• Sangeetha.G
• Harshitha M

ABSTRACT The integration of data analytics and artificial intelligence (AI) has revolutionized various industries, and forensic accounting investigations are no exception. This exploratory study aims to investigate the utilization of data analytics and AI in forensic accounting investigations. By examining the adoption and application of these advanced technologies in detecting financial fraud, embezzlement, and other financial crimes, this research paper provides valuable insights into the evolving landscape of forensic accounting practices. Exploratory research design is used in this paper to throw light on implementation of AI in Forensic Investigations. Furthermore, the study examines the ethical considerations and potential limitations of current forensic accounting investigations , which does not use AI , and finally give suggestions on how to implement AI in Forensic Accounting Investigations. Overall, this exploratory study provides a comprehensive assessment of the use of data analytics and AI in forensic accounting investigations. It underscores the significance of leveraging advanced technologies to combat financial crimes effectively and lays the groundwork for further research and advancements in the intersection of technology and forensic accounting.

Keywords: Data analytics, Artificial intelligence, Forensic accounting, Financial fraud, Financial crime, Investigation, Technology, Fraud detection, Embezzlement, Data mining.

""An Exploratory Study on the use of Data Analytics and Artificial Intelligence in Forensic Accounting Investigations.”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.c214-c230, August-2023, Available :http://www.jetir.org/papers/JETIR2308224.pdf

""An Exploratory Study on the use of Data Analytics and Artificial Intelligence in Forensic Accounting Investigations.”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppc214-c230, August-2023, Available at : http://www.jetir.org/papers/JETIR2308224.pdf