Oracle AI Experience Sessions
AI Engineering Track
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Developing Agentic AI Apps and Workflows
Build and deploy production-ready AI applications and agents through hands-on engineering workshops focused on AI data foundations, scalable inference, and intelligent orchestration.
Developing Agentic AI Apps and Workflows
Build and deploy production-ready AI applications and agents through hands-on engineering workshops focused on AI data foundations, scalable inference, and intelligent orchestration. Using Python, Oracle AI Database, and Oracle Cloud Infrastructure (OCI) Enterprise AI, you’ll implement retrieval-augmented generation (RAG) pipelines, agent workflows, vector search, multimodal retrieval, persistent memory, and hybrid inference architectures with runnable code throughout. Explore practical patterns for optimizing AI performance, reasoning, and cost while building scalable applications that combine enterprise data, AI models, and adaptive agent behavior.
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AI Data Builders Track
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Build a RAG Pipeline with GenAI and Oracle AI Database
In this lab, you’ll use Oracle AI Database to power GenAI applications with enterprise data.
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Unify the Data Layer with Oracle Autonomous AI Lakehouse
This workshop highlights the process of building an object store–centric data lake with Oracle Autonomous AI Lakehouse.
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Assemble and Deploy an AI Agent Using RAG and SQL
Learn how to build and deploy an AI agent using retrieval-augmented generation (RAG) and SQL integration on Oracle AI Data Platform.
Build a RAG Pipeline with GenAI and Oracle AI Database
In this lab, you’ll use Oracle AI Database to power GenAI applications with enterprise data. You’ll interact with a live business application that uses several data sources and vectorizes structured and unstructured data, plus learn how RAG applications enhance context-specific information. You’ll have a working application that blends transactional data with AI services, showing how enterprises can embed GenAI directly into mission-critical processes.
Unify the Data Layer with Oracle Autonomous AI Lakehouse
This workshop highlights the process of building an object store–centric data lake with Oracle Autonomous AI Lakehouse. In this hands-on lab, you’ll access an embedded toolset to integrate, transform, and share data efficiently, helping AI models use high-quality data to generate better insights.
Assemble and Deploy an AI Agent Using RAG and SQL
Learn how to build and deploy an AI agent using retrieval-augmented generation (RAG) and SQL integration on Oracle AI Data Platform. You’ll interact with large language models, enterprise documents, and relational databases to answer natural language queries with contextual accuracy. The session covers document ingestion, vector search, SQL querying, and deployment best practices, providing a hands-on experience creating intelligent, enterprise-ready AI applications.
AI Business Applications Track
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Design, Deploy, and Execute with Agentic AI in Oracle Fusion Agentic Applications
Learn how to design, deploy, and execute AI agents within Oracle Fusion Cloud Applications using Oracle’s agentic applications framework.
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Automate Tasks, Drive Efficiency, and Improve Decision-Making with Agentic AI
Experience firsthand AI agents embedded across Oracle Cloud Applications.
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Talking to Your Data with GenAI in Oracle Cloud Applications
Discover how to engage with business data using natural language.
Design, Deploy, and Execute with Agentic AI in Oracle Fusion Agentic Applications
Learn how to design, deploy, and execute AI agents within Oracle Fusion Cloud Applications using Oracle’s agentic applications framework. In this hands-on lab, participants will build workflows that reason across enterprise data, orchestrate business processes, and take contextual actions with governance and human oversight. Attendees will also experience the new agentic application user view, where AI agents continuously execute and collaborate across workflows to help run the business.
Automate Tasks, Drive Efficiency, and Improve Decision-Making with Agentic AI
Experience firsthand AI agents embedded across Oracle Cloud Applications. This interactive lab will demonstrate how these agents can automate routine tasks, simplify workflows, and improve decision-making for HR, finance, supply chain, and customer experience teams—helping drive greater productivity and efficiency. Learn how to apply these tools in your business and discover how they can enhance user experiences through personalized and timely interactions for employees and managers.
Talking to Your Data with GenAI in Oracle Cloud Applications
Discover how to engage with business data using natural language. This lab will demonstrate how to use generative AI capabilities in Oracle Cloud Applications and Oracle Fusion Data Intelligence to ask complex questions and receive actionable insights. You’ll use the AI agent approach introduced in the keynote session, interacting with data to deliver a business operations solution. Through guided exercises, you’ll see how GenAI helps users analyze information more intuitively, make data-driven decisions faster, and uncover insights within enterprise data.
AI Strategy Track
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Moderated Executive Roundtables
Connect with peers and industry leaders to explore how organizations are deploying AI across business and technology functions.
Moderated Executive Roundtables
Connect with peers and industry leaders to explore how organizations are deploying AI across business and technology functions. Through executive roundtables and customer-led discussions, you’ll exchange insights on ERP, supply chain management, and AI data platform strategies while examining real-world approaches to governance, security, and scalable AI adoption. Hear customer case studies focused on measurable business outcomes, including supply chain improvements, data management updates, and ROI. Designed for business stakeholders and decision-makers, this track emphasizes practical lessons, peer networking, and guidance for accelerating enterprise AI initiatives.
Closing and trial export
We’ll close the day by summarizing key takeaways and sharing resources to help you continue your AI journey with Oracle. Participants will receive access to trial environments, labs, and documentation to extend hands-on learning beyond the event. This session will leave you equipped with the knowledge and tools to bring AI into use within your organization.
AI Partner Enablement Track
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Capturing the AI Opportunity with Oracle
See how Oracle partners can help customers put AI to work today using embedded AI services, agentic AI capabilities, and AI development platforms across OCI, Oracle Fusion Cloud Applications, and Oracle AI Database.
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Building the AI Use Case and Understanding the Economic Model
This session explores how to identify high-value AI opportunities and connect them to measurable business outcomes.
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Assemble and Deploy an AI Agent Using RAG and SQL
Learn how to build and deploy an AI agent using retrieval-augmented generation (RAG) and SQL integration on Oracle AI Data Platform.
Capturing the AI Opportunity with Oracle
See how Oracle partners can help customers put AI to work today using embedded AI services, agentic AI capabilities, and AI development platforms across Oracle Fusion Cloud Applications, Oracle Cloud Infrastructure (OCI), and Oracle AI Database. This session highlights where partners can create immediate value through implementation, integration, extension, and industry solutions built on Oracle’s growing AI portfolio.
Building the AI Use Case and Understanding the Economic Model
This session explores how to identify high-value AI opportunities and connect them to measurable business outcomes. The discussion will focus on building practical AI use cases, estimating business impact, and understanding the economic model behind AI projects, including implementation costs, operational efficiency, productivity gains, and long-term customer value across Oracle AI solutions and services.
Assemble and Deploy an AI Agent Using RAG and SQL
Learn how to build and deploy an AI agent using retrieval-augmented generation (RAG) and SQL integration on Oracle AI Data Platform. You’ll interact with large language models, enterprise documents, and relational databases to answer natural language queries with contextual accuracy. The session covers document ingestion, vector search, SQL querying, and deployment best practices, providing a hands-on experience creating intelligent, enterprise-ready AI applications.
