AI IN FINANCE

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.

Contents:

• AI-Driven Automation: Revolutionizing Financial Operations and Efficiency (Brijlal Mallik, Shivangi Kashyap, Robert Ślepaczuk, Manish Kumar, and Dev Kumar Mandal)
• Integrating AI with Traditional Financial Systems (Shikha Tuteja, Ravinder Tonk, Moushumi Das, Vishal Jagota, and Rajan Vohra)
• Securing the Cloud: Mitigating Data Security and Privacy Challenges in Cloud Computing (S Babu Reddy, R Ganesh, Nirmalya Pal, Sammarth Choudhury, and Riya Sil)
• Transforming Investment Management Strategies: The Impact of Intelligent Systems on Modern Financial Planning Utilizing Robo-Advisors (Manik Rakhra and Tiyas Sarkar)
• AI or Bye: Tackling Ethical Dilemmas in Financial Automation (Shivangi Kashyap)
• Artificial Intelligence in Portfolio Management: Transforming Financial Decision-Making and Optimizing Risk Management (Chirra Baburao, Sakha Gangadhara Rama Rao, Lova Baliji, Firdous Ahmad Malik, and Krishan Arora)
• Transforming Indian Banking: The Impact of Intelligent Systems and Process Automation on Financial Innovation (Tiyas Sarkar and Manik Rakhra)
• AI, Finance, and the Future of Healthcare and Medical Tourism in Delhi (Pankhuri Kapoor and Tushinder Preet Kaur)
• Role of Artificial Intelligence in Cybersecurity: Innovations and Challenges (Prabhjeet Kaur, Amandeep Kaur, Ramandeep Sandhu, Deepika Ghai, Veer P Gangwar, and Lokesh Jasrai)
• Role of Industry 5.0 in Enabling Technologies for Manufacturing Systems: A Sustainability and Intelligence Perspective (Rajesh Singh, Anita Gehlot, Shaik Vaseem Akram, Mohammed Ismail Iqbal, and Praveen Kumar Malik)
• AI-Based Real-Time Problem-Solving Using Smart Technologies (Nahita Pathania, Balraj Singh, and Isha Batra)

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.