Oracle AI World 2026 puts AI agents and multi-cloud monitoring in focus

AI agents move into Oracle business applications

Oracle AI World 2026 brought customers and partners to Las Vegas to examine how AI can support existing business systems. Datadog participated in a session with Peloton Consulting Group and hosted a booth covering observability across Oracle Fusion Cloud Applications, Oracle Database and Oracle Cloud Infrastructure, or OCI.

Oracle announced a collaboration with OpenAI that brings OpenAI models, ChatGPT and Codex together with Oracle’s applications, data and cloud infrastructure. The centerpiece, Oracle AI Workspace, is designed to let employees complete approved business workflows across Oracle Fusion Applications, NetSuite, Oracle AI Database and OCI from within ChatGPT.

Oracle also introduced Fusion Companion and Fusion Agentic Home for Oracle Fusion Applications. These applications let people state a business objective and delegate work to AI agents and agentic applications. Datadog says that as agents run business processes, the health of the underlying jobs and integrations becomes closely tied to the health of the business.

Multi-cloud databases increase the need for unified visibility

Multi-cloud was another central theme at the event. Oracle AI Database@AWS, @Azure and @Google Cloud place Oracle Database services running on OCI inside AWS, Azure and Google Cloud data centers. Datadog said Oracle AI Database@Google Cloud is coming to Mexico, while Snowflake is coming to OCI as a native service.

Datadog supports Oracle AI Database@AWS, @Azure and @Google Cloud through dedicated AWS, Azure and Google Cloud subintegrations. Each has more than 50 out-of-the-box metrics and dashboards, according to Datadog. Used with Database Monitoring, APM and Cloud Cost Management, the tools are intended to help teams troubleshoot slow queries, validate performance after a migration and attribute database costs across clouds and teams.

Datadog’s Oracle Fusion Cloud Applications integration collects metrics and logs from Enterprise Scheduler Service jobs, as well as audit logs of user activity. Combined with Synthetic Monitoring, it can test Oracle Fusion automatically from the outside in, simulating the experience of a real user.

Peloton and government workloads

At the Oracle AI World Hub, Ellie Cohen, Product Manager at Datadog, and Bishwa Satpathy, AI Architect at Peloton Consulting Group, presented “Build Trust in AI-Powered Oracle Fusion Apps with End-to-End Visibility.” They described Peloton’s experience running on Oracle Fusion, operating its own AI agents and using Datadog to see what is happening.

For government and public sector teams, Oracle announced plans to obtain FedRAMP® Class D, formerly FedRAMP High, certification for Oracle AI Database@AWS, @Azure and @Google Cloud. The services are planned to run on Oracle Exadata Database Service in AWS GovCloud (US), Microsoft Azure Government and Google Cloud with Assured Workloads. Oracle plans US availability in 2027, with timing varying by cloud, service and region.

For users, the announcements point to a monitoring challenge as AI agents and cloud-spanning databases become part of business operations. Datadog says its Oracle Fusion Applications integration, Database Monitoring, OCI Monitoring and Synthetic Monitoring bring visibility into Oracle applications, databases and infrastructure across clouds in one place.