About the Book
In today's fast-paced financial landscape, professionals face an uphill battle in effectively integrating data analytics and artificial intelligence (AI) into quantitative risk assessment and financial computation. The constantly increasing volume, velocity, and variety of data generated by digital transactions, market exchanges, and social media platforms offer unparalleled financial analysis and decision-making opportunities. However, professionals need sophisticated AI technologies and data analytics methodologies to harness this data for predictive modeling, risk assessment, and algorithmic trading. Navigating this complex terrain can be daunting, and a comprehensive guide that bridges theory and practice is necessary. Data Analytics and AI for Quantitative Risk Assessment and Financial Computation is an all-encompassing reference for finance professionals, risk managers, data scientists, and students seeking to leverage the transformative power of AI and data analytics in finance. The book encapsulates this integration's theoretical underpinnings, practical applications, challenges, and future directions, empowering readers to enhance their analytical capabilities, make informed decisions, and stay ahead in the competitive financial landscape. The book provides a structured approach that covers foundational topics in quantitative risk assessment, data analytics, and AI, providing a roadmap for professionals to navigate the complexities of integrating AI and data analytics into financial practices. The book explores specific applications and methodologies, including machine learning algorithms for economic modeling and AI-driven strategies for risk management, providing readers with practical insights and strategies for success in the AI-driven financial future. With this book as a guide, professionals can confidently embrace the power of AI and data analytics to stay ahead in the ever-evolving economic landscape.
About the Author :
Mohammad Gouse Galety , a seasoned professional in computer science, is currently a Professor at the computer science department of Samarkand International University of Technology, Samarkand, Uzbekistan. His research interests encompass a wide range of computer and information science, focusing on Web Mining, Computer Vision, IoT, Machine Learning, and Artificial Intelligence. His impactful research has led to the (co) authorship of several journal papers and international conference proceedings indexed by Springer, Web of Science, and Scopus, holding four patents and writing six books. His standing in the academic community is further solidified by his role as a Fellow of the IEEE and ACM.With a career spanning over two decades, Mohammad Gouse Galety has served in many national and international organizations, solidifying his expertise in the field. His teaching experience includes roles at Sree Vidyanikethan Degree College, India; Emeralds Degree College, Tirupati, India; Brindavan College of Engineering, India; Kuwait Educational Center, Kuwait; Ambo University, Ethiopia; Debre Berhan University, Ethiopia; Lebanese French University, Iraq; and Catholic University in Erbil, Iraq. He imparts his knowledge to undergraduate and postgraduate students, teaching various courses in computer science and information technology/science engineering. Jimbo H. Claver (Professor, PhD Supervisor, HoD, and JSPS Fellow) received in 2001 the Ph.D. degree in Applied Mathematics and Statistics from the Moscow State University named Lomonosov, and he did post-doctorate studies with the Institute of Statistical Mathematics in Tokyo, Japan. Currently, he is a Full Professor and Head of the Department of Applied Mathematics with the Samarkand International University of Technology (SIUT). His previous positions include Head of the Department of Mathematics at the American International University (Kuwait), - Professor of Applied Mathematics at the American University of Afghanistan, Associate Professor of Applied Mathematics with the Nara Institute of Science and Technology, Nara (Japan), Visiting Professor of Applied Mathematics with Waseda. University (Japan), Assistant Professor of Mathematics and Statistics with Lakeland College, Tokyo (Japan), Senior Lecturer with the University of York (United Kingdom), Lecturer with Sino British College-Shanghai Institute of Science and Technology (China), visiting research fellow with the Swiss Banking Institute (Zurich) and visiting fellow Morehouse College, Atlanta, Georgia (USA). His research focuses on system modeling, predictive analysis, system control, stochastic processes, applied probability, applied statistics, data analysis, quantitative finance, and actuary. In addition, he serves as editor and reviewer of several international journals; he is a member of the International Mathematical Union (IMU), Japan Mathematical Society (JMS), Japan Statistical Society (JSS), and Moscow Mathematical Society (MMS). He has published four books and numerous scientific papers in pure, applied mathematics, applied statistics, quantitative finance, quantitative risk management, and data analysis in peer-reviewed journals and conference proceedings. He also supervised countless MSc, PhD, and MBA students. Narasimha Rao Vajjhala is working as the Dean of the Faculty of Engineering and Architecture at the University of New York Tirana, Albania. He had previously worked as the Chair of Computer Science and Software Engineering programs at the American University of Nigeria. He is a senior member of ACM and IEEE. He is the Editor-in-Chief (EiC) of the International Journal of Risk and Contingency Management (IJRCM). He is also a member of the Risk Management Society (RIMS), and the Project Management Institute (PMI). He has over 23 years of experience teaching programming and database-related courses at both graduate and undergraduate levels in Europe and Africa. He has also worked as a consultant in technology firms in Europe and has experience participating in EU-funded projects. He has completed a Doctorate in Information Systems and Technology (United States); holds a Master of Science in Computer Science and Applications (India), and a Master of Business Administration with a specialization in Information Systems (Switzerland). Arul Kumar Natarajan , an Assistant Professor at the Department of Computer Science, Samarkand International University of Technology, Uzbekistan, obtained his Doctoral of Philosophy from Bharathidasan University, India, in 2017. He is also pursuing a postdoctoral Research in Generative AI for Cybersecurity at the Singapore Institute of Technology, Singapore. With a teaching career spanning 14 years, he has held positions at various esteemed institutions, including Christ University, Bishop Heber College in India, and Debre Berhan University in Ethiopia. Dr. Arul has contributed significantly to academia, specializing in cybersecurity and artificial intelligence, with 73 publications, including articles, presentations, and book chapters. He has edited and published three books with IGI Global Publisher, USA, focusing on Python data structures, algorithms, and geospatial application development. Beyond academia, Dr. Arul is a prolific innovator, holding 17 patents in India and one submitted patent in the United Kingdom, covering domains such as physics, communication, and computer science. He has also completed over 33 certifications from renowned institutions such as IBM, Google, and Amazon, showcasing his commitment to continuous learning and professional development. In addition to his scholarly and innovative endeavors, Dr. Natarajan is proficient in networking, having passed the CCNA: Routing and Switching Exam from CISCO and the Networking Fundamentals exam from Microsoft. Furthermore, he has chaired numerous technical sessions and delivered over 15 invited talks at national and international forums.
