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| artificial intelligence 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. |
| artificial intelligence 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. |
| artificial intelligence 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 |
| artificial intelligence 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. |
| artificial intelligence project management: AI-Driven Project Management Kristian Bainey, 2024-04-23 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. |
| artificial intelligence 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. |
| artificial intelligence 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. |
| artificial intelligence project management: Managing AI in the Enterprise Klaus Haller, 2021-12-17 Delivering AI projects and building an AI organization are two big challenges for enterprises. They determine whether companies succeed or fail in establishing AI and integrating AI into their digital transformation. This book addresses both challenges by bringing together organizational and service design concepts, project management, and testing and quality assurance. It covers crucial, often-overlooked topics such as MLOps, IT risk, security and compliance, and AI ethics. In particular, the book shows how to shape AI projects and the capabilities of an AI line organization in an enterprise. It elaborates critical deliverables and milestones, helping you turn your vision into a corporate reality by efficiently managing and setting goals for data scientists, data engineers, and other IT specialists. For those new to AI or AI in an enterprise setting you will find this book a systematic introduction to the field. You will get the necessary know-how to collaborate with and lead AI specialists and guide them to success. Time-pressured readers will benefit from self-contained sections explaining key topics and providing illustrations for fostering discussions in their next team, project, or management meeting. Reading this book helps you to better sell the business benefits from your AI initiatives and build your skills around scoping and delivering AI projects. You will be better able to work through critical aspects such as quality assurance, security, and ethics when building AI solutions in your organization. What You Will Learn Clarify the benefits of your AI initiatives and sell them to senior managers Scope and manage AI projects in your organization Set up quality assurance and testing for AI models and their integration in complex software solutions Shape and manage an AI delivery organization, thereby mastering ML Ops Understand and formulate requirements for the underlying data management infrastructure Handle AI-related IT security, compliance, and risk topics and understand relevant AI ethics aspects Who This Book Is For Experienced IT managers managing data scientists or who want to get involved in managing AI projects, data scientists and other tech professionals who want to progress toward taking on leadership roles in their organization’s AI initiatives and who aim to structure AI projects and AI organizations, any line manager and project manager involved in AI projects or in collaborating with AI teams |
| artificial intelligence 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. |
| artificial intelligence 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 |
| artificial intelligence 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. |
| artificial intelligence project management: 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. |
| artificial intelligence 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. |
| artificial intelligence project management: Project Management with AI For Dummies Daniel Stanton, 2025-04-29 Use artificial intelligence to upgrade your project management efficiency Project managers need to stay on top of the latest technologies and trends to stay current in their job skills. Adding artificial intelligence usage to your skillset now will help you future-proof your career and put you ahead of the competition on the job market. Project Management with AI For Dummies provides you with a jumping-off point for using artificial intelligence in all stages of project management. This beginner-friendly guide teaches you how to use AI to plan, initiate, and manage projects, including building an AI-powered project model, streamlining schedules and budgets, and beyond. Plus, you'll learn to ingrate AI on your teams for enhanced collaboration. Give your performance a boost with the assistance of AI—and this Dummies guide. Take the big leap into AI adoption for all stages of project management Make data-driven decisions for better planning and performance Discover AI tools that you can start using right away Get tips on avoiding common pitfalls when getting started with AI Project Management with AI For Dummies makes it easy for current and future project managers to get started harnessing the latest technologies. |
| artificial intelligence project management: Project Management Adedeji B. Badiru, 2019-05-29 The goal of the new edition is to continue with a systems view of the world. For a more robust and worldwide market dissemination, the new edition has changed to a reference book. The project systems approach to project management, is needed in executing projects across countries and across cultures, which is a crucial requirement in today's globalized and intertwined economics. The book uses ample graphical representations to clarify the concepts and techniques presented. The case examples help to reinforce the topics covered. Several illustrative examples and practice exercises are included. Each chapter is updated and new chapters include Project Simulation and Project Templates. A new chapter on managing complex projects in an age of artificial intelligence adds a unique value to the book. Features Highlights contemporary best practices of project management Uses a systems framework to integrate quantitative and qualitative tools Offers illustrative examples and practice exercises Covers project schedule performance appraisal techniques Discusses the knowledge areas contained in the Project Management Book of Knowledge (PMBOK) Presents software applications for project management, as well as case examples |
