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Intelligent Asset Management

Author: Frank Xing

Publisher: Springer Nature

Published: 2019-11-13

Total Pages: 149

ISBN-13: 3030302636

This book presents a systematic application of recent advances in artificial intelligence (AI) to the problem of asset management. While natural language processing and text mining techniques, such as semantic representation, sentiment analysis, entity extraction, commonsense reasoning, and fact checking have been evolving for decades, finance theories have not yet fully considered and adapted to these ideas. In this unique, readable volume, the authors discuss integrating textual knowledge and market sentiment step-by-step, offering readers new insights into the most popular portfolio optimization theories: the Markowitz model and the Black-Litterman model. The authors also provide valuable visions of how AI technology-based infrastructures could cut the cost of and automate wealth management procedures. This inspiring book is a must-read for researchers and bankers interested in cutting-edge AI applications in finance.

Value Based and Intelligent Asset Management

Author: Adolfo Crespo Márquez

Publisher: Springer

Published: 2019-06-29

Total Pages: 403

ISBN-13: 3030207048

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The fundamental motivation of this book is to contribute to the future advancement of Asset Management in the context of industrial plants and infrastructures. The book aims to foster a future perspective that takes advantage of value-based and intelligent asset management in order to make a step forward with respect to the evolution observed nowadays. Indeed, the current understanding of asset management is primarily supported by well-known standards. Nonetheless, asset management is still a young discipline and the knowledge developed by industry and academia is not set in stone yet. Furthermore, current trends in new organizational concepts and technologies lead to an evolutionary path in the field. Therefore, this book aims to discuss this evolutionary path, starting first of all from the consolidated theory, then moving forward to discuss: • The strategic understanding of value-based asset management in a company; • An operational definition of value, as a concept on the background of value-based asset management; • The identification of intelligent asset management, with the aim to frame a set of “tools” recommended to support the asset-related decision-making process over the asset lifecycle; • The emergence of new technologies such as cyber physical systems and digital twins, and the implications of this on asset management.

The Intelligent Asset Allocator: How to Build Your Portfolio to Maximize Returns and Minimize Risk

Author: William J. Bernstein

Publisher: McGraw Hill Professional

Published: 2000-10-13

Total Pages: 225

ISBN-13: 0071399577

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Time-Tested Techniques - Safe, Simple, and Proven Effective - for Building Your Own Investment Portfolio. "As its title suggest, Bill Bernstein's fine book honors the sensible principles of Benjamin Graham in the Intelligent Investor Bernstein's concepts are sound, his writing crystal clear, and his exposition orderly. Any reader who takes the time and effort to understand his approach to the crucial subject of asset allocation will surely be rewarded with enhanced long-term returns." - John C. Bogle, Founder and former Chief Executive Officer, The Vanguard Group President, Bogle Financial Markets Research Center Author, common Sense on Mutual Funds. "Bernstein has become a guru to a peculiarly '90s group: well-educated, Internet-powered people intent on investing well - and with minimal 'help' from professional Wall Street." - Robert Barker, Columnist, BusinessWeek. "I go home and tell my wife sometimes, 'I wonder if [Bernstein] doesn't know more than me.' It's humbling." - John Rekenthaler, Research Chief, Morningstar Inc. William Bernstein is an unlikely financial hero. A practicing neurologist, he used his self-taught investment knowledge and research to build one of today's most respected investor's websites. Now, let his plain-spoken The Intelligent Asset Allocator show you how to use the time-honored techniques of asset allocation to build your own pathway to financial security - one that is easy-to-understand, easier-to-apply, and supported by 75 years of solid history and wealth-building results.

Artificial Intelligence in Asset Management

Author: Söhnke M. Bartram

Publisher: CFA Institute Research Foundation

Published: 2020-08-28

Total Pages: 95

ISBN-13: 195292703X

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Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.

"Maintenance and Intelligent Asset Management (ICMIAM), International Conference On".

Author:

Publisher:

Published:

Total Pages:

ISBN-13:

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Asset Maintenance Management in Industry

Author: Rama Srinivasan Velmurugan

Publisher: Springer Nature

Published: 2021-05-27

Total Pages: 177

ISBN-13: 3030741540

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This book introduces readers to essential strategies, practices, and benchmarking for asset maintenance in operations intensive industries. Drawing on a case study from the oil and gas sector, it offers a methodology and practical solutions to help maintenance practitioners select and formulate an asset maintenance strategy, and to establish best maintenance practices at an organizational level using the frameworks developed here. It is intended for industry practitioners, young maintenance professionals, and students of engineering management who aspire to a career in operations intensive industries.

