Utilizing AI for Enhanced Predictive Analytics in Financial Projections: Significance in Corporate Planning and Risk Mitigation

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Tridip Kanti Bardhan, Pradeep Chintale, Rahul Reddy Gouravaram, Syed Hassan Imam Gardezi, J. Ramkumar Patnaik, Anindita Khade

Abstract

The World Bank states that financial inclusion is a crucial aspect in dropping poverty along with enhancing prosperity. The study provides an understandable AI model that may be utilized in financial risk controlling and, particularly, in quantifying the risks that develop in case where credit is borrowed utilizing peer-peer lending networks. The paper starts by highlighting the aids of applying AI for predictive analytics (PA), like the ability to handle huge amounts of data, detect patterns along with trends, and provide high-accuracy predictions. The research explores many specific utilisations of AI in financial management (FM), counting credit risk analysis, along with portfolio management, along with fraud detection. The paper examines the challenges and constraints of utilising AI for PA inside financial management, along with future research goals in this area. The research paper demonstrates how artificial intelligence (AI) may revolutionize FM by providing more precise and effective decision-making tools.

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