Advanced Machine Learning Algorithms For Complex Financial Applications
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Advanced Machine Learning Algorithms for Complex Financial Applications
The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world. Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students.
Issues of Sustainability in AI and New-Age Thematic Investing
In the face of an evolving global landscape characterized by climate change and a pressing need for sustainable development, the finance sector remains at a critical juncture. Traditional financial models struggle to address the challenges posed by the transition to a low-carbon economy, and unlocking private investments for sustainable initiatives remains an uphill battle. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into financial systems presents both promise and peril, with the potential to reshape the industry while posing unprecedented challenges. Issues of Sustainability in AI and New-Age Thematic Investing is a beacon of insight and solutions in the realm of green finance and AI/ML integration. Geared toward academic scholars, policymakers, and industry experts, this book serves as a comprehensive guide to navigating the intricacies of sustainable development and energy transition. By highlighting the pivotal role of AI/ML in green finance, the publication bridges the gap between theoretical understanding and practical implementation, offering actionable solutions for unlocking private investments.
Innovative Ventures and Strategies in Islamic Business
In today’s realities of global business, Islamic organizations face a pressing challenge: how to navigate the complexities of modern markets while remaining true to their ethical principles. This dilemma poses a significant obstacle for scholars seeking to understand and address the unique needs of Islamic business. In response, editors Ahmad Rafiki and Adel Sarea propose a compelling solution, offering a comprehensive exploration of Islamic business practices that bridges the gap between theory and application. In this groundbreaking book, Innovative Ventures and Strategies in Islamic Business presents a scholarly examination of Islamic business principles, rooted in both theoretical frameworks and empirical studies. By addressing the urgent need for a scholastic approach that considers the cultural contexts of Muslim communities, the editors provide a nuanced understanding of how Islamic organizations can thrive in the modern economy. Through real-world case studies and best practices, they offer actionable insights tailored for practitioners, policymakers, and scholars alike.