Artificial Intelligence in Financial Management: Automating Risk Assessment and Investment Strategies

The following research paper aims to highlight the idea of the use of AI in financial management and particularly in risk analysis and management of investment portfolios. The study also shows how the Kaggle real-world datasets can be used to perform a regression analysis and sentiment analysis, to process vast amount of financial data to determine the market trends and risks with high accuracy. It also emphasizes the ability of AI in improving the performance in the decision making and the reduction of the human error that is key in risk and return management in investment. The paper also outlines possibilities for the further development of AI in managing the finances, with the focus on the employment of deep learning approaches and the real-time data processing to advance the financial sustainability and create novelties. Still, this study provides the foundation for future rich studies of AI’s applied impacts on the sophistication of financial management practices in the industry.