AI Data Platform
Oracle AI Data Platform unites industry-leading foundational models with governed enterprise data to enable developers to rapidly and easily build their enterprise lakehouse, AI agents, and applications, and business users to effortlessly use agentic experiences to transform their business.
Oracle AI Data Platform: Unifying Data for Scalable Enterprise AI
Nov 20, 2025, 9:00 a.m. PT | Nov 26, 2025, 12:30 p.m. SGT
Join Oracle experts to explore how the new AI Data Platform unifies data and AI into one governed development experience—empowering teams to build, deploy, and scale AI apps.
Why Oracle AI Data Platform?
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Unify enterprise data for AI
AI Data Platform unifies all types of data—structured, unstructured, batch, and real-time—across your enterprise into an open, and connected platform, laying the foundation for trusted and AI-ready data pipelines.
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Accelerate AI development
An integrated environment with built-in tools and GenAI agent frameworks empowers your teams to build and deploy AI-powered applications faster—without the complexity of connecting separate tools.
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Innovate with AI at scale
AI Data Platform enables cost-effective, enterprise-wide AI by harnessing OCI’s optimized infrastructure, minimizing data movement, and orchestrating AI solutions across Oracle and third-party environments so you can scale innovation and intelligence everywhere your business operates.
Oracle AI Data Platform customer success stories
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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 securely combining synthetic and open data sets, they built a decision-support tool that helps clinicians manage chronic disease more effectively and ultimately improve patients’ lives.
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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.
Explore Oracle AI Data Platform
Autonomous AI Database
Oracle Autonomous AI Database is a fully managed, cloud native database that automates provisioning, tuning, scaling, and patching—requiring no manual effort from DBAs or engineers.
Its role in AI Data Platform
Autonomous AI Database serves as the gold medallion layer within the platform’s architecture, housing the most trusted, query-ready data products for enterprise analytics and AI. It helps ensure that all downstream use cases start from governed, high-quality data.
- Automates data management, freeing up engineering time
- Delivers fast, query-ready data for analytics, ML, and GenAI
- Enforces lineage and role-based accessed control via the master catalog
- Powers reusable, trusted data sets as part of AI Data Platform’s medallion model
- Seamlessly connects to pipelines, notebooks, and AI services
- Scales elastically to meet dynamic AI and analytic workloads
Analytics
Oracle Analytics Cloud is a fully managed, cloud native analytics platform that empowers business users and data professionals to model, visualize, and explore data through self-service dashboards, pixel-perfect reports, and governed semantic models.
Its role in AI Data Platform
Analytics Cloud is the visual intelligence layer—transforming trusted data, such as gold medallion Autonomous AI Database assets, into actionable insights and AI-driven analytics. It closes the loop by enabling data consumption, data-driven business decisions, and feedback into the AI pipeline.
- Self-service analytics: Business users can build reports while administrators manage roles, permissions, and access via built-in role-based access control.
- Semantic modeling: Create reusable, business-friendly data models that reduce complexity and support consistency across reports.
- Seamless integration: Connects directly to AI Data Platform’s unified data layer and AI pipelines for real-time or batch analytics.
- Supports AI-derived visualizations: Use embedded ML, smart insights, and natural language queries to amplify data-driven decisions.
Generative AI service
A fully managed, enterprise-ready generative AI service on Oracle Cloud Infrastructure. It offers pretrained foundational models for chat, summarization, and embeddings plus fine-tuning capabilities and hosted endpoints on dedicated AI clusters.
Its role in AI Data Platform
Generative AI service acts as the intelligence engine within AI Data Platform, transforming governed data into smart, interactive AI experiences and closing the loop for insight-driven action.
- Plug-and-play LLMs: Accessible via APIs, CLI, and AI playgrounds that support chatbots, summarizers, classification, RAG, and embeddings.
- Custom tuning: Tailor pretrained models to your data using dedicated clusters for enterprise-grade customization with tight controls over data security.
- Enterprise-grade delivery: Enables reliable hosting with dedicated infrastructure, granting predictable performance and isolation.
- Seamless platform integration: Connects directly to AI Data Platform's data layers as well as embedding, summarization, generation, and question-answer workflows. Generative AI service plugs into gold medallion data sets for grounded, compliant outputs.
- Rapid ROI: Enables fast deployment of GenAI apps for synthesizing insights, automating workflows, and generating value from day one.
Object Storage
Oracle Cloud Infrastructure (OCI) Object Storage provides scalable, durable, low-cost storage for any type of data. Benefit from 11 nines of durability. Scale storage to nearly unlimited capacity for your unstructured data.
Its role in AI Data Platform
Object Storage acts as a foundational data lake layer within the platform’s architecture, enabling efficient storage and management of massive data volumes needed by AI and analytics pipelines. It enables any type of data to be reliably preserved, accessible, with security measures across all workloads.
- Seamlessly integrates with AI, analytics, and data engineering pipelines.
- Delivers virtually unlimited, scalable storage for any data type, including structured and unstructured data sets.
- Improves durability and redundancy with built-in data replication across availability domains.
- Provides access-controlled storage with encryption by default.
- Supports simple data ingestion and retrieval via standard APIs and SDKs.
- Scales elastically to meet dynamic data growth and performance needs.
AI Data Platform Workbench
Oracle AI Data Platform Workbench provides a unified development environment for building, deploying, and managing AI applications. It brings together data engineering, machine learning, and analytics workflows into one governed workspace that accelerates innovation while ensuring enterprise-grade security and control.
A collaborative user interface and dev environment for AI Data Platform
AI Data Platform Workbench acts as the collaborative development layer within the platform’s architecture, enabling teams to prepare data, train models, and operationalize AI in a single, governed environment. It connects data scientists, engineers, and analysts through shared tools, notebooks, and pipelines—all powered by integrated access to the platform’s underlying services and catalog.
- Provides a unified workspace for end-to-end data and AI development
- Seamlessly integrates with Autonomous AI Database, Object Storage, and Oracle Cloud Infrastructure (OCI) AI Services
- Enables collaborative workflows with shared notebooks and reproducible pipelines
- Automates data preparation, model training, and deployment through orchestration tools
- Ensures governance with catalog-based lineage, versioning, and access control
- Accelerates AI innovation by reducing complexity across the data-to-AI lifecycle
