Artificial Intelligence for Asset Management and Investment: A Strategic Perspective
Artificial Intelligence for Asset Management and Investment: A Strategic Perspective
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AI technology is essential for organizations to compete in the Fintech era. AI can transform asset management and investment banking, but its current application is limited and fragmented. This book provides a strategic viewpoint on how AI can be integrated into investment finance, leading to improved performance in compliance, management, customer service, and beyond. It also covers how to build AI into an organization to remain competitive in the Fintech world and overcome the governance and leadership challenges inherent in AI strategy.
Format: Hardback
Length: 320 pages
Publication date: 08 April 2021
Publisher: John Wiley & Sons Inc
The emergence of artificial intelligence (AI) is a transformative force that is reshaping the landscape of various industries, including finance. While AI has already made significant strides in the financial sector, its current application remains limited and fragmented. Existing AI implementations tend to focus on solving specific business issues rather than serving as a robust technology framework for the next generation of finance.
Artificial Intelligence for Asset Management and Investment offers a comprehensive perspective on how AI can be fully integrated into investment finance, leading to enhanced performance in compliance, management, customer service, and beyond. This book stands out as the only resource available that takes a broad and holistic approach to leveraging AI in asset management. By following the guidance provided in this book, financial professionals will be able to establish or revitalize their asset management firms by utilizing artificial intelligence as the cornerstone and foundation.
The importance of integrating AI into the strategic DNA of financial firms cannot be overstated. As AI continues to evolve and advance, it is rapidly becoming the single most competitive factor in the financial industry. By adopting better AI solutions, financial institutions can achieve superior results and maintain their competitive edge. However, if they fail to integrate AI strategically, they risk being left behind in the rapidly changing landscape of Fintech.
In this book, readers will gain a deep understanding of how artificial intelligence can be integrated into an integrated, strategic asset management framework. They will learn how to build AI into their organization to remain competitive in the world of Fintech. The book goes beyond the realm of isolated AI implementations and explores the potential for even greater benefits by leveraging the power of AI across different business functions.
One of the key challenges inherent in AI strategy is the need for effective governance and leadership. The book addresses this issue by providing practical insights and best practices for developing and implementing AI-driven initiatives within financial institutions. It also offers valuable advice on overcoming the regulatory and ethical considerations associated with AI, ensuring that ethical and responsible practices are followed throughout the AI lifecycle.
Another significant aspect of AI for Asset Management is its ability to map the high-tech world of AI onto complex and ever-changing financial markets. The book provides a comprehensive guide to understanding and leveraging AI technologies, including machine learning, natural language processing, and deep learning, to enhance investment analysis, risk management, and portfolio optimization.
In conclusion, Artificial Intelligence for Asset Management and Investment is a must-read for financial professionals who want to stay ahead of the curve in the Fintech era. By leveraging the power of AI, financial institutions can enhance their performance, improve customer satisfaction, and remain competitive in a rapidly evolving industry. The book offers a comprehensive and practical approach to integrating AI into asset management, providing valuable insights and best practices for building an AI-driven organization.
Weight: 524g
Dimension: 162 x 236 x 33 (mm)
ISBN-13: 9781119601821
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