AI in Finance Shaping the Future of Intelligent Automation and Financial Services (True ) | 6.43 MB
Title: AI in Finance: Shaping the Future of Intelligent Automation and Financial Services
Author: Editors: Krishan Arora and Himanshu Sharma
Category: Business & Finance, Finance & Investing, Finance
Language: English | 268 Pages | ISBN: 9781800618435
Description:
This book provides a clear and accessible overview of how artificial intelligence (AI) and robotics are revolutionizing the financial industry. It begins by introducing the key concepts of AI and its historical evolution, emphasizing its growing importance in finance. The reader is then guided through the foundational technologies, including machine learning and neural networks, while also addressing the ethical challenges of AI.
As the book progresses, it explores practical applications, such as how AI enhances financial analysis, risk management, and operational efficiency through automation. It also discusses AI-driven investment strategies, like algorithmic trading and robo-advisors, and highlights how AI improves customer experiences with tools like chatbots and personalized services.
Further chapters focus on AI’s role in risk management, regulatory compliance, and cybersecurity, as well as its influence on innovative financial products like InsurTech and cryptocurrencies. The book concludes by examining AI’s impact on financial planning, future workforce skills, and the broader transformation of the financial sector, offering predictions and strategic recommendations for stakeholders.
Readership: This book is well-suited for advanced undergraduate and graduate students, researchers, industry professionals, and practitioners in AI and Finance. It will also serve as a useful resource for officials and professionals working in the financial sector.
This book provides a clear and accessible overview of how artificial intelligence (AI) and robotics are revolutionizing the financial industry. It begins by introducing the key concepts of AI and its historical evolution, emphasizing its growing importance in finance. The reader is then guided through the foundational technologies, including machine learning and neural networks, while also addressing the ethical challenges of AI.
As the book progresses, it explores practical applications, such as how AI enhances financial analysis, risk management, and operational efficiency through automation. It also discusses AI-driven investment strategies, like algorithmic trading and robo-advisors, and highlights how AI improves customer experiences with tools like chatbots and personalized services.
Further chapters focus on AI’s role in risk management, regulatory compliance, and cybersecurity, as well as its influence on innovative financial products like InsurTech and cryptocurrencies. The book concludes by examining AI’s impact on financial planning, future workforce skills, and the broader transformation of the financial sector, offering predictions and strategic recommendations for stakeholders.
Readership: This book is well-suited for advanced undergraduate and graduate students, researchers, industry professionals, and practitioners in AI and Finance. It will also serve as a useful resource for officials and professionals working in the financial sector.
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