| cognitive project management for ai: 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. |
| cognitive project management for ai: 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. |
| cognitive project management for ai: 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. |
| cognitive project management for ai: Artificial Intelligence in Project Management: AI Tools, Use Cases, and Prompts for Driving Project Efficiency, Innovation and Success EMANUELA GIANGREGORIO, 2024-06-02 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. |
| cognitive project management for ai: Artificial Intelligence in HCI Helmut Degen, Stavroula Ntoa, 2023-07-08 This double volume book set constitutes the refereed proceedings of 4th International Conference, AI-HCI 2023, held as part of the 25th International Conference, HCI International 2023, which was held virtually in Copenhagen, Denmark in July 2023. The total of 1578 papers and 396 posters included in the HCII 2023 proceedings was carefully reviewed and selected from 7472 submissions. The first volume focuses on topics related to Human-Centered Artificial Intelligence, explainability, transparency and trustworthiness, ethics and fairness, as well as AI-supported user experience design. The second volume focuses on topics related to AI for language, text, and speech-related tasks, human-AI collaboration, AI for decision-support and perception analysis, and innovations in AI-enabled systems. |
| cognitive project management for ai: 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 |
| cognitive project management for ai: Artificial Intelligence for Asset Management and Investment Al Naqvi, 2021-02-09 Make AI technology the backbone of your organization to compete in the Fintech era The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform asset management and investment banking, yet its current application within the financial sector is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation finance. Artificial Intelligence for Asset Management and Investment provides a strategic viewpoint on how AI can be comprehensively integrated within investment finance, leading to evolved performance in compliance, management, customer service, and beyond. No other book on the market takes such a wide-ranging approach to using AI in asset management. With this guide, you’ll be able to build an asset management firm from the ground up—or revolutionize your existing firm—using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for financial firms. With better AI comes better results. If you aren’t integrating AI in the strategic DNA of your firm, you’re at risk of being left behind. See how artificial intelligence can form the cornerstone of an integrated, strategic asset management framework Learn how to build AI into your organization to remain competitive in the world of Fintech Go beyond siloed AI implementations to reap even greater benefits Understand and overcome the governance and leadership challenges inherent in AI strategy Until now, it has been prohibitively difficult to map the high-tech world of AI onto complex and ever-changing financial markets. Artificial Intelligence for Asset Management and Investment makes this difficulty a thing of the past, providing you with a professional and accessible framework for setting up and running artificial intelligence in your financial operations. |
| cognitive project management for ai: 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. |
| cognitive project management for ai: Artificial Intelligence and Project Management Tadeusz A. Grzeszczyk, 2024-05-01 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. |
| cognitive project management for ai: Proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics 2022 Aboul Ella Hassanien, Václav Snášel, Mincong Tang, Tien-Wen Sung, Kuo-Chi Chang, 2022-11-17 This proceedings book constitutes the refereed proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics (AISI 2021), which took place in Cairo, Egypt, during November 20–22, 2022, and is an international interdisciplinary conference that presents a spectrum of scientific research on all aspects of informatics and intelligent systems, technologies, and applications. |
| cognitive project management for ai: Revolutionizing Project Management Avery Harrison, 2023-11-24 Revolutionizing Project Management: Harnessing the Power of Artificial Intelligence is a cutting-edge guide designed to help project managers, professionals, and enthusiasts navigate the rapidly evolving landscape of AI-driven project management. As the world becomes increasingly interconnected and technology continues to advance at an unprecedented pace, artificial intelligence has emerged as a game-changing force capable of transforming project management practices and empowering professionals to achieve greater success. In this comprehensive book, you'll discover the potential of AI to revolutionize project management across various domains, from intelligent project scoping and resource allocation to AI-powered risk analysis and mitigation. We start by laying a solid foundation, introducing you to the concepts of artificial intelligence, its history, and its relevance to project management. As we progress through the chapters, we'll uncover the myriad ways AI can optimize project management processes, enhance team communication, and