Data Science's Unnoticed Significance in Finance
The study explores the impact of data science and AI on finance, focusing on algorithmic trading, risk management, and innovation.
What it examines
This study examines the impact of data science on finance, focusing on algorithmic trading, fraud detection, and personalized services. It aims to explore how data science can enhance operations, customer satisfaction, and business performance in financial institutions.
What it concludes
Data science is revolutionizing finance by improving decision-making and customer service. Future research should focus on explainable AI, federated learning, and ethical considerations. Potential applications include enhanced financial analysis, risk management, and personalized financial services.
Evidence objects
Data science is revolutionizing finance by improving decision-making and customer service. Future research should focus on explainable AI, federated learning, and ethical considerations. Potential applications include enhanced financial analysis, risk management, and personalized financial services.
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Raw abstract and provenance
The growing influence of artificial intelligence and Data Science on the financial sector, focusing on its role in managing financial products and services, influencing financial markets, and shaping areas like internet finance, credit services, and fraud detection. The study highlights the opportunities and challenges of integrating data science into financial systems, including algorithmic trading of financial services. Despite challenges such as data quality, privacy, regulation, ethics, talent acquisition, and integration with existing systems, the application of data science in finance offers businesses opportunities to develop and broaden their offerings, fostering innovation and improving client experiences. The paper also emphasizes the importance of interpretable and explainable AI models for trust and compliance with regulations.
Source row: 504 · abstract type: unknown