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@article{167936, author = {Kumar Abhishek}, title = {The Influence of Artificial Intelligence on Financial Management: Revolutionising Forecasting, Risk Assessment and Investment Strategies}, journal = {International Journal of Innovative Research in Technology}, year = {2024}, volume = {11}, number = {4}, pages = {704-709}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=167936}, abstract = {Artificial Intelligence (AI) is reshaping financial management by refining traditional approaches to forecasting, risk assessment, and investment strategies. Technologies such as machine learning and deep learning offer enhanced predictive abilities that surpass conventional methods. By analysing large datasets and discovering intricate patterns, AI models provide more accurate forecasts, enabling financial institutions to better anticipate market trends and make data-driven decisions. In risk assessment, AI introduces advanced tools for predictive modelling and real-time monitoring, enhancing the precision of identifying potential threats. This improvement allows organisations to proactively address risks and implement effective mitigation strategies. In investment strategies, AI is altering the landscape with innovations like algorithmic trading and robo-advisors. Algorithmic trading uses AI to execute trades precisely according to market conditions, while robo-advisors offer personalised investment advice tailored to individual risk profiles. Moreover, AI enhances portfolio management by optimising asset allocation and improving investment outcomes. However, the integration of AI into financial management poses challenges, including the need for specialised skills and training. Best practices for implementation include setting clear objectives, initiating pilot projects, and balancing AI with human oversight to ensure ethical use. The future of AI in financial management is promising, with ongoing advancements and increasing impact. Ethical considerations and regulatory frameworks will be essential in guiding the responsible development and deployment of AI.}, keywords = {Artificial Intelligence, Financial Forecasting, Risk Assessment, Investment Strategies, Machine Learning, Algorithmic Trading, Personalized Advice, Blockchain}, month = {September}, }
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