drive better decision-making within project teams. Key topics covered in the book include: The fundamental concepts of artificial intelligence, its history, and its relevance to project management. The evolution of project management, traditional vs. modern approaches, and the role of technology in shaping the discipline. The intersection of AI and project management, exploring opportunities, challenges, and the impact of AI on project management functions. AI-driven techniques for intelligent project scoping, optimal resource allocation, and risk analysis and mitigation. The critical role AI plays in enhancing team communication, collaboration, and conflict resolution, including AI-assisted meeting scheduling and management, natural language processing, and sentiment analysis. The ethical considerations surrounding AI in project management, including data privacy, security, and the potential implications of AI-driven decision-making on human employment. Practical guidance on how to integrate AI into your project management practices, identifying the essential steps for successful AI implementation and offering real-life case studies and examples to illustrate the transformative power of AI in project management. With its in-depth exploration of AI's transformative potential and practical guidance on integrating AI into project management practices, Revolutionizing Project Management: Harnessing the Power of Artificial Intelligence is an indispensable resource for project managers and professionals seeking to stay ahead of the curve in an increasingly competitive and technologically advanced world. Whether you are a seasoned project manager or just beginning your journey in the world of project management, this book aims to equip you with the knowledge and insights necessary to harness the full potential of AI and revolutionize the way you manage projects. Don't miss the opportunity to explore how AI can elevate your project management skills and deliver exceptional results in this fast-paced, technology-driven era. Order your copy today and embark on this exciting journey into the future of project management. |
| cognitive project management for ai: AI in Agile Projects: The Future of Project Management Thomas S. Fairfax, 2024-08-13 In a rapidly evolving world where speed, flexibility, and innovation are crucial to success, the integration of Artificial Intelligence (AI) is transforming how projects are managed. AI in Agile Projects: The Future of Project Management is an essential guide for anyone looking to shape the future of project management. This book explores how AI is revolutionizing agile methodologies, enabling organizations to operate more efficiently, accurately, and customer-centric. Through practical examples and in-depth analysis, you will discover how AI can be harnessed to elevate project planning, decision-making, and team communication. From automating repetitive tasks to enhancing predictive accuracy, Thomas S. Fairfax provides a comprehensive insight into the powerful synergy between AI and Agile. Whether you're an experienced project manager, a Scrum Master, or a technology enthusiast, this book equips you with the tools and knowledge to fully leverage AI in your agile projects and achieve lasting success. Get ready to rethink project management and shape the future of your projects with AI. |
| cognitive project management for ai: 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. |
| cognitive project management for ai: The AIoT Playbook Dirk Slama, 2022 |
| cognitive project management for ai: Artificial Intelligence for Audit, Forensic Accounting, and Valuation Al Naqvi, 2020-08-25 Strategically integrate AI into your organization to compete in the tech era The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform accounting and auditing professions, yet its current application within these areas is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation accounting. Artificial Intelligence for Audit, Forensic Accounting, and Valuation provides a strategic viewpoint on how AI can be comprehensively integrated within audit management, leading to better automated models, forensic accounting, and beyond. No other book on the market takes such a wide-ranging approach to using AI in audit and accounting. With this guide, you’ll be able to build an innovative, automated accounting strategy, using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for audit and accounting firms. With better AI comes better results. If you aren’t integrating AI and automation in the strategic DNA of your business, you’re at risk of being left behind. See how artificial intelligence can form the cornerstone of integrated, automated audit and accounting services Learn how to build AI into your organization to remain competitive in the era of automation Go beyond siloed AI implementations to modernize and deliver results across the organization Understand and overcome the governance and leadership challenges inherent in AI strategy Accounting and auditing firms need a comprehensive framework for intelligent, automation-centric modernization. Artificial Intelligence for Audit, Forensic Accounting, and Valuation delivers just that—a plan to evolve legacy firms by building firmwide AI capabilities. |
