AI and Big Data Analytics for Cash Flow Optimization in an Organization
The research aims to discuss the place that Artificial Intelligence and Big Data Analytics have in cash flow management, striving for further perfection of financial processes within organizations. It focuses on how AI and Big Data help make proper forecasts, enable better decision-making, reduce costs, and monitor cash flows in real time. The study uses literature and current research findings to show the transformative power of AI and big data in revolutionizing traditional financial practices. Various challenges and limitations during implantation are discussed, including data privacy concerns, integration with older systems, high implementation costs, and skill gaps. The paper concludes by Underlining the proactive adoption of AI and Big Data in cash flow management as a lever towards attaining sustainable growth and competitive advantage in a data-driven business environment.
Authors
- Arpit Walia (ORCID: https://orcid.org/0009-0000-4265-123X)
- Amar Johri (ORCID: https://orcid.org/0000-0003-2007-8123)
- Anu Sayal (ORCID: https://orcid.org/0000-0003-1506-9388)
- Vasim Ahmad (ORCID: https://orcid.org/0000-0002-7782-7722)
- Mohammad Asif (ORCID: https://orcid.org/0009-0005-0815-1481)
- Anup Shekhar Chamoli
Institutions
- Saudi Electronic University (SA)
- Uttaranchal University (IN)
- Taylor's University (MY)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/i3ceet61722.2024.10993608
- Citations
- 6
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 3.17