The rapid advancements in Artificial Intelligence (AI) have revolutionized various industries, including finance and investment strategies. This paper explores the impact of AI-driven innovations on the financial sector, focusing on how AI technologies have been integrated into investment processes and decision-making mechanisms. We examine the evolution of AI applications in predictive analytics, risk assessment, portfolio optimization, market sentiment analysis, and automated trading. The integration of AI has led to increased efficiency, precision, and scalability in financial operations. This paper argues that while AI offers significant benefits, it also poses challenges related to data privacy, algorithmic bias, and the potential displacement of human roles. We provide insights into the potential future developments in AI-driven finance, emphasizing the need for ethical frameworks and regulatory oversight to ensure responsible innovation.
Taylor, M. AI-driven Innovations in Finance and Investment Strategies. Advanced Sciences, 2021, 3, 18. https://doi.org/10.69610/j.as.20210417
AMA Style
Taylor M. AI-driven Innovations in Finance and Investment Strategies. Advanced Sciences; 2021, 3(1):18. https://doi.org/10.69610/j.as.20210417
Chicago/Turabian Style
Taylor, Michael 2021. "AI-driven Innovations in Finance and Investment Strategies" Advanced Sciences 3, no.1:18. https://doi.org/10.69610/j.as.20210417
APA style
Taylor, M. (2021). AI-driven Innovations in Finance and Investment Strategies. Advanced Sciences, 3(1), 18. https://doi.org/10.69610/j.as.20210417
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