| cognitive project management for ai: Project Management Best Practices Harold Kerzner, 2023-10-24 PROJECT MANAGEMENT BEST PRACTICES Best practices from 50+ world-class organizations to improve project management, add business value, and increase benefit realization Featuring senior executives and project managers from more than 50 world-class companies offering their best practices for successful project management implementation, the newly revised Fifth Edition of Project Management Best Practices contains updates throughout to reflect the latest project management best practices that add value and efficiency to every level of an organization. The text offers guidance on a wide range of project management best practices, with new coverage of the impact of COVID-19, the growth of nontraditional projects, cultural and emotional intelligence, and much more. Project Management Best Practices features insights and best practices from world class organizations like Siemens, Deloitte, GEA, Heineken, Sony, Dubai Customs, Philips Medical, IBM, Boeing, Comau, and Hitachi. Case studies from many of these organizations are included in each chapter to practically illustrate various concepts. This Fifth Edition includes updated information from companies covered in the earlier books along with contributions from new companies. Project Management Best Practices includes information on: Project management best practices throughout modern history and how the best of intentions can quickly become migraines Responding to changing customer requirements, what to do when the wrong culture is in place, and handling the internal politics of any project Strategic planning for project management, roadblocks to excellence, and seven fallacies that delay project management maturity Recognizing the need for project management methodology development and where/how artificial intelligence (AI) slots into the project management field Following the same successful format as its predecessor in terms of content, the Fifth Edition of Project Management Best Practices is an essential resource for senior level and middle level corporate managers, project and team managers, engineers, project team members, business consultants, and students in related programs of study. |
| cognitive project management for ai: Project Management Best Practices: Achieving Global Excellence Harold Kerzner, 2018-03-20 The comprehensive guide to project management implementation, updated with the latest in the field Project management has spread beyond the IT world to become a critical part of business in every sphere; built on efficiency, analysis, and codified practice, professional project management leads to the sort of reproducible results and reliable processes that make a business successful. Project Management Best Practices provides implementation guidance for every phase of a project, based on the real-world methodologies from leading companies around the globe. Updated to align with the industry’s latest best practices, this new Fourth Edition includes new discussion on Agile and Scrum, tradeoffs and constraints, Portfolio PMO tools, and much more. Get up-to-date information on the latest best practices that add value at every level of an organization Gain insight from more than 50 project managers at world-class organizations including Airbus, Heineken, RTA, IBM, Hewlett-Packard, Sony, Cisco, Nokia, and more Delve deeper into implementation guidance for Agile, Scrum, and Six Sigma Explore more efficient methodologies, training, measurement, and metrics that boost organization-wide performance Adopt new approaches to culture and behavioral excellence, including conflict resolution, situational leadership, proactive management, staffing, and more Ideal for both college and corporate training, this book is accompanied by an Instructor’s Manual and PowerPoint lecture slides that bring project management concepts right into the classroom. As the field continues to grow and evolve, it becomes increasingly important to stay current with new and established practices; this book provides comprehensive guidance on every aspect of project management, with invaluable real-world insight from leaders in the field. |
| cognitive project management for ai: Innovation Project Management Harold Kerzner, 2022-11-21 INNOVATION PROJECT MANAGEMENT ACTIONABLE TOOLS, PROCESSES, AND METRICS FOR SUCCESSFULLY MANAGING INNOVATION PROJECTS, WITH EXCLUSIVE INSIGHTS FROM WORLD-CLASS ORGANIZATIONS AROUND THE WORLD The newly revised Second Edition of Innovation Project Management offers students and practicing professionals the tools, processes, and metrics needed to successfully manage innovation projects, providing value-based innovation project management metrics as well as guidance for how to establish a metrics management program. The highly qualified author analyzes innovation from all sides; through this approach, Innovation Project Management breaks down traditional project management methods and explains why and how innovation projects should be managed differently. The Second Edition includes exclusive insights from world-class organizations such as IBM, Hitachi, Repsol, Philips, Deloitte, IdeaScale, KAUST, and more. It includes six all new case studies, featuring a dive into brand management innovation from Lego. Each case study contains questions for discussion, and instructors have access to an Instructor’s Manual via the book’s companion website. Specific