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| applying artificial intelligence to project management: Applying Artificial Intelligence to Project Management Paul Boudreau, 2019-11-13 Author Paul Boudreau shares the keys to project management success using a modern approach: artificial intelligence. Within the pages of Applying Artificial Intelligence to Project Management, Boudreau describes five AI tools in concept and how they apply directly to project success, as well as the strategy and method to use to purchase and implement AI tools for project management. Understand the difference between automating a task and changing it by using AI. Discover how AI uses data and the importance of data maintenance. Learn why projects fail and how using artificial intelligence for project management improves project success rates. Read project management success stories in one of the best business books on machine learning, and prepare to leave behind that 50 percent project success rate for one that's 95 percent or higher. |
| applying artificial intelligence to project management: Applying Artificial Intelligence in Project Management Paul Boudreau, 2024-10-10 This book describes the AI tools in concept and how they apply directly to project success. It also demonstrates the strategy and methods used to purchase and implement AI tools for project management. You will understand the difference between automating a task and changing it by using AI. Discover how AI uses data and the importance of data maintenance. Learn why projects fail and how using artificial intelligence for project management improves project success rates. The book features project management success stories and demonstrates how to leave behind that low project success rate for one that is 95 percent or higher. Supplemental teaching materials are available for use as a textbook. FEATURES: Covers a practical approach to using AI in project management Features a chapter on combining AI with other technologies such as IoT, Blockchain, and virtual reality for further insights into leading-edge changes for project management Demonstrates how to achieve higher productivity and incredible project performance by applying AI concepts Includes supplemental teaching materials for use as a textbook |
| applying artificial intelligence to project management: How the Project Management Office Can Use Artificial Intelligence to Improve the Bottom Line Paul Boudreau, 2020-04-02 Artificial Intelligence is finally making its way into project management and the challenge is to take advantage of all the benefits and avoid the pitfalls. In a highly competitive industrial environment, the PMO is in an ideal position to understand, adopt and optimize AI tools for project management. The PMO can align corporate objectives to the new technology and vastly improve the bottom line.This is a both a practical guide and visionary description of how AI will disrupt project management and how the PMO can harness this capability to create a substantial competitive advantage for the organization. |
| applying artificial intelligence to project management: Robot-Proof, revised and updated edition Joseph E. Aoun, 2024-10-15 A fresh look at a “robot-proof” education in the new age of generative AI. In 2017, Robot-Proof, the first edition, foresaw the advent of the AI economy and called for a new model of higher education designed to help human beings flourish alongside smart machines. That economy has arrived. Creative tasks that, seven years ago, seemed resistant to automation can now be performed with a simple prompt. As a result, we must now learn not only to be conversant with these technologies, but also to comprehend and deploy their outputs. In this revised and updated edition, Joseph Aoun rethinks the university’s mission for a world transformed by AI, advocating for the lifelong endeavor of a “robot-proof” education. Aoun puts forth a framework for a new curriculum, humanics, which integrates technological, data, and human literacies in an experiential setting, and he renews the call for universities to embrace lifelong learning through a social compact with government, employers, and learners themselves. Drawing on the latest developments and debates around generative AI, Robot-Proof is a blueprint for the university as a force for human reinvention in an era of technological change—an era in which we must constantly renegotiate the shifting boundaries between artificial intelligence and the capacities that remain uniquely human. |
