Artificial Intelligence in Accounting and Finance: Meta-Analysis

Abstract   The use of the traditional system is declined greatly and with a modernization of the accounting and finance process there have been a great deal of change, and these improvements are beneficial to the accounting and finance industry. Adopting Artificial Intelligence applications such as Expert systems for audit and tax, Intelligent Agents for customer service, Machine Learning for decision making, etc. can lead a great benefit by reducing errors and increasing the efficiency of the accounting and finance processes. To keep ensuring a transparent and replicable process, we have conducted a meta-analysis. The database search was between the years 1989-2020 and reviewed 150 research papers. As meta-analysis results show, the majority of researches illustrate a positive effect of the impact of AI systems in the accounting and finance process

A fuzzy expert system for evaluating the responsiveness of Italian insurance companies to the “Solvency 2 storm”

The “Solvency II” directive will be enforced starting from 2016. The insurance and reassurance companies have asked to reflect upon ways of adapting to the new rules and to consider value creation strategies under the new constraints. An Observatory was started for understanding how open Italian insurance companies are to change and how the announced rules influence the current operations. In order to monitor the behaviour of the companies over the years and evaluate the responsiveness to the new regulatory requirements of the Italian insurance Companies, a Fuzzy Expert System (FES) was developed. The objective of this work is to show the evaluation / monitoring tool created for the observatory. The special feature of the FES is to be created exclusively on judgments and not on objective dat