ideas discussed in Innovation Project Management include: Continuous versus discontinuous innovation, incremental versus radical innovation, understanding innovation differences, and incremental innovation versus new product development Identifying core competencies using SWOT analysis and nondisclosure agreements, secrecy agreements, and confidentiality agreements Implications and issues for project managers and innovation personnel, active listening, pitching the innovation, and cognitive biases Measuring intangible assets, customer/stakeholder impact on value metrics, customer value management programs, and the relationship between project management and value With its highly detailed and comprehensive coverage of the field, and with case studies from leading companies to show how concepts are applied in real-world situations, Innovation Project Management is a must-have title for practicing project managers, as well as students in project management, innovation, and entrepreneurship programs. |
| cognitive project management for ai: Artificial Intelligence in Practice Bernard Marr, 2019-05-28 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. |
| cognitive project management for ai: Progressive Decision-Making Tools and Applications in Project and Operation Management Mohammad Yazdi, |
| cognitive project management for ai: Organizational Cognition Theresa K. Lant, Zur Shapira, 2000-07-01 Organizational Cognition is a collection of chapters written by scholars from around the world. The editors outline the history of two approaches to the study of cognition in organizations, the computational approach and the interpretive approach. The chapters represent some of the most cutting-edge research on organizational cognition, covering research that spans many levels of analysis. Much of the work in the book demonstrates how computational and interpretive approaches can be combined in a way that provides greater insight into cognitive processes in and among organizations. The editors conclude by elaborating the likely boundary conditions of each approach and how they can be combined for a more complete understanding of cognition in organizations. |
| cognitive project management for ai: Agile Approaches for Successfully Managing and Executing Projects in the Fourth Industrial Revolution Bolat, Hür Bersam, Temur, Gül Tekin, 2019-03-15 Communication between man and machine is vital to completing projects in the current day and age. Without this constant connectiveness as we enter an era of big data, project completion will result in utter failure. Agile Approaches for Successfully Managing and Executing Projects in the Fourth Industrial Revolution addresses changes wrought by Industry 4.0 and its effects on project management as well as adaptations and adjustments that will need to be made within project life cycles and project risk management. Highlighting such topics as agile planning, cloud projects, and organization structure, it is designed for project managers, executive management, students, and academicians. |
| cognitive project management for ai: Software Project Management in a Changing World Günther Ruhe, Claes Wohlin, 2014-09-04 By bringing together various current directions, Software Project Management in a Changing World focuses on how people and organizations can make their processes more change-adaptive. The selected chapters closely correspond to the project management knowledge areas introduced by the Project Management Body of Knowledge, including its extension for managing software projects. The contributions are grouped into four parts, preceded by a general introduction. Part I “Fundamentals” provides in-depth insights into fundamental topics including resource allocation, cost estimation and risk management. Part II “Supporting Areas” presents recent experiences and results related to the management of quality systems, knowledge, product portfolios and global and virtual software teams. Part III “New Paradigms” details new and evolving software-development practices including agile, distributed and open and inner-source development. Finally, Part IV “Emerging Techniques” introduces search-based techniques, social media, software process simulation and the efficient use of empirical data and their effects on software-management practices. This book will attract readers from both academia and practice with its excellent balance between new findings and experience of their usage in new contexts. Whenever appropriate, the presentation is based on evidence from empirical evaluation of the proposed approaches. For researchers and graduate students, it presents some of the latest methods and techniques to accommodate new challenges facing the discipline. For professionals, it serves as a source of inspiration for refining their project-management skills in new areas. |