| applying artificial intelligence to project management: Project Management with Dynamic Scheduling Mario Vanhoucke, 2013-11-29 The topic of this book is known as dynamic scheduling, and is used to refer to three dimensions of project management and scheduling: the construction of a baseline schedule and the analysis of a project schedule’s risk as preparation of the project control phase during project progress. This dynamic scheduling point of view implicitly assumes that the usability of a project’s baseline schedule is rather limited and only acts as a point of reference in the project life cycle. Consequently, a project schedule should especially be considered as nothing more than a predictive model that can be used for resource efficiency calculations, time and cost risk analyses, project tracking and performance measurement, and so on. In this book, the three dimensions of dynamic scheduling are highlighted in detail and are based on and inspired by a combination of academic research studies at Ghent University (www.ugent.be), in-company trainings at Vlerick Business School (www.vlerick.com) and consultancy projects at OR-AS (www.or-as.be). First, the construction of a project baseline schedule is a central theme throughout the various chapters of the book, and is discussed from a complexity point of view with and without the presence of project resources. Second, the creation of an awareness of the weak parts in a baseline schedule is discussed at the end of the two baseline scheduling parts as schedule risk analysis techniques that can be applied on top of the baseline schedule. Third, the baseline schedule and its risk analyses can be used as guidelines during the project control step where actual deviations can be corrected within the margins of the project’s time and cost reserves. The second edition of this book has seen corrections, additions and amendments in detail throughout the book. Moreover Chapter 15 on Dynamic Scheduling with ProTrack has been completely rewritten and extended with a section on ProTrack as a research tool. |
| applying artificial intelligence to project management: Artificial Intelligence in Construction Engineering and Management Limao Zhang, Yue Pan, Xianguo Wu, Mirosław J. Skibniewski, 2021-06-18 This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally. |
| applying artificial intelligence to project management: 2021 IEEE 23rd Conference on Business Informatics (CBI) IEEE Staff, 2021-09 The IEEE Conference Series on Business Informatics is the leading international forum for state of the art research in Business Informatics The 22nd IEEE CBI 2020, held in the city of Antwerp, calls for submissions in the multidisciplinary field of Business Informatics, and welcomes a multitude of theoretical and practical perspectives and mind sets on today s challenges of the digital transformation |
| applying artificial intelligence to project management: Artificial Intelligence for Managers Malay A. Upadhyay, 2020-09-17 Understand how to adopt and implement AI in your organization Key Features _ 7 Principles of an AI Journey _ The TUSCANE Approach to Become Data Ready _ The FAB-4 Model to Choose the Right AI Solution _ Major AI Techniques & their Applications: - CART & Ensemble Learning - Clustering, Association Rules & Search - Reinforcement Learning - Natural Language Processing - Image Recognition Description Most AI initiatives in organizations fail today not because of a lack of good AI solutions, but because of a lack of understanding of AI among its end users, decision makers and investors. Today, organizations need managers who can leverage AI to solve business problems and provide a competitive advantage. This book is designed to enable you to fill that need, and create an edge for your career. The chapters offer unique managerial frameworks to guide an organization's AI journey. The first section looks at what AI is; and how you can prepare for it, decide when to use it, and avoid pitfalls on the way. The second section dives into the different AI techniques and shows you where to apply them in business. The final section then prepares you from a strategic AI leadership perspective to lead the future of organizations. By the end of the book, you will be ready to offer any organization the capability to use AI successfully and responsibly - a need that is fast becoming a necessity. What will you learn _ Understand the major AI techniques & how they are used in business. _ Determine which AI technique(s) can solve your business problem. _ Decide whether to build or buy an AI solution. _ Estimate the financial value of an AI solution or company. _ Frame a robust policy to guide the responsible use of AI. Who this book is for This book is for Executives, Managers and Students on both Business and Technical teams who would like to use Artificial Intelligence effectively to solve business problems or get an edge in their careers. Table of Contents 1.Preface 2.Acknowledgement 3.About the Author 4.Section 1: Beginning an AI Journey a. AI Fundamentals b. 7 Principles of an AI Journey c. Getting Ready to Use AI 5.Section 2: Choosing the Right AI Techniques a. Inside the AI Laboratory b. How AI Predicts Values & Categories c. How AI Understands and Predicts Behaviors & Scenarios d. How AI Communicates & Learns from Mistakes e. How AI Starts to Think Like Humans 6.Section 3: Using AI Successfully & Responsibly a. AI Adoption & Valuation b. AI Strategy, Policy & Risk Management 7.Epilogue |
| applying artificial intelligence to project management: Artificial Intelligence in Healthcare Adam Bohr, Kaveh Memarzadeh, 2020-06-21 Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data |
| applying artificial intelligence to project management: Artificial Intelligence in Practice Bernard Marr, 2019-04-15 Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce. |
| applying artificial intelligence to project management: Applied Artificial Intelligence Mariya Yao, Adelyn Zhou, Marlene Jia, 2018-04-30 This bestselling book gives business leaders and executives a foundational education on how to leverage artificial intelligence and machine learning solutions to deliver ROI for your business. |
