BOOKS - Applying Artificial Intelligence In Project Management
Applying Artificial Intelligence In Project Management - Paul Boudreau 2024 PDF | EPUB Mercury Learning and Information BOOKS
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Applying Artificial Intelligence In Project Management
Author: Paul Boudreau
Year: 2024
Pages: 233
Format: PDF | EPUB
File size: 10.1 MB
Language: ENG



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The book "Applying Artificial Intelligence in Project Management" explores the potential benefits and challenges of using artificial intelligence (AI) in project management. The author argues that AI has the potential to revolutionize project management by automating routine tasks, improving decision-making, and enhancing collaboration among team members. However, the book also acknowledges the limitations and risks associated with AI adoption, such as job displacement and ethical concerns. The book begins by discussing the current state of project management and the challenges it faces, including complexity, uncertainty, and limited resources. The author then introduces the concept of AI and its potential applications in project management, highlighting the benefits of using AI tools such as machine learning, natural language processing, and predictive analytics. The book provides examples of how AI can be used in project management, including project planning, scheduling, risk management, and stakeholder engagement. One of the key themes of the book is the need for project managers to understand the process of technology evolution and how it impacts their work. The author emphasizes the importance of staying up-to-date with the latest technological advancements and adapting to new tools and techniques in order to remain relevant in the field. This includes developing a personal paradigm for perceiving the technological process of developing modern knowledge as the basis for survival of humanity and the survival of the unification of people in a warring state. The book also explores the ethical implications of AI adoption in project management, including issues related to data privacy, bias, and accountability.
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