| cognitive project management for ai: Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration Fields, Ziska, 2023-05-01 Creativity must be turned into innovation that adds value and leads to strategic action. Innovation is often associated with Silicon Valley, expensive research and development departments, and expensive commercialization that primarily benefits a small portion of the worlds population. A small portion of the worlds population working together to solve wicked green problems is not enough either. Green creativity and eco-innovation are necessary to help solve green problems by making products and services available and affordable to the masses. Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration focuses on the importance of green creativity, eco-innovation, and collaboration to create a more sustainable world. It builds on the available literature and joint expertise in the field of management while providing further research opportunities in this dynamic field. Covering topics such as eco-leadership, green marketing, and social responsibility communication, this premier reference source is a comprehensive and timely resource for government officials, decision makers, business leaders and executives, students and educators of higher education, librarians, researchers, and academicians. |
| cognitive project management for ai: Computational Intelligence in Engineering and Project Management Pedro Yobanis Piñero Pérez, |
| cognitive project management for ai: Autopoietic Knowledge Systems in Project-Based Companies K. Koskinen, 2010-10-14 This book gives an alternative observational scheme to better understand knowledge creation and learning in project-based companies. It builds upon emergent new ways of looking at projects which is important - as any discipline stays alive by reflection and re-framing ideas as they are challenged, argued and clarified. |
| cognitive project management for ai: 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. |
| cognitive project management for ai: Artificial Intelligence and International HRM Ashish Malik, Pawan Budhwar, 2023-05-22 This book offers an in-depth and recent account of the research in Artificial Intelligence (AI) technologies and how it is impacting and shaping the field of international human resource management (IHRM). Grounded in contemporary developments in the field of technological change and the Future of Work and the fourth industrial revolution (4IR), the book lays down a solid foundation by offering a comprehensive review of the field of AI and IHRM. It includes empirical research, including case studies of global MNEs and conceptual chapters focusing on the impact of AI on IHRM practices and therefore business-level outcomes of productivity, efficiency, and effectiveness through the adoption of AI-assisted HR applications. The chapters in this volume evaluate individual IHRM practices and study how they impact employee-level outcomes of job satisfaction, personalization, employee commitment and so on. Finally, the book concludes by identifying current gaps in the literature and offers directions for future research for scholars to develop and advance future research agendas in the field. This volume will be of great use to researchers, academics and students in the fields of business and management, especially those with a particular interest in new age technologies of operating business. The chapters in this book, except for Conclusion, were originally published as a special issue of The International Journal of Human Resource Management. |
| cognitive project management for ai: Project Management in the Digital Transformation Era Sergey Bushuyev, Ronggui Ding, Mladen Radujkovic, 2023-06-16 This book presents the proceedings of the 32nd World Congress of the International Project Management Association (IPMA). Digitalization is changing many fields of development and accelerating the global economic world. This challenge concerns project management as the driver of change. More than 1000 participants of the 32nd IPMA World Congress are an international community of the best experts and practitioners of project management. The Program Committee of the Congress includes more than 30 experts from Europe, Asia, America, and Australia, heads of large companies, and leading scientists and practitioners representing various areas of management, economics, and digital technology. The project management community discussed the challenges and prospects of the digital age, to find solutions to the problems that it poses to project management. The discussion took place in different formats – presentations, master classes, panel discussions, business games, and seminars that will be conducted by the world’s leading experts in the project management field. |
| cognitive project management for ai: The Future of Project Management Igor Vrečko, Brigita Gajšek, 2023-11-14 Modern project management is different from what it was ten years ago. New methods and tools have been developed, the number of projects and members in project teams has increased, professionalism in project management has generally increased, and projects have become highly complex. Parallel to this, artificial intelligence, automation, information and communication technology, human resources management, and many other areas are being developed, which will continue to impact project management in the future significantly. At the same time, new generations of young people are entering the labour market with different needs and expectations for project work. The authors of the book provide decision-makers, project workers, and students with an insight into the modern challenges of project management due to digitization, artificial intelligence and project economy. The book is based on knowledge of classic management principles but does not follow them blindly, arguing that modern project management is based on people, their values, and the intelligent use of methods, techniques, and emerging technologies. |