| applying artificial intelligence to project management: Artificial Intelligence in Project Management and Making Decisions Pedro Y. Piñero Pérez, Rafael E. Bello Pérez, Janusz Kacprzyk, 2022-04-07 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. |
| applying artificial intelligence to project management: Artificial Intelligence Harvard Business Review, 2019 Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business. |
| applying artificial intelligence to project management: Artificial Intelligence Design and Solution for Risk and Security Archie Addo, Srini Centhala, Muthu Shanmugam, 2020-03-13 Artificial Intelligence (AI) Design and Solutions for Risk and Security targets readers to understand, learn, define problems, and architect AI projects. Starting from current business architectures and business processes to futuristic architectures. Introduction to data analytics and life cycle includes data discovery, data preparation, data processing steps, model building, and operationalization are explained in detail. The authors examine the AI and ML algorithms in detail, which enables the readers to choose appropriate algorithms during designing solutions. Functional domains and industrial domains are also explained in detail. The takeaways are learning and applying designs and solutions to AI projects with risk and security implementation and knowledge about futuristic AI in five to ten years. |
| applying artificial intelligence to project management: Easy in Theory, Difficult in Practice Kiron D. Bondale, 2021-01-15 Strategic change occurs through the successful execution of projects. This is much easier said than done! There are hundreds of references covering the concepts underlying project management. But since each project is unique, project managers frequently learn more through the school of hard knocks than they do from theory. Whether you are new to the field or a senior practitioner, the lessons in this book will provide you with pragmatic, practice-based insights into project leadership. |
| applying artificial intelligence to project management: AI and the Project Manager Peter Taylor, 2021-10-27 Enabling project managers to adapt to the new technology of artificial intelligence, this first comprehensive book on the topic discusses how AI will reinvent the project world and allow project managers to focus on people. Studies show that by 2030, 80 percent of project management tasks, such as data collection, reporting, and predictive analysis, will be carried out by AI in a consistent and efficient manner. This book sets out to explore what this will mean for project managers around the world and equips them to embrace this technological advantage for greater project success. Filled with insights and examples from tech providers and project experts, this book is an invaluable resource for PMO leaders, change executives, project managers, programme managers, and portfolio managers. Anyone who is part of the global community of change and project leadership needs to accept and understand the fast- approaching AI technology, and this book shows how to use it to their advantage. |
| applying artificial intelligence to project management: 2021 International Conference of Women in Data Science at Taif University (WiDSTaif ) IEEE Staff, 2021-03-30 Data Science and its applications |
| applying artificial intelligence to project management: AI & Project Management For Dummies Oliver Yarbrough, 2022-03-02 Make AI a little less alien The power of technology driven by artificial intelligence is creeping into the world of business. Now is not the time to sit back and watch how this new tech changes the world. Professional project managers especially can benefit from using AI to plan, initiatiate, and manage projects in a more informed and efficient manner. This book guides people who know project management through bringing artificial intelligence into their toolbox. Discover how to build an AI-powered project model, put it in action, and become a leader with this new technology. Inside... Getting to know what AI can do Setting expectations around AI Bringing AI pros into your management team Creating actionable plans with AI Applying AI to key project management steps Creating an AI-based project model Knowing when to put AI aside |
| applying artificial intelligence to project management: Digital Transformation of the Design, Construction and Management Processes of the Built Environment Bruno Daniotti, Marco Gianinetto, Stefano Della Torre, 2019-12-30 This open access book focuses on the development of methods, interoperable and integrated ICT tools, and survey techniques for optimal management of the building process. The construction sector is facing an increasing demand for major innovations in terms of digital dematerialization and technologies such as the Internet of Things, big data, advanced manufacturing, robotics, 3D printing, blockchain technologies and artificial intelligence. The demand for simplification and transparency in information management and for the rationalization and optimization of very fragmented and splintered processes is a key driver for digitization. The book describes the contribution of the ABC Department of the Polytechnic University of Milan (Politecnico di Milano) to R&D activities regarding methods and ICT tools for the interoperable management of the different phases of the building process, including design, construction, and management. Informative case studies complement the theoretical discussion. The book will be of interest to all stakeholders in the building process – owners, designers, constructors, and faculty managers – as well as the research sector. |
