AI Data Platform | Oracle APAC
What Is Oracle AI Data Platform?
Oracle AI Data Platform unifies your enterprise data, applies the business context AI needs to act accurately, and deploys agents that automate workflows, decisions, and processes—across every function, at enterprise scale. It’s one platform, end to end, with a governed data foundation and embedded intelligence.
Contact an AI Data Platform expert Join the Oracle AI Data Platform community
Oracle + Deloitte webinar: How Banks Can Use Existing Data and Systems for AI
September 23, 9 a.m. PT / 12 p.m. ET
Learn how financial institutions can use the data and systems they already have to bring AI to high-value workflows across lending, compliance, fraud analysis, and customer service.
Register now for Oracle + Deloitte webinar
ISG Buyers Guide™ for AI and Data Platforms 2026
The Buyers Guide highlights leading providers in AI, data management, deployment capabilities, and more. Read it now to see why Oracle was named an Overall Leader.
Build AI That Works for Business
AI is only as good as its foundation. Discover how Oracle AI Data Platform provides a trusted, governed environment to help build accurate AI at scale.
Read the solution brief (PDF) for Build AI That Works for Business
3 Ways Enterprise AI Helps Pay Off for Financial Services Firms
Discover how Oracle AI Data Platform helps financial services firms unify trusted data, apply industry models, and embed AI into core workflows so teams can act on insights faster.
Access the brief (PDF) for 3 Ways Enterprise AI Helps Pay Off for Financial Services Firms
5 Ways Oracle AI Data Platform Can Benefit Your Business
Discover five key ways Oracle AI Data Platform can transform your enterprise data and AI initiatives.
Access the brief (PDF) 5 Ways Oracle AI Data Platform Can Benefit Your Business
See AI deliver business outcomes
Join us at Oracle AI World in Las Vegas from October 25 to 28 to see how Oracle’s AI and other technology innovations are helping organizations solve challenges across industries. Hear from Oracle leaders, explore demos and case studies, and connect with experts and peers.
Trusted enterprise data
Enterprise AI is only as reliable as the data behind it. Oracle AI Data Platform unifies structured and unstructured data across your business systems, including Oracle Fusion Cloud ERP, SCM, HCM, customer experience (CX), and non-Oracle sources, into a single foundation. Data can stay secure and support your compliance requirements, accessed in place or moved through trusted, lineage-tracked pipelines, so AI operates on complete, accurate information rather than fragmented copies.
Read the blog for trusted enterprise data
Deep business semantics
AI models understand language. They don't inherently understand your business. Oracle AI Data Platform encodes the metrics, relationships, domain logic, and process context that define how your organization operates across finance, supply chain, HR, and customer operations. Agents and analytics built on this semantic layer can reason in your business language and can produce outputs that are consistent, explainable, and trusted by the people making decisions.
Read the blog for deep business semantics
AI in the flow of work
AI creates value only when it acts. Oracle AI Data Platform embeds agents and intelligence directly into business workflows where decisions are made—inside Oracle Applications and across third-party operational systems. Embedded AI surfaces recommendations, optimizes approvals, and drives action at the point where it changes outcomes.
Read the blog for AI in the flow of work
University College Dublin aims to improve chronic care with Oracle AI Data Platform
Using Oracle AI Data Platform, the UCD Clinical Research Centre is transforming respiratory care, turning unstructured clinical data into actionable insights. By combining synthetic and open data sets, they built a research analytics tool to support chronic disease research and data analysis.
Clopay drives manufacturing success with Oracle AI Data Platform
Clopay® Garage Doors is using Oracle AI Data Platform to transform how it understands and serves its customers. With millions of unique SKUs across its product line, Clopay replaced manual spreadsheet analysis with AI-powered insights that accurately predict dealer churn and reveal trends before they happen—driving stronger business performance, better decisions, and improved profitability.
Data lakehouse
Data science and MLOps
AI applications and AIOps
Collaborative development
AI data catalog
Security, role-based access, control, and auditability
AI registry
AI and analytics for business users
Build a complete data lakehouse across structured, semi-structured, and unstructured data. Raw data lands in object storage as the bronze layer, ingested where it lives or landed directly without unnecessary duplication. Autoscaling compute with managed Apache Spark refines it into clean, access-controlled data sets in the silver layer. Oracle Autonomous AI Database delivers the curated, AI-ready gold layer that is optimized for analytics, machine learning, and AI agents. One lakehouse. One environment. This means that every user—from data engineer to business user—works with the same trusted data.
AI-ready gold layer
Machine learning pipelines, retrieval-augmented generation (RAG) knowledge bases, and AI agents consume curated, business-validated data. AI engineers ground models on the same authoritative facts that drive operational reporting, not raw or intermediate copies.
Autonomous gold layer operations
Gain the benefits of a self-tuning, self-scaling, and self-repairing warehouse with automatic indexing, query optimization, and workload management. Deliver consistent, subsecond performance across billions of rows during peak hours without manual tuning. Scale compute independently from storage to serve hundreds of concurrent users.
First-class, first-party integration
Bring Oracle Fusion Applications data, including ERP, HCM, supply chain, and CX, directly into the lakehouse. Prepare Fusion data in Apache Spark–powered notebooks for AI agent grounding, historical reporting, and predictive analytics on the operational system of record.
Data sharing
Share live lakehouse data with internal teams, partners, and Oracle applications without copying or moving it. Data sharing helps to keep every consumer on the most current, authoritative version.
Oracle AI Data Platform gives data scientists and ML engineers a fully managed environment to help build, train, track, and operationalize machine learning models directly over lakehouse data. The full MLOps lifecycle—distributed Spark training, experiment tracking, model registry, and catalog-published deployment—runs in a customer-managed and customer-governed workspace with no infrastructure to manage.
ML pipelines and workflows
Orchestrate end-to-end ML pipelines with reusable components—data preparation, feature engineering, training, and evaluation—using AI Data Platform's workflow infrastructure. Build once, run on schedule or on trigger, with role-based access control policies you define and control.
Experiments and model registry
Track all model training runs with automatic metrics logging, hyperparameter capture, and artifact versioning. Compare experiments, register production models, and manage lifecycle workflows.
Model publishing and catalog registration
Publish trained models to the AI data catalog to make them discoverable, versioned, and accessible across agents, applications, and workflows. Lineage tracking and access control policies are applied at registration.
Data science agents
AI agents that autonomously explore data sets, generate hypotheses, write and execute code, and iterate on model training, dramatically reducing time from raw data to production model.
Curated AI agent library
Browse a curated library of approved agents—internal agents built by your data teams and vetted third-party agents—with descriptions, example prompts, and usage guidance for common business tasks.
Analytics in business workflows
Oracle Analytics Cloud embeds world-class analytics directly into the applications your teams use every day, including Oracle Fusion ERP, HCM, SCM, and CX. Ask questions in natural language, surface AI-generated narratives, and share centrally managed dashboards within the workflow.
A unified conversational interface
A single pane of glass to discover, query, and collaborate with your organization's AI agents. Agent Hub interprets business user requests, finds and invokes the right agent, and presents results in context—all through natural language.
Featured AI Data Platform blogs
Agents vs. Workflows: Where Does the ROI Actually Live?
Most enterprises aren’t failing with AI agents because of the technology—they’re failing because they’re using agents where simple workflows would do the job better. This blog explains the key differences between workflows and autonomous agents, and how choosing the right approach impacts ROI, scalability, governance, and cost. It also provides a practical framework for deciding when agentic AI is truly worth the investment.