Integrating AI Techniques for Enhanced Financial Forecasting and Budgeting Strategies

International Journal of Economics and Management Studies
© 2023 by SSRG - IJEMS Journal
Volume 10 Issue 9
Year of Publication : 2023
Authors : Vineet Jain, Parth A Kulkarni
How to Cite?

Vineet Jain, Parth A Kulkarni, "Integrating AI Techniques for Enhanced Financial Forecasting and Budgeting Strategies," SSRG International Journal of Economics and Management Studies, vol. 10,  no. 9, pp. 9-15, 2023. Crossref,


In the realm of modern business decision-making, the integration of Artificial Intelligence (AI) techniques into Financial Forecasting and Budgeting is reshaping traditional paradigms. This paper uncovers the profound impact of AI on these crucial practices. By leveraging historical data and advanced algorithms, AI-driven forecasts transcend the limitations of conventional methods, adapting seamlessly to evolving market dynamics. Simultaneously, AI-powered budgeting optimizes resource allocation and enables swift adjustments, aligning financial strategies with real-time requirements. The paper's exploration of key AI techniques amplifies forecasting accuracy and enhances the depth of variance analysis. Acknowledging challenges surrounding computational complexity and interpretability, this study underscores AI's transformative potential and addresses concerns. The convergence of AI and financial practices is underscored through illuminating case studies, collectively revealing AI's prowess in enhancing operational efficiency and strategic decision-making. Ultimately, this integration embodies a paradigm shift, empowering businesses to navigate uncertainties with data-driven confidence.


Artificial Intelligence, Budgeting & Forecasting, FP&A, Financial forecasting, Machine learning.


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