| applying artificial intelligence to project management: Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0 D. Jude Hemanth, |
| applying artificial intelligence to project management: Artificial Intelligence for Business Leaders Ajit Jha, 2020-07-23 ◆◆ Embrace artificial intelligence or be replaced by it. ◆◆ AI is a new electricity. Andrew Ng ✓Have you ever thought that if AI is the new electricity, why does it not quickly inspire Managers/Leaders/C-Suites? ✓If business leaders do not act, they must be prepared to lag behind competitors who adopt new technologies. ✓Managers/Leaders/C-Suites and others who are willing to feel the spark of AI, should learn and understand AI immediately to know what AI can do and what it cannot. ✓Did you know that AI is changing our world faster than we think? Artificial intelligence will affect all areas of life in ways we cannot even predict, whether we like it or not. According to research done by PricewaterhouseCoopers (PwC), by 2030, artificial intelligence can contribute up to US$15.7 trillion to the global economy, so the opportunities for implementing and learning AI are huge. ⚠ Companies that do not use AI will soon become obsolete. From making faster and better decisions to automating rote memorization to enabling robots to respond to emotions, artificial intelligence and machine learning have been reshaping business and society. ⚠ Not investing in the organizational and technical requirements of adopting AI may mean that they are far behind and unable to compete in the future. ✓ Business is changing. Will you adapt or fall behind? Accelerate and deepen your understanding of the themes that shape the company's future. ✓ This book is suitable for business executives, business managers, business leaders, senior managers, technical leaders, students, and many people who want to understand artificial intelligence. ✓ It will take you to learn the concepts of machine learning, artificial intelligence and deep learning, more and how to use them to influence your business. ✓✓ Even if you do not have technical knowledge, you will understand AI, ML and its implementation. ◆◆ Key features ◆◆ nbsp; ★ A must book for the business leader to understand AI and its application ★ Understand strategy behind AI implementation ★ Zero coding with simple explanation ★ A straightforward explanation for important algorithms like TensorFlow, NLP, K-Means, Support Vector Machine, Supervised Learning, Unsupervised Learning, Ensemble Techniques, Regression, Clustering, and many more ★★ Grab your copy of this book to build artificial intelligence for business and stand to the best of times! |
| applying artificial intelligence to project management: Agile Practice Guide , 2017-09-06 Agile Practice Guide – First Edition has been developed as a resource to understand, evaluate, and use agile and hybrid agile approaches. This practice guide provides guidance on when, where, and how to apply agile approaches and provides practical tools for practitioners and organizations wanting to increase agility. This practice guide is aligned with other PMI standards, including A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, and was developed as the result of collaboration between the Project Management Institute and the Agile Alliance. |
| applying artificial intelligence to project management: Software Extension to the PMBOK Guide, Fifth Edition Project Management Institute, 2013 Designed to be used in tandem with the latest edition of the PMBOK(R) Guide, this comprehensive volume closely follows the PMBOK(R) Guide's approach to style, structure and naming, while providing readers a balanced view of methods, tools, and techniques for managing software projects across the life cycle continuum from highly predictive life cycles to highly adaptive life cycles. Software Extension To the PMBOK(R) Guide Fifth Edition provides readers with knowledge and practices that will not only improve their efficiency and effectiveness but that of their management teams and project members as well. |
