Creating a Practical Roadmap for Enterprise AI Adoption

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As Oracle E-Business Suite and Oracle Cloud ERP environments become more complex, HR and Finance teams are under growing pressure to move beyond static, historical reporting.

This session explores how AI and machine learning can be applied to existing Oracle data to support more forward-looking decisions. Through practical enterprise examples, the discussion covers workforce attrition, cash flow forecasting, and the detection of unusual ledger activity.

Discover how organizations can progress from descriptive analysis, which explains what happened, to predictive and prescriptive insights that help teams anticipate outcomes and decide what to do next. Attendees will come away with a practical understanding of where AI can make a real difference, what needs to be in place to support it, and how to take the first step within their existing Oracle environment.

Learning Objectives

Understand how AI and machine learning can enhance Oracle HR and Finance decision-making.
Learn practical enterprise use cases, including workforce planning, cash flow forecasting, and anomaly detection.
Discover how to move from descriptive reporting to predictive and prescriptive analytics using existing Oracle data.

Ragu Veeraraghavan

Vice President, Solutions, SplashBI

Kapil Kapur

Vice President, Data & AI Services, SplashBI