterprise data assets, establish reliable data pipelines and make relevant information available to AI applications. Business ontologies and semantic reasoning provide an additional layer for connecting technical data structures with business meaning.
AI Developers
AI developers can use enterprise context and reusable business knowledge to build AI-powered applications and agents that are better aligned with business processes, policies and requirements.
Data Scientists and Analysts
Data scientists and analysts can benefit from Deep Insight Agents to investigate complex business questions, explore drivers, evaluate forecasts and scenarios, and develop recommendations supported by enterprise data and context.
Data Governance and AI Governance Teams
Governance teams can benefit from greater visibility into AI assets, their ownership, dependencies, permissions and lifecycle status. AI-assisted ontologies also provide an opportunity to involve business experts in reviewing and maintaining the knowledge used by AI solutions.
Business Leaders and AI Decision-Makers
Business leaders can use these capabilities as a foundation for identifying and prioritising AI opportunities, connecting AI initiatives to business outcomes and establishing the controls needed to scale adoption responsibly.
Turning Oracle AI Data Platform innovations into business outcomes
The announcements at Oracle AI World 2026 highlight an important direction for enterprise AI. By combining data and AI capabilities with a consistent understanding of business context, alongside the governance needed to operate AI at scale.
For organisations, the next step is understanding how these capabilities can be applied to their own data, processes and business priorities.
Our team can help you explore the potential of Oracle AI Data Platform, identify suitable use cases and determine the right approach to implementation. Whether you are evaluating your first AI initiative or preparing to scale existing solutions, we can support you through a proof of concept, pilot or production deployment.
Let’s discuss your business objectives and identify where Oracle AI Data Platform could deliver value for your business, please get in touch here.