| applying artificial intelligence to project management: Harvard Business Review Project Management Handbook Antonio Nieto-Rodriguez, 2021-10-19 The one primer you need to launch, lead, and sponsor successful projects. We're now living in the project economy. The number of projects initiated in all sectors has skyrocketed, and project management skills have become essential for every leader and manager. Still, project failure rates remain extremely high. Why? Leaders oversee too many projects and have too little visibility into them. Project managers struggle to translate their hands-on, technical knowledge up to senior management. The result? Worthy projects are starved of time and resources and fail to deliver benefits, while too much investment goes into the wrong projects. To compete in the project economy, you need to close this gap. The HBR Project Management Handbook shows you how. In this comprehensive guide, project management expert Antonio Nieto-Rodriguez presents a new and simple framework that will increase any project's likelihood of success. Packed with case studies from many industries worldwide, it will teach you how to manage your organization's projects, strategic programs, and agile initiatives more effectively and push the best ones ahead to completion. Timeless yet forward-looking, this book will help you win in the project-driven world. In the HBR Project Management Handbook you'll find: Everything you need to know about project management in practical, nontechnical language A definitive taxonomy of project types, from product launches to digital transformations to megaprojects A road map for becoming an effective project leader and executive sponsor A new, simple, and universal project framework, the Project Canvas, that breaks down any project into essential building blocks that can be easily understood by all project stakeholders Original concepts and exclusive case studies from public- and private-sector organizations worldwide You'll learn: A common language for project managers and executives to run successful projects across your organization When to use agile, traditional, or hybrid methods in your projects The twelve principles of successful projects, including purpose, agility, and a focus on outcomes Techniques for selecting and advancing the best projects and managing a strategic and balanced project portfolio How today's projects will help address some of the most pressing global trends, including automation, sustainability, diversity, and crisis management Why project management needed to be reinvented and what the future holds HBR Handbooks provide ambitious professionals with the frameworks, advice, and tools they need to excel in their careers. With step-by-step guidance, time-honed best practices, and real-life stories, each comprehensive volume helps you to stand out from the pack—whatever your role. |
| applying artificial intelligence to project management: Applied Artificial Intelligence Reporter , 1987 |
| applying artificial intelligence to project management: Managing Change in Organizations Project Management Institute, 2013-08-01 Managing Change in Organizations: A Practice Guide is unique in that it integrates two traditionally disparate world views on managing change: organizational development/human resources and portfolio/program/project management. By bringing these together, professionals from both worlds can use project management approaches to effectively create and manage change. This practice guide begins by providing the reader with a framework for creating organizational agility and judging change readiness. |
| applying artificial intelligence to project management: New Frontiers in Applied Artificial Intelligence Leszek Borzemski, Adam Grzech, Moonis Ali, 2008-06-17 The 21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA-AIE 2008) held in Wroclaw, Poland was an international scientific forum for researchers in the field of applied artificial intelligence. The presentations of the invited speakers and the authors focused on developing and employing methods and systems to solve real-life problems in all applied intelligence areas. The IEA-AIE conference series, chaired by Moonis Ali, has a very long tradition, and it is the first time it was hosted in Poland. We received 302 papers from 52 countries. Each paper was sent to at least three Program Committee members for review. Although the general quality of the submissions was very high, only 90 best papers were selected for oral presentation and publication in the LNAI proceedings. The papers in the proceedings cover the following topics: computer vision, fuzzy system applications, robot, manufacturing, data mining and knowledge discovery, neural network, machine learning, natural language processing, Internet application, e-learning, heuristic search, application systems, agent-based system, evolutionary and genetic algorithms, knowledge management, and other applications. These papers highlight new trends and frontiers of applied artificial intelligence and show how new research could lead to new and innovative applications. We hope you will find these works useful and inspiring for your own research. We would like to express our sincere thanks to the Program Committee members and all the reviewers for their hard work, which helped us to select the highest quality papers for the conference. |
| applying artificial intelligence to project management: Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance El Bachir Boukherouaa, Mr. Ghiath Shabsigh, Khaled AlAjmi, Jose Deodoro, Aquiles Farias, Ebru S Iskender, Mr. Alin T Mirestean, Rangachary Ravikumar, 2021-10-22 This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight. |
