Artificial Intelligence In Project Management And Making Decisions

This book presents new developments and advances in the theory, applications, and design methods of computational intelligence, integrated in various areas of project management and BIM environments. The chapters of the book span different soft computing techniques, such as: linguistic data summarization, fuzzy systems, evolutionary algorithms, estimation distribution algorithms, computing with words, augmented reality, and hybrid intelligence systems. In addition, different applications of the neutrosophic theory are presented for the treatment of uncertainty and indeterminacy in decision-making processes. Several chapters of the book constitute systematic reviews, useful for future investigations in the following topics: linguistic summarization of data, augmented reality, and the development of BIM technologies. It is a particularly interesting book for engineers, researchers, specialists, teachers, and students related to project management and the development of BIM technologies.

Embrace the intersection of human ingenuity and technological innovation. Gartner’s research team have predicted that by 2030, 80% of Project Management tasks will be run by AI. AI is not going to go away, so the longer project managers ignore it, the more they are losing out. Not only losing out on the benefits of AI but losing out on staying ahead in their careers. Organisations that effectively leverage AI in project management gain a competitive edge. They can deliver projects more efficiently, meet deadlines consistently, and adapt to changing circumstances with greater agility, ultimately contributing to the overall success of the organization. Are you ready to transform your project management approach? Artificial Intelligence in Project Management is the essential guide for project managers who are new to AI and want to catch up with this game-changing technology. This book shows how AI can save you time, and support you in being more efficient in your role. With real-world examples, practical use cases and actionable insights, this book bridges the gap between complex AI concepts and everyday project management tasks. It provides clear, actionable steps to help you integrate AI into your projects, even if you're starting from scratch. Don't get left behind. Equip yourself with this essential know-how to lead your projects with confidence in this new age. The efficiency gains from using AI tools in project management allows us more time to focus on the people-side of project management. AI enables project managers and teams to stay on top of their project planning and execution activities, whilst freeing up time for much needed stakeholder management. Target audience for this book: Project and Programme Managers, workstream leaders, project management officers, Business Analysts and all professionals interested in AI and Project Management. This is also a brilliant text to support graduate and post-graduate studies in Project Management. Reading this book will help you: · Understand the fundamentals of AI and its implications for project management. · Learn about key AI tools and technologies applicable to project management tasks. · Discover real-world examples of successful AI integration in project environments. · Learn how to leverage AI for decision-making, planning, and risk management. · Utilise a set if time-saving use cases where AI can assist in project management. · Understand what you need to do to stay ahead in your career as a Project Manager. As always with this author’s books, there is no waffle, page filling theory or unnecessary padding. Practical. Relevant. Useful. EMANUELA is a performance improvement coach with over 20 years’ experience in project management. She has trained thousands of people on the subject around the world and has a knack for explaining complex topics simply. Whether training in-person or virtually, she engages individuals and teams with her energy, enthusiasm, and her passion for continuous improvement.

AI Project Manager: Embracing Technology for Project Delivery" is an informational eBook that illuminates the transformative impact of Artificial Intelligence (A.I.) on project management. This resource delves into AI's core, showcases real-world applications, and demonstrates how AI tools can enhance project efficiency, mitigate risks, and streamline decision-making. Whether you're a seasoned project manager or new to the field, this guide offers a clear pathway to leverage AI for success in project delivery. Stay ahead of the curve and discover how AI is reshaping the future of project management.

The AI Revolution in Project Management: Unlocking Success Secrets with AI" explores the transformative power of artificial intelligence in revolutionizing project management. Peter F. Schindler guides readers through the integration of AI into project management, illustrating its potential to enhance efficiency, optimize both classic and agile projects, and overcome traditional challenges. This book is essential for decision-makers aiming to leverage AI for profitable project advancements, offering practical insights, strategies, and case studies from various industries. It serves as a comprehensive manual for navigating the complexities of AI integration, ensuring project success in an era where technological advancements redefine the standards of management and execution. Perfect for professionals seeking to stay ahead in the rapidly evolving business landscape, this book provides the tools to harness AI's capabilities, transforming challenges into opportunities for unprecedented project success.

There are many myths about Artificial Intelligence (AI) relating to what it is and what it can and cannot do. The people making decisions on AI projects are often not technologically savvy and unable to find easy answers. The spending on and the returns from AI projects are not necessarily straightforward. Part of the reason for this is the lack of understanding of the impact of critical decision criteria. AI touches on many ethical concepts - data privacy, validity, and, more importantly, its potential misuse. AI often replaces human decision-making, as managers do not clearly understand the implications of those choices. This book provides an easy and accessible guide for practitioners without a technological background to understand AI. It guides the reader through the fundamental issues confronting decision-makers. It offers advice on ‘how to ask relevant questions’ using the 15 decision scales. There is currently no comparable book on the market that acts as a pocketbook management reference guide for the AI layman.

In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics. Covering innovative approaches, advanced algorithms, and data analysis methodologies, this book addresses complex problems across topics such as machine learning, pattern recognition, data mining, optimization, and predictive modeling. With clear explanations, practical examples, and cutting-edge research, this book seeks to expand the understanding of a wide readership, including students, researchers, practitioners, and technology enthusiasts eager to explore these exciting fields. Featuring real-world applications in education, health care, climate modeling, cybersecurity, smart transportation, conversational systems, and material analysis, among others, this book highlights how these technologies can drive innovation and generate competitive advantages.

Although some people had doubts about the usefulness of such solutions in the past, artificial intelligence (AI) plays a growing role in modern business. It can be expected that the interest in it will also lead to an increase in support for the planning, evaluation, and implementation of projects. In particular, the proper functioning of multifaceted evaluation methods has a crucial impact on the appropriate planning and execution of various projects, as well as the effective achievement of the organization’s goals. This book offers a presentation of the complex problems and challenges related to the development of AI in project management, proposes an integrated approach to knowledge-based evaluation, and indicates the possibilities of improving professional practical knowledge in this field. The unique contribution of this book is to draw attention to the possibilities resulting from conducting transdisciplinary research and drawing on the rich achievements in the field of research development on knowledge-based systems that can be used to holistically support the processes of planning, evaluation, and project management. The concept of the integrated approach to knowledge-based evaluation is presented and developed as a result of drawing inspiration mainly from the systems approach, generative AI, and selected mathematical models. Presented in a highly accessible manner, the book discusses mathematical tools in a simple way, which enables understanding of the content by readers across broad subject areas who may be not only participants in specialist training and university students but also practitioners, consultants, or evaluators. This book will be a valuable resource for academics and upper-level students, in particular, across project management-related fields, and of great interest to all those looking to understand the challenges and effectiveness of AI in business.