AI Data Platform
Oracle AI Data Platform (AIDP) empowers enterprises to build AI-driven business applications by uniting their enterprise data with best-in-class AI models, developer tools, and tight control over data privacy and governance. By reducing fragmented pipelines and disconnected tools, it enables organizations to accelerate innovation, streamline operations, and gain a sustained competitive advantage through trusted, scalable AI.
Webinar: Oracle AI Data Platform: Unifying Data for Scalable Enterprise AI
November 20, 2025, Thursday - 10:00 AM GMT
Discover how the new Oracle AI Data Platform (AIDP) empowers you to quickly build, deploy, and scale data-driven and AI-powered applications.
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.
Product tour—AI Data Platform Workbench
Data control
AI Data Platform embeds strong controls with fine-grained permissions, helping to improve more secure, compliant access to catalogs, assets, and notebooks while maintaining trust, consistency, and auditability.
Learn more about data governance
Medallion architecture
AI Data Platform’s governed medallion architecture, including raw bronze, refined silver, and trusted gold, helps ensure consistency, quality, and AI readiness at every stage, turning diverse data into reliable insights for any use case.
Learn more about medallion architecture
Developer experience
Interactive notebooks integrated with the catalog enable developers to code across languages, explore data from raw to curated, and seamlessly collaborate with engineers, scientists, and business users on trusted data sets.
Learn more about developer experience
Orchestration
AI Data Platform streamlines end-to-end workflows with visual orchestration, automation, and scheduling, making it easy to design, monitor, and troubleshoot pipelines while enabling data quality, governance, and collaborative transparency across teams.
Learn more about orchestrationAI Data Platform Workbench features
Unified lakehouse for all data and AI assets
Centralized master catalog
Discover and organize all data and AI assets across structured, semi-structured, and unstructured sources in a unified catalog.
Support for medallion architecture
Natively manage bronze, silver, and gold data layers with lineage and quality tracking to support trusted AI and analytics.
Multi-format data support
Seamlessly ingest and analyze data from files, databases, documents, images, and more—all within one platform.
Built-in governance and metadata management
Apply access policies, tagging, and audit trails across all data and AI artifacts to enable compliance and reuse.
End-to-end development with Spark and Autonomous AI Database
Flexible compute options
Run data pipelines and ML workloads on Apache Spark and/or Oracle Autonomous AI Database.
Unified workflow orchestration
Build and orchestrate batch and streaming jobs with versioning, dependency tracking, and integration through APIs.
Integrated data science and engineering
Combine data transformation, feature engineering, and model training into unified pipelines without moving data between tools.
Enterprise integration across Oracle and third-party ecosystems
Open ecosystem and standards support
Direct connectivity to external systems using REST, JDBC, Kafka, and open metadata standards for cross-platform AI integration.
Native connectivity to Oracle Applications
Direct access to operational data from Fusion Applications and Fusion Analytics.
Deep integration with Oracle technologies
Orchestrate data and AI with Autonomous AI Database, Oracle GoldenGate, and Oracle Analytics Cloud.
Explore Oracle AI Data Platform services
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.
Read more about Autonomous AI Database
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 AIDP’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.
Read more about Analytics Cloud
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.
Read more about Generative AI Service
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.
Read more about Object Storage
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.
Get started with Oracle AI Data Platform
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