| applying artificial intelligence to project management: AI-Driven Project Management Kristian Bainey, 2024-04-02 Accelerate your next project with artificial intelligence and ChatGPT In AI-Driven Project Management: Harnessing the Power of Artificial Intelligence and ChatGPT to Achieve Peak Productivity and Success, veteran IT and project management advisor Kristian Bainey delivers an insightful collection of strategies for automating the administration and management of projects. In the book, the author focuses on four key areas where project leaders can achieve improved results with AI's data-centric capabilities: minimizing surprises, minimizing bias, increasing standards, and accelerating decision making. You'll also find: Primers on the role of AI and ChatGPT in Agile, Hybrid, and Predictive approaches to project management How to accurately forecast a project with ChatGPT Techniques for crafting impactful AI strategy using AI project management principles Perfect for managers, executives, and business leaders everywhere, AI-Driven Project Management is also a must-read for project management professionals, tech professionals and enthusiasts, and anyone else interested in the intersection of artificial intelligence, machine learning, and project management. |
| applying artificial intelligence to project management: Integrated IT Project Management Kenneth R. Bainey, 2004 Annotation Integrated IT Project Management: A Model-Centric Approach utilizes practical applications of real-world policies, roles and responsibilities, templates, process flows, and checklists for each of these three component processes. It shows how such processes ensure optimum utilization of people, process, and technology resources during the management and delivery of IT projects. The book provides insight into the key components of the Rational Unified Process from IBM Rational Corporation and the Project Management Body of knowledge PMBOK from the Project Management Institute (PMI) illustrating how they work together and align based on industry processing standards.--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved |
| applying artificial intelligence to project management: Optimising the Software Development Process with Artificial Intelligence José Raúl Romero, Inmaculada Medina-Bulo, Francisco Chicano, 2023-07-19 This book offers a practical introduction to the use of artificial intelligence (AI) techniques to improve and optimise the various phases of the software development process, from the initial project planning to the latest deployment. All chapters were written by leading experts in the field and include practical and reproducible examples. Following the introductory chapter, Chapters 2-9 respectively apply AI techniques to the classic phases of the software development process: project management, requirement engineering, analysis and design, coding, cloud deployment, unit and system testing, and maintenance. Subsequently, Chapters 10 and 11 provide foundational tutorials on the AI techniques used in the preceding chapters: metaheuristics and machine learning. Given its scope and focus, the book represents a valuable resource for researchers, practitioners and students with a basic grasp of software engineering. |
| applying artificial intelligence to project management: Intelligent Systems and Applications Kohei Arai, 2024-02-10 The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings. This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence. |
| applying artificial intelligence to project management: Knowledge Processing and Applied Artificial Intelligence Soumitra Dutta, 2014-05-16 Knowledge Processing and Applied Artificial Intelligence discusses the business potential of knowledge processing and examines the aspects of applied artificial intelligence technology. The book is comprised of nine chapters that are organized into five parts. The text first covers knowledge processing and applied artificial intelligence, and then proceeds to tackling the techniques for acquiring, representing, and reasoning with knowledge. The next part deals with the process of creating and implementing strategically advantageous knowledge-based system applications. The fourth part covers intelligent interfaces, while the last part details alternative approaches to knowledge processing. The book will be of great use to students and professionals of computer or business related disciplines. |
| applying artificial intelligence to project management: Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering Nenad Filipovic, 2023-04-04 The book is covering knowledge and results in theory, methodology, and applications of artificial intelligence and machine learning in academia and industry. Nowadays, artificial intelligence has been used in every company where intelligence elements are embedded inside sensors, devices, machines, computers and networks. The chapters in this book integrated approach toward global exchange of information on technological advances, scientific innovations, and the effectiveness of various regulatory programs toward AI application in medicine, biology, chemistry, financial, games, law, and engineering. Readers can find AI application in industrial workplace safety, manufacturing systems, medical imaging, biomedical engineering application, different computational paradigm, COVID-19, liver tracking, drug delivery system, and cost-effectiveness analysis. Real examples from academia and industry give beyond state of the art for application of AI and ML in different areas. These chapters are extended papers from the First Serbian International Conference on Applied Artificial Intelligence (SICAAI), which was held in Kragujevac, Serbia, on May 19–20, 2022. |