| cognitive project management for ai: AI Factory Ramin Karim, Diego Galar, Uday Kumar, 2023-05-24 Presents compendium of methodologies and technologies in industrial AI and digitalization Illustrates sensor to actuation approach showing complete cycle, that defines and differences AI and digitalization concept Covers a broad range of academic and industrial issues within the field of asset management Discusses impact of Industry 4.0 in other sectors Includes a dedicated chapter on real-time case studies |
| cognitive project management for ai: Handbook of Research on Project Management Strategies and Tools for Organizational Success Moreno-Monsalve, Nelson Antonio, Diez-Silva, H. Mauricio, Diaz-Piraquive, Flor Nancy, Perez-Uribe, Rafael Ignacio, 2020-01-17 Project management tools can be used as an alternative to improve and strengthen a company’s position in the market. However, the management of projects has been in constant transformation. Elements such as time, cost, and scope, on which it is based, have been complemented with other trends, such as the project team, change management, knowledge management, good negotiation practices, management of stakeholders, sustainability, etc. In order to improve the competitiveness of their company and increase earned value, managers must remain up to date on these latest transformations and best practices. The Handbook of Research on Project Management Strategies and Tools for Organizational Success is a pivotal reference source that analyzes and disseminates new trends that will allow managers to improve their skills and strengthen the performance of their companies through obtaining better results in the projects undertaken. While highlighting topics such as market growth, risk management, and value creation, this book is ideally designed for project managers, managers, business professionals, entrepreneurs, academicians, researchers, and students seeking current research on improving the competitiveness of companies as well as increasing their earned value. |
| cognitive project management for ai: Technology, Anthropology, and Dimensions of Responsibility Birgit Beck, Michael Kühler, 2020-02-19 “With great power comes great responsibility.” In today’s world, with our growing technological power and the knowledge about its impact, we are considered to be responsible for many instances that not long ago would have been deemed a matter of fate. At the same time, the looming options of, e.g., genome editing or neuroprosthetics, threaten traditional notions of responsibility if no longer the person but the technology involved is deemed to be responsible for a specific behaviour. The growing ethical debate on the expansion of human responsibility, e.g. when it comes to human-machine-interaction, ambient intelligence, or reproductive technologies, thus intertwines with the challenge to formulate an appropriate understanding of the concept of personal responsibility and our respective anthropological self-understanding in today’s technological world. The volume brings together both perspectives and aims at illuminating crucial dimensions of responsibility in light of technological innovation and our self-understanding as responsible beings. |
| cognitive project management for ai: The AI Advantage Thomas H. Davenport, 2019-08-06 Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review. |
| cognitive project management for ai: Learning and Skills Nicholas John Mackintosh, Andrew M. Colman, 1995 This exciting new series provides comprehensive and concise coverage of all the major topics studied in undergraduate psychology courses. Each volume deals with a core module and is written by a team of distinguished, international contributors who are actively involved in research. Every book has been carefully edited to ensure a consistent and accessible style and includes an introduction, glossary and suggestions for further reading. |
| cognitive project management for ai: Project Management and Leadership Challenges, Volume II M. Aslam Mirza, 2018-04-04 Project management endeavor is a change management process requiring all stakeholders to engage and satisfy human aspects about their experience of workplace change. The goal is to help all concerned more quickly and happily adjust to new approaches and new ways of working. Good change management lets people get back to work faster and feel more satisfied with their change experience and the demands of new approach. This second volume provides team members the necessary support before, during, and after the move to establishing project management approach. It includes dealing with human factors, human psychology, human behavior, managing peak performance, work-enabling environment, transformational management, and preparing for challenges of disruption. Managing workplace change takes time and focus. The communication has to go both ways. It is critical to ask professionals for input, to address concerns as they arise, to identify the influencers within teams, and to engage them in efforts. |
