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Oracle Fusion Data Intelligence for AI-Driven Financial Insights

Author(s) Sreenivasa Rao Sola
Country India
Abstract - The use of artificial intelligence (AI) in financial reporting has transformed decision-making and data management. This journal discusses how Fusion Analytics Warehouse facilitates automatic financial reporting by utilizing machine learning algorithms and predictive analytics. AI-based automation increases accuracy, automates workflows, and facilitates compliance with changing financial regulation. The research delves into configuration approaches to implementing AI in finance workflows, maximizing reporting efficiency, and minimizing manual handling. Other than that, it also analyzes how AI analytics enhance forecasting, risk analysis, and fraud detection capabilities. Businesses can enhance business intelligence, make informed decisions, and gain better operational efficiency using AI-based financial reporting software. The study has real-world implementations and case studies and shows the revolutionary role of AI in finance. Future trends in the incorporation of AI into financial reporting as well as implementation issues are also discussed, paving the way to continued innovation in financial analytics.
Keywords AI integration, Fusion Analytics Warehouse, finance automation, predictive analytics, machine learning, financial reporting, business intelligence, risk assessment, fraud detection, AI-driven decision-making, compliance, optimization of finance workflow.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 5, Issue 1, January 2024
Published On 2024-01-03
Cite This Oracle Fusion Data Intelligence for AI-Driven Financial Insights - Sreenivasa Rao Sola - IJLRP Volume 5, Issue 1, January 2024. DOI 10.5281/zenodo.15259103
DOI https://doi.org/10.5281/zenodo.15259103
Short DOI https://doi.org/g9f8vq
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