| applying artificial intelligence to project management: Proceedings of the Second International Conference on Advances in Computing Research (ACR’24) Kevin Daimi, |
| applying artificial intelligence to project management: Data Analytics in Project Management Seweryn Spalek, J. Davidson Frame, Yanping Chen, Carl Pritchard, Alfonso Bucero, Werner Meyer, Ryan Legard, Michael Bragen, Klas Skogmar, Deanne Larson, Bert Brijs, 2019-01-01 Data Analytics in Project Management. Data analytics plays a crucial role in business analytics. Without a rigid approach to analyzing data, there is no way to glean insights from it. Business analytics ensures the expected value of change while that change is implemented by projects in the business environment. Due to the significant increase in the number of projects and the amount of data associated with them, it is crucial to understand the areas in which data analytics can be applied in project management. This book addresses data analytics in relation to key areas, approaches, and methods in project management. It examines: • Risk management • The role of the project management office (PMO) • Planning and resource management • Project portfolio management • Earned value method (EVM) • Big Data • Software support • Data mining • Decision-making • Agile project management Data analytics in project management is of increasing importance and extremely challenging. There is rapid multiplication of data volumes, and, at the same time, the structure of the data is more complex. Digging through exabytes and zettabytes of data is a technological challenge in and of itself. How project management creates value through data analytics is crucial. Data Analytics in Project Management addresses the most common issues of applying data analytics in project management. The book supports theory with numerous examples and case studies and is a resource for academics and practitioners alike. It is a thought-provoking examination of data analytics applications that is valuable for projects today and those in the future. |
| applying artificial intelligence to project management: Artificial Intelligence in Drug Discovery Nathan Brown, 2020-11-04 Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia. |
| applying artificial intelligence to project management: The Accidental Project Manager Patricia Ensworth, 2001-08-09 Why do so many software projects fail? The reality is that many of these projects are led by programmers or developers thrown into the role of project manager without the necessary skills or training to see a project through successfully. Patricia Ensworth has written a hands-on survival guide designed to rescue the accidental project manager and help them to quickly ramp up on all key areas involved in software project management. This book provides a no-nonsense, jargon-free approach to getting the job done. With the help of useful templates, checklists, and sample forms, as well as pointers to essential resources, Ensworth gives concise, easy-to-understand advice on everything needed to hit the ground running--including phases of project development, role assignment in the development team, the tools of the trade, and criteria for success. |
| applying artificial intelligence to project management: Handbook of Research on Emerging Technologies for Effective Project Management George Leal Jamil, Fernanda Ribeiro, Armando Malheiro Da Silva, 2019-09-13 This book explore the relationship between project management principles and methods under the phenomena of emerging technologies introduction-- |
| applying artificial intelligence to project management: Materials Discovery and Design Turab Lookman, Stephan Eidenbenz, Frank Alexander, Cris Barnes, 2018-09-22 This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications. The challenging open questions as well as future directions in the application of data science to materials problems are sketched. Computational and experimental facilities today generate vast amounts of data at an unprecedented rate. The book gives guidance to discover new knowledge that enables materials innovation to address grand challenges in energy, environment and security, the clearer link needed between the data from these facilities and the theory and underlying science. The role of inference and optimization methods in distilling the data and constraining predictions using insights and results from theory is key to achieving the desired goals of real time analysis and feedback. Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating statistical and information sciences with materials science, which is increasingly dependent on high throughput and large scale computational and experimental data gathering efforts. This is especially the case as we enter a new era of big data in materials science with the planning of future experimental facilities such as the Linac Coherent Light Source at Stanford (LCLS-II), the European X-ray Free Electron Laser (EXFEL) and MaRIE (Matter Radiation in Extremes), the signature concept facility from Los Alamos National Laboratory. These facilities are expected to generate hundreds of terabytes to several petabytes of in situ spatially and temporally resolved data per sample. The questions that then arise include how we can learn from the data to accelerate the processing and analysis of reconstructed microstructure, rapidly map spatially resolved properties from high throughput data, devise diagnostics for pattern detection, and guide experiments towards desired targeted properties. The authors are an interdisciplinary group of leading experts who bring the excitement of the nascent and rapidly emerging field of materials informatics to the reader. |