| cognitive project management for ai: Cognitive Analytics: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2020-03-06 Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries, including business and healthcare. It is necessary to develop specific software programs that can analyze and interpret large amounts of data quickly in order to ensure adequate usage and predictive results. Cognitive Analytics: Concepts, Methodologies, Tools, and Applications provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques. It also examines the incorporation of pattern management as well as decision-making and prediction processes through the use of data management and analysis. Highlighting a range of topics such as natural language processing, big data, and pattern recognition, this multi-volume book is ideally designed for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, software engineers, IT specialists, and academicians. |
| cognitive project management for ai: Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure Ibrahim Yitmen, 2023-07-17 This book provides knowledge into Cognitive Digital Twins for smart lifecycle management of built environment and infrastructure focusing on challenges and opportunities. It focuses on the challenges and opportunities of data-driven cognitive systems by integrating the heterogeneous data from multiple resources that can easily be used in a machine learning model and adjust the algorithms. It comprises Digital Twins incorporating cognitive features that will enable sensing complex and unpredicted behavior and reason about dynamic strategies for process optimization to support decision-making in lifecycle management of the built environment and infrastructure. The book introduces the Knowledge Graph (KG)-centric framework for Cognitive Digital Twins involving process modeling and simulation, ontology-based Knowledge Graph, analytics for process optimizations, and interfaces for data operability. It offers contributions of Cognitive Digital Twins for the integration of IoT, Big data, AI, smart sensors, machine learning and communication technologies, all connected to a novel paradigm of self-learning hybrid models with proactive cognitive capabilities. The book presents the topologies of models described for autonomous real time interpretation and decision-making support of complex system development based on Cognitive Digital Twins with applications in critical domains such as maintenance of complex engineering assets in built environment and infrastructure. It offers the essential material to enlighten pertinent research communities of the state-of-the-art research and the latest development in the area of Cognitive Digital Twins, as well as a valuable reference for planners, designers, developers, and ICT experts who are working towards the development and implementation of autonomous Cognitive IoT based on big data analytics and context–aware computing. |
| cognitive project management for ai: Networked Artificial Intelligence Radhika Ranjan Roy, 2024-10-30 The integration of fifth generation (5G) wireless technologies with distributed artificial intelligence (AI) is transforming network operations. AI is increasingly embedded in all network elements, from cloud and edge to terminal devices, enabling AI to function as a networking system. This convergence facilitates AI-based applications across the global network, with notable successes in various domains such as computer vision, natural language processing, and healthcare. Networked Artificial Intelligence: AI-Enabled 5G Networking a comprehensive framework for the deep integration of computing and communications, optimizing networks and applications as a unified system using AI. The book covers topics ranging from networked AI fundamentals to AI-enabled 5G networks, including agent modeling, machine learning (ML) algorithms, and network protocol architectures. It discusses how network service providers can leverage AI and ML techniques to customize network baselines, reduce noise, and accurately identify issues. It also looks at AI-driven networks that enable self-correction for maximum uptime and prescriptive actions for issue resolution, as well as troubleshooting by capturing and storing data before network events. The book presents a comprehensive approach to AI-enabled networking that offers unprecedented opportunities for efficiency, reliability, and innovation in telecommunications. It works through the approach’s five steps of connection, communication, collaboration, curation, and community. These steps enhance network effects, empowering operators with insights for trusted automation, cost reduction, and optimal user experiences. The book also discusses AI and ML capabilities that enable networks to continuously learn, self-optimize, and predict and rectify service degradations proactively, even with full automation. |
| cognitive project management for ai: Soft Computing for Security Applications G. Ranganathan, Xavier Fernando, Selwyn Piramuthu, 2022-09-29 This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2022), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during April 21–22, 2022. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. This book presents innovative work by leading academics, researchers, and experts from industry. |
COGNITIVE Definition & Meaning - Merriam-Webster
The meaning of COGNITIVE is of, relating to, being, or involving conscious intellectual activity (such as thinking, reasoning, or remembering). How to use cognitive in a sentence.
