Oracle AI World 2026: Where Enterprise AI Is Going Next

Oracle AI World is bringing the conversation around enterprise AI into sharper focus, from trusted data foundations and AI agents to business applications and real-world adoption.

Arvind Rajan, CEO & Co-Founder, and Ratnakar Nanavaty, Chief Strategist, will be in Las Vegas on October 26–27 to connect with enterprise leaders and exchange perspectives on where AI is heading next.

LAS VEGAS | OCTOBER 26–27

The Data Foundation Behind Enterprise AI

Enterprise AI needs more than access to a model.

It needs trusted business data, context, governance, security, and a foundation that can support AI agents and applications at scale.

Oracle AI Data Platform brings together trusted enterprise data, analytics, AI, agents, and governance in one environment, with a strong focus on moving organizations from experimentation toward measurable business outcomes.

For ERP and enterprise application leaders, the bigger question is:

How can the data your business already runs on become the foundation for the next generation of AI?

AI Should Solve a Business Problem

From AI Assistants to AI-Driven Workflows

The enterprise AI conversation is moving beyond assistants that simply answer questions.

Oracle is increasingly bringing AI agents into business applications and workflows where they can work with enterprise data, context, and processes across finance, HR, supply chain, manufacturing, and customer experience.

That changes the conversation from:

What can AI tell us?

to:

What work can AI help move forward?

At AI World, we will be paying close attention to how agents are being designed to support decisions, automate tasks, and operate within governed enterprise processes.

What Should We Talk About at AI World

The Bigger Challenge Starts After the Pilot

Building an AI proof of concept is only the first step.

Scaling it across an enterprise requires:

  • Trusted and governed data
  • Secure access and permissions
  • Integration with existing systems
  • Monitoring and auditability
  • Human oversight
  • Clear business outcomes

Oracle’s AI Data Platform agenda specifically focuses on moving from pilots and proofs of concept toward measurable ROI, operational impact, and enterprise-scale outcomes.

The question enterprise leaders now need to ask is not simply whether AI works.

It is whether it can be trusted, integrated, governed, and operated at scale.

The Bigger Challenge Starts After the Pilot

How Enterprise AI Is Taking Shape

These are examples of how AI can move from enterprise data and workflows into practical business applications.

Automate Invoice Processing

AstuteAP uses AI to reduce manual invoice processing through intelligent data capture, validation, coding assistance, matching, approvals, and ERP integration.

Make Contract Work Smarter

AstuteCLM brings GenAI into contract processes to help teams create, review, approve, manage, and find information across contracts more efficiently.

Ask Your Enterprise Data

AskData lets users ask business questions in natural language and get answers from enterprise data without relying on complex reports or queries.

Improve HR Experiences with AI

Astute HR Onboarding uses AI to simplify employee document processing, reduce manual checks, and help HR teams move new hires through onboarding faster.

Give Students Answers Faster

Student Concierge gives students a conversational way to get help with classes, enrollment, academic requirements, campus services, and other common questions.

Meet Arvind and Ratnakar at Oracle AI World

Monday, October 26 & Tuesday, October 27, 2026
Las Vegas, Nevada

If your organization is thinking through AI Data Platforms, AI agents, enterprise data, or how to move AI from pilots into production, Arvind and Ratnakar would welcome the opportunity to compare perspectives during Oracle AI World.

Meet Arvind and Ratnakar at Oracle AI World