Intelligent Financial Forecasting: A Fusion of Computer Engineering and AI in Accounting

DOI

10.2991/978-94-6463-787-8_12How to use a DOI?

Keywords

Intelligent; Financial Forecasting; Computer Engineering; AI Techniques; Machine Learning; Deep Learning; Hybrid Model; ARIMA; RNN; Computational Efficiency

Abstract

The advancement in the field of finance, taking into account predictability and efficiency to a next level expectation, by integration through computer engineering collaboration with artificial intelligence AI techniques is valued may create new pathways for accounting practices in this article, we explore the design and deployment of an automated financial forecasting model powered by state-of-the-art machine learning methodologies and sophisticated computational algorithms. That’s in demand to deliver a comprehensive approach to the challenges and variability of financial data, which can result in better forecasting accuracy for financial analysts and accountants. Our approach is an ensemble model which integrates methods from deep learning architectures (RNNs, CNN) as well as traditional statistical methods (ARIMA/Exponential smoothing). A model trained this way will be able to catch patterns in the data, both linear and nonlinear, making its forecasts more accurate as well as improving stability. So, we researched the actual financial data from different areas such as retail, technology and manufacturing sectors to test our Intelligent forecasting model.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Arun Marandi
AU  - Ashutosh Parida
AU  - Amaresh Mohanty
PY  - 2025
DA  - 2025/07/17
TI  - Intelligent Financial Forecasting: A Fusion of Computer Engineering and AI in Accounting
BT  - Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
PB  - Atlantis Press
SP  - 119
EP  - 130
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-787-8_12
DO  - 10.2991/978-94-6463-787-8_12
ID  - Marandi2025
ER  -