Engineering Asset Management

Author: Dimitris Kiritsis

Publisher: Springer Science & Business Media

Published: 2011-02-03

Total Pages: 800

ISBN-13: 0857293206

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Engineering Asset Management discusses state-of-the-art trends and developments in the emerging field of engineering asset management as presented at the Fourth World Congress on Engineering Asset Management (WCEAM). It is an excellent reference for practitioners, researchers and students in the multidisciplinary field of asset management, covering such topics as asset condition monitoring and intelligent maintenance; asset data warehousing, data mining and fusion; asset performance and level-of-service models; design and life-cycle integrity of physical assets; deterioration and preservation models for assets; education and training in asset management; engineering standards in asset management; fault diagnosis and prognostics; financial analysis methods for physical assets; human dimensions in integrated asset management; information quality management; information systems and knowledge management; intelligent sensors and devices; maintenance strategies in asset management; optimisation decisions in asset management; risk management in asset management; strategic asset management; and sustainability in asset management.

Engineering Asset Management

Author: Joseph Mathew

Publisher: Springer Science & Business Media

Published: 2008-02-06

Total Pages: 1260

ISBN-13: 1846288142

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It is with great pleasure that we welcome you to the inaugural World Congress on Engineering Asset Management (WCEAM) being held at the Conrad Jupiters Hotel on the Gold Coast from July 11 to 14, 2006. More than 170 authors from 28 countries have contributed over 160 papers to be presented over the first three days of the conference. Day four will be host to a series of workshops devoted to the practice of various aspects of Engineering Asset Management. WCEAM is a new annual global forum on the various multidisciplinary aspects of Engineering Asset Management. It deals with the presentation and publication of outputs of research and development activities as well as the application of knowledge in the practical aspects of: strategic asset management risk management in asset management design and life-cycle integrity of physical assets asset performance and level of service models financial analysis methods for physical assets reliability modelling and prognostics information systems and knowledge management asset data management, warehousing and mining condition monitoring and intelligent maintenance intelligent sensors and devices regulations and standards in asset management human dimensions in integrated asset management education and training in asset management and performance management in asset management. We have attracted academics, practitioners and scientists from around the world to share their knowledge in this important emerging transdiscipline that impacts on almost every aspect of daily life.

Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies

Author: Joseph Mathew

Publisher: Springer

Published: 2018-11-11

Total Pages: 784

ISBN-13: 3319957112

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These proceedings include a collection of papers on a range of topics presented at the 12th World Congress on Engineering Asset Management (WCEAM) in Brisbane, 2 – 4 August 2017. Effective strategies are required for managing complex engineering assets such as built environments, infrastructure, plants, equipment, hardware systems and components. Following the release of the ISO 5500x set of standards in 2014, the 12th WCEAM addressed important issues covering all aspects of engineering asset management across various sectors including health. The topics discussed by the congress delegates are grouped into a number of tracks, including strategies for investment and divestment of assets, operations and maintenance of assets, assessment of assets’ health conditions, risk and vulnerability, technologies, and systems for management of assets, standards, education, training and certification.

Cloud IoT

Author: Jitendra Kumar Verma

Publisher: CRC Press

Published: 2022-12-30

Total Pages: 286

ISBN-13: 100064734X

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The Internet of Things (IoT) is one of the most disruptive technologies, enabling ubiquitous and pervasive computing scenarios. IoT is based on intelligent self-configuring nodes (also known as things) interconnected in a dynamic and global collaborative network infrastructure. In contrast, Cloud computing has virtually unlimited capabilities in terms of storage and processing power, speed, and is a more mature technology. Due to intrinsic nature of Cloud computing and IoT, they both complement each other. Recently, we are witnessing an increasing trend in exploiting use of both Cloud and IoT together. Salient Features: • Presents latest developments in Cloud computing • Presents latest developments in Internet of Things • Establishes links between interdisciplinary areas where IoT and Cloud both can play a role for improvement of process • Intends to provide an insight into non-IT related models for improvement of lives • Bridges the gap between obsolete literature and current literature This book is aimed primarily at advanced undergraduates and graduates working with IoT and cloud computing. Researchers, academicians, policy makers, government officials, NGOs, and industry research professionals would also find the book useful.