Are you attending Oracle AI World and interested in the latest Exadata innovations? This year’s agenda brings together technical deep dives, customer stories, and practical guidance on running AI and mission-critical database workloads with Exadata.
From AI Vector Search and agentic operations to Exascale, Cloud@Customer, sovereign AI, and multicloud architectures, these sessions show how organizations can put their Oracle data to work while preserving the performance, availability, and security their critical applications require.
Below are several Exadata-related sessions to consider adding to your agenda. You can also explore the full session catalog, pre-filtered for Exadata.
AI and Exadata
Bringing AI to Exadata: Performance, Simplicity, and Scale [LRN6031]
Exadata is engineered to deliver the performance, scalability, and operational simplicity required for today’s most demanding Oracle AI Database workloads. Explore the Exadata architecture and key engineering innovations behind its performance, showing how database-aware software and high-performance hardware enable accelerated AI Vector Search, OLTP, analytics, JSON, Spatial, and Graph workloads. Learn how AI Smart Scan for Oracle AI Database, XRMEM, NVMe Flash, RoCE networking, and Exadata Exascale help improve performance and resource utilization, simplify operations, and provide a foundation for modern AI and database workloads. See how agentic AI capabilities can help administrators streamline Exadata fleet-management workflows.
Alex Blyth, Product Management Architect, Oracle
Jia Shi, GVP, Data Systems Software Engineering, Oracle
Mission-Critical Oracle AI Database and Exadata: What’s New and What’s Next [LRN6055]
This session explores the latest innovations for running mission-critical workloads with Oracle AI Database 26ai, Exadata X11M, Exascale, Zero Data Loss Recovery Appliance (ZDLRA), and Oracle Exadata Cloud Infrastructure. Discover how these new features help improve scalability, availability, performance, and security for the most demanding enterprise applications. Discover how to modernize your infrastructure with deployment flexible deployment options across on-premises, Oracle Cloud Infrastructure (OCI), and multicloud environments including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud. Hear how customers are using Oracle’s mission-critical portfolio to increase resilience, simplify operations, and accelerate innovation.
Mitrava Sarkar, Vice President, State Street Bank and Trust Corp
Ashish Ray, SVP, Product Management, Database, Oracle
AI Vector Search Meets Exadata Speed [THR6061]
AI requires context, and it needs it fast. See how AI Vector Search in Oracle AI Database harnesses Exadata performance to run powerful similarity search directly on your business data, without a separate vector database or complex pipelines. Learn how Exadata accelerates AI Vector Search while Data Guard provides resilience for enterprise-grade AI applications. Build fast, secure AI applications on the database platform you already trust.
Carlos Ortiz, Lead Principal Product Manager, Oracle
Keep AI Local, Make It Enterprise-Ready: The Sovereign AI Playbook [LRN6041]
As organizations seek measurable value from AI investments, infrastructure teams must scale enterprise AI while addressing data sovereignty and privacy requirements, as well as cost predictability. Join senior technology executives from two leading APAC enterprises as they share how they accelerated AI initiatives using a hybrid architecture. Learn how they deployed AI agents and vector search with Oracle Exadata and Oracle AI Database 26ai in local data centers. Through production deployments, this session examines architectural decisions, implementation lessons, and business outcomes to help you design a sovereign AI strategy that delivers cloud-like agility and supports business transformation while reducing risk.
Sunil Sunkara, Director, Engineering, Akamai Technologies, Inc.
Ruchir Aeron, Manager, Database Administration, MISO
Dalton Louque, Sr. Vice President / Sr. Director / Data Technology Infrastructure, First Citizens Bank
Snehal Parikh, Lead Outbound Product Manager, C@C Business Development, Oracle
David Le Roy, Senior Director of Product Management, Oracle Database Cloud, Oracle
Exadata operations and cloud services
Stay Current, Reduce Risk: What’s New in Exadata Database Service Maintenance [LRN6060]
As cyber threats become more sophisticated, keeping database software current is essential for reducing security and operational risk. Learn what’s new in Oracle Exadata Database Service software maintenance, including recent enhancements that help teams plan and automate software updates across the stack, reduce operational risk, and keep environments current. Gain a clearer understanding of available maintenance options, current Exadata Database Service capabilities, and practical best practices for keeping systems secure and up to date.
