Ai-Neural Networks And Accounting Outcomes In Financial Services Companies In Lagos Metropolis

Abstract

The research evaluates AI-neural networks and accounting outcomes in financial services companies in Lagos Metropolis. The study was conducted to examine the level of correlation between recurrent neural networks and accurate financial forecasts in financial services companies in Lagos Metropolis; and to assess the extent to which feedforward neural networks correlate with pattern recognition in financial services companies in Lagos Metropolis. The research adopts survey research design. The study uses primary sources of data. A structured questionnaire was the major instrument for data collection. The study adopts the purposive sampling technique. Cronbach Alpha statistic was used to obtain the value of 0.82 as the instrument reliability ratio. Descriptive and inferential statistics were employed for data analysis. The findings reveal that there is a positive and significant level of correlation between recurrent neural networks and accurate financial forecasts in financial services companies in Lagos Metropolis; feedback positively and significantly correlate with pattern recognition in financial services companies in Lagos Metropolis. The study concludes that AI-neural networks are correlates of accounting practices in financial services companies in Lagos Metropolis. The study recommends among others that Managements of enterprises need to ensure that more accountants and management experts are professionally equipped with recurrent neural network competences and skills for accurate financial forecasts; management of commercial entities should organize more training programmes for their accountants on the best ways to employ feedforward neural networks for effective pattern recognition in the organizations.