At Oracle AI World, Oracle unveiled a new suite of AI-driven enhancements for Oracle Fusion Data Intelligence, designed to help organizations quickly unlock greater value from their enterprise data. The updates include widespread integration of the new Oracle Analytics Cloud AI Assistant and expanded analytical features across Oracle Fusion Cloud Applications, encompassing 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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Conversational Analytics and Context-Aware Insights
Purpose-built for Oracle Fusion Applications, Oracle Fusion Data Intelligence blends curated enterprise data with advanced analytics and prebuilt AI/ML models to empower faster, smarter decision-making. The introduction of the Oracle Analytics AI Assistant marks a major shift toward conversational analytics: users can simply ask questions of their data, receive contextual answers, and uncover insights beyond those displayed in traditional dashboards. AI-generated dataset descriptions further speed up data preparation, exploration, and comprehension for all users.
Enhanced Integrations and Domain-Specific Features
Key new capabilities being added to Fusion Data Intelligence include:
- Oracle Cloud EPM Integration: Enables seamless connection between planning, financial consolidation, and close data eliminating manual transfers and providing finance teams with unified analytics that combine ERP and EPM data at scale.
- Peer Benchmarks: Introduces operational benchmarks for attrition, team composition, and recruiting, giving leaders peer-based comparisons and actionable guidance for process improvement.
- Skills Analytics: Provides HR teams with visibility into workforce skill gaps, enabling targeted reskilling, redeployment, and training strategies to build organizational agility.
- Benefits Analytics: Offers deeper understanding of employee benefit trends highlighting demographics, plan preferences, seasonality, and shifting engagement patterns to optimize benefits planning.
- Workforce Investment App: Gives HR, finance, and operations teams shared control over workforce spend through real-time insights, what‑if simulations, and AI‑guided recommendations.
- Incentive Comp Analytics: Helps sales leaders align compensation structures with business goals by unifying performance data across deals, quotas, and earnings to enhance incentive effectiveness.
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A New Level of Enterprise Intelligence
With these innovations, Oracle continues to expand its AI-first strategy across the full stack of Fusion Applications. By embedding intelligent automation and conversational data analysis into core workflows, Oracle helps enterprises optimize financial planning, workforce management, and customer engagement through unified, cross-functional insights.
Organizations using Fusion Data Intelligence can now pair real-time analytics with predictive models, gaining clarity into operational performance and the ability to act proactively on emerging trends all while leveraging the security, scalability, and integration of Oracle Cloud Infrastructure.
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