Vineet Kakani, Senior Director of Product Management, Oracle
Prince Mathew, Lead Principal Product Manager, Oracle
Oracle Database Cloud Services for the AI Era: What’s New and What’s Next [LRN6059]
AI is accelerating database modernization and transforming how enterprises deploy, manage, and scale cloud database services. Join this session to explore the latest innovations and future direction for Oracle’s database cloud services, including Exadata Cloud@Customer, Exadata Database Service, Exascale, Base Database Service, and Database Infrastructure Cloud@Customer. Learn how Oracle enables secure, scalable, AI-ready database deployments across customer data centers, OCI, and multicloud environments while simplifying operations and increasing flexibility.
Amita Jotsinghani, Manager, Database Engineering, Nationwide Insurance
Tushar Pandit, Vice President, Product Management, Oracle
Binoy Sukumaran, SVP, Software Engineering, Database Cloud, Oracle
AI-Driven Multicloud Management: What’s New and What’s Next [LRN6042]
As enterprises accelerate AI adoption across distributed environments, observability and management must evolve beyond reactive monitoring into intelligent, automated operations. This session presents Oracle’s latest strategy and publicly shared roadmap for AI-driven operations across multicloud and on-premises environments. Learn how OCI Observability and Management services together with Enterprise Manager 24ai provide comprehensive full-stack observability, intelligent diagnostics, and automated operations that help IT and DevOps teams improve productivity, reliability, and operational agility. We will also highlight new GenAI driven innovations for applications, databases, infrastructure, Exadata, and multicloud environments.
Karl Dias, SVP, Software Engineering, Enterprise and Cloud Manageability, Oracle
Harish Niddagatta, Director, Product Management, Oracle
Customer modernization and multicloud stories
Modernizing Airline Operations with Exadata Cloud@Customer and AI [THR1847]
Modernizing mission-critical systems requires balancing innovation with operational reliability. Join United Airlines and Oracle to learn how a strategic modernization initiative transformed critical database infrastructure using Oracle Exadata Cloud@Customer, Oracle Customer Success Services, and ExaCare support. Discover how the team improved availability, performance, operational resilience, and operational efficiency through migration to Oracle Cloud Infrastructure. Learn how United is extending this foundation with Oracle AI Data Platform and AI Lakehouse capabilities to unify operational and analytical data, support predictive maintenance, enhance operational intelligence, and build a scalable foundation for future AI initiatives.
Hitesh Shah, Director, Database Engineering and Operations – Digital Technology, United Airlines
Ather Khan, VP, Technical Account Management, Oracle
Scaling Oracle AI Database@AWS: Architecture Patterns and Lessons w/State Street [LRN2249]
Can Oracle AI Database@AWS deliver Exadata-class performance, resilience, and security at true enterprise scale? In this session, we share real-world architecture patterns and hard-won lessons from a production deployment at one of the world’s largest Exadata customers. We walk through multi-AZ ODB network deployments, hub-and-spoke connectivity across on-premises and multiple AWS VPCs, and design trade-offs between centralized traffic inspection and low-latency direct peering. Learn how this enterprise validated cross-tier performance and implemented Data Guard DR topologies at scale. This session delivers a production-grounded blueprint for any regulated enterprise evaluating or scaling Oracle AI Database@AWS.
Matt Garson, PM, Amazon
Jobin Joseph, Senior Database Specialist SA, Amazon Web Services
Building an Enterprise AI Foundation Across a Multicloud Strategy [THR2190]
State Street Investment Management is modernizing a complex global technology estate while preparing for enterprise AI across AWS, Microsoft Azure, Oracle Cloud Infrastructure, Databricks, Snowflake, and on-premises environments. By combining Oracle Database and Exadata with a multicloud architecture, the organization is creating a foundation for an AI-ready Customer 360 strategy that supports governed enterprise data, conversational and agentic AI, and improved client engagement. Learn how this modernization strategy helps reduce migration risk, supports future AI innovation, and establishes a scalable platform for enterprise growth while preserving mission-critical performance.