COGNITIVE Definition & Meaning | Dictionary.com
Cognitive definition: of or relating to cognition; concerned with the act or process of knowing, perceiving, etc. .. See examples of COGNITIVE used in a sentence.
COGNITIVE | English meaning - Cambridge Dictionary
COGNITIVE definition: 1. connected with thinking or conscious mental processes: 2. connected with thinking or conscious…. Learn more.
Cognitive Definition and Meaning in Psychology - Verywell Mind
Apr 21, 2024 · Cognitive psychology seeks to understand all of the mental processes involved in human thought and behavior. It focuses on cognitive processes such as decision-making, …
Cognition - Wikipedia
It encompasses all aspects of intellectual functions and processes such as: perception, attention, thought, imagination, intelligence, the formation of knowledge, memory and working memory, …
Cognition | Definition, Psychology, Examples, & Facts | Britannica
May 15, 2025 · cognition, the states and processes involved in knowing, which in their completeness include perception and judgment. Cognition includes all conscious and …
Cognitive Approach In Psychology
May 12, 2025 · The cognitive approach in psychology studies mental processes—such as how we perceive, think, remember, learn, make decisions, and solve problems. Cognitive psychologists …
What does Cognitive mean? - Definitions.net
Cognitive refers to the mental processes and activities related to acquiring, processing, storing, and using information. It involves various abilities such as perception, attention, memory, …
Cognitive - Definition, Meaning & Synonyms | Vocabulary.com
The adjective, cognitive, comes from the Latin cognoscere "to get to know" and refers to the ability of the brain to think and reason as opposed to feel. A child's cognitive development is the …
Cognitive - definition of cognitive by The Free Dictionary
1. of or pertaining to cognition. 2. of or pertaining to the mental processes of perception, memory, judgment, and reasoning, as contrasted with emotional and volitional processes. cog`ni•tiv′i•ty, …
COGNITIVE Definition & Meaning - Merriam-Webster
The meaning of COGNITIVE is of, relating to, being, or involving conscious intellectual activity (such as thinking, reasoning, or remembering). How to use cognitive in a sentence.
COGNITIVE Definition & Meaning | Dictionary.com
Cognitive definition: of or relating to cognition; concerned with the act or process of knowing, perceiving, etc. .. See examples of COGNITIVE used in a sentence.
COGNITIVE | English meaning - Cambridge Dictionary
COGNITIVE definition: 1. connected with thinking or conscious mental processes: 2. connected with thinking or conscious…. Learn more.
Cognitive Definition and Meaning in Psychology - Verywell Mind
Apr 21, 2024 · Cognitive psychology seeks to understand all of the mental processes involved in human thought and behavior. It focuses on cognitive processes such as decision-making, …
Cognition - Wikipedia
It encompasses all aspects of intellectual functions and processes such as: perception, attention, thought, imagination, intelligence, the formation of knowledge, memory and working memory, …
Cognition | Definition, Psychology, Examples, & Facts | Britannica
May 15, 2025 · cognition, the states and processes involved in knowing, which in their completeness include perception and judgment. Cognition includes all conscious and …
Cognitive Approach In Psychology
May 12, 2025 · The cognitive approach in psychology studies mental processes—such as how we perceive, think, remember, learn, make decisions, and solve problems. Cognitive psychologists …
What does Cognitive mean? - Definitions.net
Cognitive refers to the mental processes and activities related to acquiring, processing, storing, and using information. It involves various abilities such as perception, attention, memory, …
Cognitive - Definition, Meaning & Synonyms | Vocabulary.com
The adjective, cognitive, comes from the Latin cognoscere "to get to know" and refers to the ability of the brain to think and reason as opposed to feel. A child's cognitive development is …
Cognitive - definition of cognitive by The Free Dictionary
1. of or pertaining to cognition. 2. of or pertaining to the mental processes of perception, memory, judgment, and reasoning, as contrasted with emotional and volitional processes. cog`ni•tiv′i•ty, …
