Oracle has introduced a suite of AI-enhanced capabilities for Oracle Fusion Data Intelligence, empowering customers to unlock faster, deeper insights from their enterprise data. These latest innovations include the launch of the Oracle Analytics Cloud AI Assistant and a range of new analytical content and features across Oracle Fusion Cloud Applications, such as ERP, EPM, HCM, and CX.

“Oracle Fusion Data Intelligence has always helped our customers make smart business decisions based on their data, and the new AI capabilities take this to the next level,” said T.K. Anand, executive vice president at Oracle. “The new Oracle Analytics AI Assistant allows users to engage in a dialog with their data and a system that understands their specific business context across all Fusion Data Intelligence applications. In addition, our continued investment in expanded coverage of functional areas across Oracle Fusion Applications will further enrich the depth and breadth of data-driven insights provided by Fusion Data Intelligence.”

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Designed specifically for Oracle Fusion Applications, Fusion Data Intelligence merges curated business data with analytics and prebuilt AI/ML models, enabling faster, smarter decision-making. The newly announced AI capabilities include several key features:

  • Oracle Analytics AI Assistant: This assistant allows users to interact naturally with their business data, uncovering insights beyond standard dashboards. Additionally, AI-generated dataset descriptions make it easier to prepare, explore, and understand data, accelerating analysis for all users.
  • Oracle Cloud EPM Integration: Customers can now seamlessly combine planning, financial close, and consolidation data from Oracle Cloud EPM with Fusion Data Intelligence. By eliminating manual file transfers, finance teams gain unified analytics that integrate ERP and EPM data, even for large datasets.
  • Peer Benchmarks: Businesses can boost operational efficiency by comparing peer-to-peer metrics across the organization. New benchmarks for attrition, team composition, and recruiting provide leaders with actionable reference points to identify and replicate best practices.
  • Skills Analytics: HR leaders can pinpoint skills gaps, redeploy surplus talent, and plan upskilling or reskilling programs effectively. This capability highlights where skills are missing, underutilized, or at risk, supporting strategic workforce planning.

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  • Benefits Analytics: HR teams gain insights into employee benefits, understanding which plans resonate with different demographics, how enrollment changes with life events, and evolving worker preferences.
  • Workforce Investment App: Finance, HR, and operations teams gain unified control over workforce spending. Real-time insights, what-if analysis, and guided recommendations help proactively manage operational expenses while aligning workforce agility with financial discipline.
  • Incentive Comp Analytics: Sales leaders can improve compensation plan effectiveness by combining performance data across deals, quota attainment, credits, and earnings, ensuring incentives drive desired business outcomes.

With these AI-driven enhancements, Oracle Fusion Data Intelligence continues to empower businesses to extract maximum value from their data, make faster, smarter decisions, and elevate operational performance across all enterprise functions.

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