Promod Radhakrishnan, Group Vice President, Oracle
Brij Prasad, Managing Director, State Street Investment Management
Evaluating and Deploying the Latest Innovations with Oracle AI Database@AWS [LRN2248]
Enterprises migrating Oracle workloads to cloud face a compounding challenge: they need to move mission-critical databases while simultaneously enabling AI agents to access that data with real-time, secure, low-latency connectivity. Oracle AI Database@AWS solves both by placing Exadata services inside AWS, giving applications and agents sub-millisecond access to operational data. In this session, we walk through how customers evaluate and deploy Oracle AI Database@AWS in production, leveraging native AWS integrations. In addition, learn what is new in the service, how customers can enable agentic data access using Amazon Bedrock and Oracle AI Vector Search.
Karthik Gopalakrishnan, Product Leader, Oracle Database@AWS, Amazon
Jeremy Shearer, WW Oracle Alliance, Amazon
How PayPal Built a Multicloud Foundation for Future Innovation [THR1111]
As a global digital payments leader, PayPal is modernizing its database strategy to support future innovation while maintaining the stability and performance required for mission-critical operations. In this session, PayPal shares its journey toward a multicloud architecture using Oracle Exadata Cloud Service and Oracle Database@Google Cloud. Learn how the team is modernizing Oracle Database environments, extending cloud adoption while preserving existing investments, and creating a foundation for future automation and AI-driven capabilities. Attendees will gain practical insights into modernization planning, multicloud architecture decisions, operational considerations, and lessons learned from a large-scale enterprise transformation.
Arslan Munir, Sr. Director TAM, CSS NA, Oracle
Raj Kiran Mattewada, Database Administrator, PayPal
Why the Next Generation of Agentic AI Will be Built on Oracle Data in AWS [SPO2620]
Organizations everywhere are working to put their agentic AI applications into production. But agentic AI needs more than models. It needs access to your most trusted data. For organizations with data in Oracle, Oracle AI Database@AWS makes that data the launchpad for what comes next, bringing Oracle Exadata and Autonomous Database inside AWS with integrations into the AWS analytics, machine learning, and agentic AI services powering modern applications. You’ll hear from customers building on Oracle AI Database@AWS today, dive into the latest innovations, and discover why AWS is where Oracle data becomes intelligent action.
G2 Krishnamoorthy, VP, AWS Database Services, AWS
Extending the value of operational data
Put Oracle Operational Data to Work for AI [LRN6084]
Your most valuable operational data may need to stay where it is, in Oracle Database or Exadata Cloud@Customer. Learn how Oracle AI Lakehouse can extend analytics and AI to that data without requiring database migration or changes to operational applications. Explore approaches for securely using Oracle data for governed analysis and AI while Oracle Database remains the system of record. This session focuses on practical ways to gain more value from existing Oracle data while maintaining established operational environments.
Ashish Mittal, Vice President, Oracle
Ekrem Soylemez, VP, Data Systems Engineering, Oracle
No Need to Move Your Data for AI Agents: Build Them with Autonomous AI Lakehouse [LRN6065]
Agents need more than raw access to data. They need trusted context, governed permissions, reliable pipelines, and a shared semantic understanding of the business. This talk covers how the Autonomous AI Lakehouse helps connect private enterprise data to agentic AI across live data sources, including object stores, databases, other clouds, and SaaS applications. Through a central catalog, rich semantic layer, open Iceberg support, unified security, and Exadata performance, organizations can help enable agents to query live enterprise data where it resides, with availability across OCI, AWS, Google Cloud, and Azure.
Vishal Singh, Senior Director, Product Management, Autonomous AI Lakehouse, Oracle
Nipun Agarwal, SVP, Software Engineering, Database, Oracle
There are more Exadata-related sessions in the Oracle AI World session catalog. The Exadata Product Management team will also be available to discuss AI, high availability, security, modernization, consolidation, and cloud deployment options.
We look forward to seeing you at Oracle AI World 2026.