Applying Artificial Intelligence to Project Management
Nov 13, 2019 · Learn why projects fail and how using artificial intelligence for project management improves project success rates. Read project management success stories in one of the best …
How AI Will Transform Project Management - Harvard Business Review
Feb 2, 2023 · Researchers, startups, and innovating organizations, are beginning to apply AI, machine learning, and other advanced technologies to project management, and by 2030 the …
Artificial Intelligence in Project Management | PMI
Access foundational knowledge and practical applications to incorporating AI in day-to-day project management. This guide helps PMOs, TMOs, and project managers drive innovation by equipping …
Applying Artificial Intelligence to Project Management
Learn why projects fail and how using artificial intelligence for project management improves project success rates. The book features project management success stories and demonstrates …
Artificial Intelligence in Project Management
Jun 6, 2023 · In this article, we will explore how AI is used in project management, the advantages it brings, the aspects of project management that will be disrupted, and how project managers can …
Applying Artificial Intelligence techniques in Project Management
Mar 27, 2020 · The purpose of this research is to create a model like Earned Value Management (EVM) model in Project Management for better forecasting.
Using Artificial Intelligence for Project Management
Artificial intelligence can make planning and scheduling in project management more efficient and more accurate. Project managers can use AI algorithms to analyze historical project data and …
AI in Project Management: Key Benefits, Tools, and Trends
Oct 31, 2024 · AI in project management involves applying artificial intelligence to streamline tasks, enhance decision-making, and boost overall efficiency and productivity.
Using AI in Project Management: Tools, Benefits, and Future Trends
May 23, 2025 · According to Zippia, over 426,299 people work as project managers in the United States in various industries, including construction, finance, health care, manufacturing, retail, …
Applying Artificial Intelligence for Project Management …
A recent study indicated that only approximately 20% of Project Managers actively invoke the use of GenAI in their day-to-day work. If you’re not in the 20%, it’s time to start! The tools that are …
Applying Artificial Intelligence to Project Management
Nov 13, 2019 · Learn why projects fail and how using artificial intelligence for project management improves project success rates. Read project management success stories in one of the best …
How AI Will Transform Project Management - Harvard Business Review
Feb 2, 2023 · Researchers, startups, and innovating organizations, are beginning to apply AI, machine learning, and other advanced technologies to project management, and by 2030 the …
Artificial Intelligence in Project Management | PMI
Access foundational knowledge and practical applications to incorporating AI in day-to-day project management. This guide helps PMOs, TMOs, and project managers drive innovation by …
Applying Artificial Intelligence to Project Management
Learn why projects fail and how using artificial intelligence for project management improves project success rates. The book features project management success stories and …
Artificial Intelligence in Project Management
Jun 6, 2023 · In this article, we will explore how AI is used in project management, the advantages it brings, the aspects of project management that will be disrupted, and how …
Applying Artificial Intelligence techniques in Project Management
Mar 27, 2020 · The purpose of this research is to create a model like Earned Value Management (EVM) model in Project Management for better forecasting.
Using Artificial Intelligence for Project Management
Artificial intelligence can make planning and scheduling in project management more efficient and more accurate. Project managers can use AI algorithms to analyze historical project data and …
AI in Project Management: Key Benefits, Tools, and Trends
Oct 31, 2024 · AI in project management involves applying artificial intelligence to streamline tasks, enhance decision-making, and boost overall efficiency and productivity.
Using AI in Project Management: Tools, Benefits, and Future Trends
May 23, 2025 · According to Zippia, over 426,299 people work as project managers in the United States in various industries, including construction, finance, health care, manufacturing, retail, …
Applying Artificial Intelligence for Project Management …
A recent study indicated that only approximately 20% of Project Managers actively invoke the use of GenAI in their day-to-day work. If you’re not in the 20%, it’s time to start! The tools that are …
