Artificial intelligence technologies management (81 résultats)

Hardcover. Etat : Very Good. Revised, Subsequent. With dust jacket. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Hardcover. Etat : Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Etat : Fine. 272 pp., hardcover, previous owner's name neatly inked to the title page, faint age toning to edges, else very good in very good dust jacket. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.…

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Taschenbuch. Etat : Neu. Neuware - Artificial Intelligence in Construction Project Management is a practical and forward-looking guide to how AI is transforming the construction industry.Construction projects are becoming more complex, data-driven, and time-sensitive than ever before. Project managers, engineers, contractors, and decision-makers are under constant pressure to improve efficiency, control costs, reduce delays, manage risks, and maintain safety. This book shows how Artificial Intelligence can help meet those challenges in real construction environments.Written in a clear and accessible style, this book explains how AI technologies such as machine learning, computer vision, predictive analytics, digital monitoring, and smart data systems can be applied to key areas of construction project management. It explores how AI can improve planning and scheduling, cost estimation, budget control, risk management, safety monitoring, BIM integration, and construction site progress tracking.The book also examines the growing role of digital transformation in construction, including the use of BIM, IoT, drones, robotics, digital twins, and smart infrastructure systems. Rather than focusing only on theory, it presents practical insights, industry relevance, and strategic recommendations that help readers understand how AI can be introduced effectively in construction organizations.Whether you are a construction professional, project manager, engineer, student, researcher, or technology enthusiast, this book will help you understand the opportunities, challenges, and future potential of AI in the built environment.Inside this book, you will discover: - How AI is reshaping construction project management- The role of machine learning, deep learning, and computer vision in construction- How AI improves planning, scheduling, and cost estimation- Practical uses of AI in risk management and safety monitoring- The connection between AI, BIM, drones, IoT, and digital construction- Key challenges, limitations, and strategies for successful implementation- Future trends such as digital twins, autonomous equipment, and smart infrastructureThis book is an essential resource for anyone who wants to understand how Artificial Intelligence can improve construction performance, support better decisions, and shape the future of modern project management.…

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Etat : New.

Hardcover. Etat : As New.

Etat : New. Print on Demand.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : New. Print on Demand.

Paperback. Etat : Brand New. 681 pages. 9.25x6.10x1.55 inches. In Stock.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Current experimental systems in industry, government, and the military take advantage of knowledge-based processing. For example, the Defense Advanced Research Projects Agency (DARPA), and the United States Geological Survey (USGS) are supporting the develop ment of information systems that contain diverse, vast, and growing repositories of data (e.g., vast databases storing geographic informa tion). These systems require powerful reasoning capabilities and pro cessing such as data processing, communications, and multidisciplinary of such systems will scientific analysis. The number and importance grow significantly in the near future. Many of these systems are severely limited by current knowledge base and database systems technology. Currently, knowledge-based system technology lacks the means to provide efficient and robust knowledge bases, while database system technology lacks knowledge representation and reasoning capabilities. The time has come to face the complex research problems that must be solved before we can design and implement real, large scale software systems that depend on knowledge-based processing. To date there has been little research directed at integrating knowledge base and database technologies. It is now imperative that such coordinated research be initiated and that it respond to the urgent need for a tech nology that will enable operational large-scale knowledge-based system applications.…

Etat : New. In English.

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paperback. Etat : New. Language:Chinese.Paperback. Pub Date: 2025-01 Publisher: Dongbei University of Finance and Economics Press This book provides an overview of the major trends in stock portfolio and risk management. and discusses in detail various topics that financial institutions may face in this field. including machine learning and artificial intelligence in portfolio management. alternative data. text analysis. smart beta. IoT-based risk factors. environmental social responsibility and corporate governanc.…

Etat : New. KlappentextrnrnIn Artificial Intelligence in Finance and Investing, authors Robert Trippi and Jae Lee explain this fascinating new technology in terms that portfolio managers, institutional investors, investment analysis, and information systems.

hardcover. Etat : Fine. Open Books is a nonprofit social venture that provides literacy experiences for thousands of readers each year through inspiring programs and creative capitalization of books.

hardcover. Etat : Very Good.

hardcover. Etat : Good.

Buch. Etat : Neu. Neuware - In Artificial Intelligence in Finance and Investing, authors Robert Trippi and Jae Lee explain this fascinating new technology in terms that portfolio managers, institutional investors, investment analysis, and information systems professionals can understand. Using real-life examples and a practical approach, this rare and readable volume discusses the entire field of artificial intelligence of relevance to investing, so that readers can realize the benefits and evaluate the features of existing or proposed systems, and ultimately construct their own systems. Topics include using Expert Systems for Asset Allocation, Timing Decisions, Pattern Recognition, and Risk Assessment; overview of Popular Knowledge-Based Systems; construction of Synergistic Rule Bases for Securities Selection; incorporating the Markowitz Portfolio Optimization Model into Knowledge-Based Systems; Bayesian Theory and Fuzzy Logic System Components; Machine Learning in Portfolio Selection and Investment Timing, including Pattern-Based Learning and Fenetic Algorithms; and Neural Network-Based Systems. To illustrate the concepts presented in the book, the authors conclude with a valuable practice session and analysis of a typical knowledge-based system for investment management, K-FOLIO. For those who want to stay on the cutting edge of the 'application' revolution, Artificial Intelligence in Finance and Investing offers a pragmatic introduction to the use of knowledge-based systems in securities selection and portfolio management.…

Hardcover. Etat : New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

hardcover. Etat : New. In shrink wrap. Looks like an interesting title.

Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Etat : As New. Unread book in perfect condition.