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Generative AI in FinTech: Revolutionizing Finance Through Intelligent Algorithms (Information Systems Engineering and Management, 26)


Price: $199.99 – $189.99
(as of Dec 27,2024 06:52:54 UTC – Details)




Publisher ‏ : ‎ Springer; 2025th edition (April 1, 2025)
Language ‏ : ‎ English
ISBN-10 ‏ : ‎ 3031769562
ISBN-13 ‏ : ‎ 978-3031769566
Item Weight ‏ : ‎ 1.74 pounds


Generative AI in FinTech: Revolutionizing Finance Through Intelligent Algorithms

In recent years, the intersection of artificial intelligence and financial technology (FinTech) has paved the way for groundbreaking advancements in the finance industry. One such advancement is the utilization of generative AI algorithms, which have the capability to revolutionize finance through their intelligent and predictive capabilities.

Generative AI, a subset of artificial intelligence, involves machine learning models that generate new data based on patterns and examples from existing data. In the context of finance, generative AI algorithms can be used to analyze large datasets, identify trends and patterns, and make predictions about market behavior, risk assessment, and investment opportunities.

By harnessing the power of generative AI, financial institutions can improve decision-making processes, optimize risk management strategies, and enhance customer experiences. For example, banks can use generative AI algorithms to detect fraudulent activities, predict customer preferences, and personalize financial services offerings.

Furthermore, generative AI can also be used to automate trading processes, develop algorithmic trading strategies, and optimize portfolio management. This can lead to more efficient and effective investment decisions, reduced operational costs, and increased profitability for financial institutions.

Overall, the integration of generative AI in FinTech has the potential to transform the finance industry by enabling more intelligent and data-driven decision-making processes. As technology continues to evolve, it is imperative for financial institutions to embrace these advancements and leverage generative AI algorithms to stay competitive in an increasingly digital and data-driven world.

Reference:
Information Systems Engineering and Management, 26.
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