| artificial intelligence project management: AI-Powered Project Management Mohammad Zaripour, 2024-08-20 AI-Powered Project Management: Merging Technology with Team Success by Mohammad Zaripour is an insightful and forward-thinking guide that explores the transformative impact of artificial intelligence (AI) on project management. In an era where technology rapidly evolves, project managers face the challenge of harnessing AI to optimize processes, improve decision-making, and ultimately achieve success. This book offers a comprehensive roadmap for integrating AI into the project management landscape, providing both seasoned professionals and newcomers with the tools they need to navigate this emerging field. In this book, Mohammad Zaripour, a seasoned project management professional with deep expertise in engineering, shares his knowledge and experience to help readers understand the profound ways AI can revolutionize project management. Drawing on his extensive background, Zaripour delves into the complexities of AI, demystifying concepts such as machine learning, predictive analytics, and automation. He illustrates how these technologies can be leveraged to enhance project efficiency, streamline workflows, and improve team collaboration. The book begins by laying a solid foundation in AI fundamentals, making complex topics accessible to readers of all backgrounds. Zaripour then guides readers through the practical applications of AI in project management, offering real-world examples and case studies that highlight the benefits and challenges of AI adoption. From optimizing resource allocation and risk management to enhancing decision-making and communication, the book covers every aspect of AI’s role in the modern project management toolkit. As the author explores the integration of AI with agile and traditional project management methodologies, he provides actionable insights on how to align AI technologies with organizational goals. Zaripour’s approach is not just theoretical; it is grounded in practical advice that readers can apply immediately to their projects. He emphasizes the importance of ethical considerations and data security, ensuring that AI is used responsibly and effectively in project environments. AI-Powered Project Management: Merging Technology with Team Success also offers a forward-looking perspective, exploring the future of AI in project management and its potential to reshape industries. Mohammad Zaripour's vision is clear: AI is not just a tool for automation; it is a strategic asset that, when properly implemented, can lead to unparalleled project success and innovation. For project managers, team leaders, and business executives seeking to stay ahead of the curve, this book is an essential resource. Zaripour’s expertise and clear, engaging writing style make this complex subject matter both accessible and compelling. Whether you are new to AI or looking to deepen your understanding, this book will equip you with the knowledge and confidence to lead your team into the future of project management. |
| artificial intelligence 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! |
| artificial intelligence project management: A Project Manager's Book of Forms Cynthia Snyder Dionisio, 2017-11-21 Essential project management forms aligned to the PMBOK® Guide—Sixth Edition A Project Manager's Book of Forms is an essential companion to the Project Management Institute's A Guide to the Project Management Body of Knowledge. Packed with ready-made forms for managing every stage in any project, this book offers both new and experienced project managers an invaluable resource for thorough documentation and repeatable processes. Endorsed by PMI and aligned with the PMBOK® Guide, these forms cover all aspects of initiating, planning, executing, monitoring and controlling, and closing; each form can be used as-is directly from the book, or downloaded from the companion website and tailored to your project's unique needs. This new third edition has been updated to align with the newest PMBOK® Guide, and includes forms for agile, the PMI Talent Triangle, technical project management, leadership, strategic and business management, and more. The PMBOK® Guide is the primary reference for project management, and the final authority on best practices—but implementation can quickly become complex for new managers on large projects, or even experienced managers juggling multiple projects with multiple demands. This book helps you stay organized and on-track, helping you ensure thorough documentation throughout the project life cycle. Adopt PMI-endorsed forms for documenting every process group Customize each form to suit each project's specific needs Organize project data and implement a repeatable management process Streamline PMBOK® Guide implementation at any level of project management experience Instead of wasting time interpreting and translating the PMBOK® Guide to real-world application, allow PMI to do the work for you: A Project Manager's Book of Forms provides the PMBOK®-aligned forms you need to quickly and easily implement project management concepts and practices. |
| artificial intelligence project management: The AI Revolution in Project Management Vijay Kanabar, 2023-12-08 In a world where technology is rapidly evolving, the fusion of project management and artificial intelligence stands at the forefront of innovation. The AI Revolution in Project Management delves deep into the transformative power of generative AI tools that promise to reshape industries, and revolutionize how we manage projects. Whether you're looking to build dynamic teams using AI, choose a project development approach, or monitor project performance, this book has got you covered. Each chapter provides insightful narratives and includes a supplemental Technical Guide that provides tips on using the AI technology. With case studies and prompts, the dialogues showcase AI in action, from stakeholder engagement to risk management. Dive in with experts who’ve spent countless hours using these AI tools in project scenarios to offer a transparent view into generative AI-driven project management. In this book you'll learn: How to create prompts that generate meaningful and actionable insights tailored for your projects When to use AI to enhance decision-making, super-charge productivity, and elevate overall project efficiency Which generative AI models and plug-ins to use for specific project scenarios, ensuring seamless integration and maximum efficiency AI is not just a buzzword; it’s a tool reshaping how we manage projects and engage with stakeholders. - From the Foreward by Ricardo Viana Vargas, Ph.D. Ricardo is an experienced leader in global operations, project management, business transformation, and crisis management. As founder and managing director of Macrosolutions, a consulting firm with international operations in energy, infrastructure, IT, oil, and finance, he managed more than $20 billion in international projects in the past 25 years. Update As AI products continue to evolve, information published in this book may change. Please note that as of February 2024, there is a name change for Bing Chat and Bard Chat. Microsoft Bing Chat is now Copilot: https://copilot.microsoft.com/. Google Bard is now Gemini: https://gemini.google.com/. |
| artificial intelligence 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 |
| artificial intelligence 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 |
| artificial intelligence 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. |
| artificial intelligence 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. |
| artificial intelligence 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. |
| artificial intelligence 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. |
| artificial intelligence project management: Citizen Development Project Management Institute, 2021-01-30 Citizen development allows anyone to build applications without software expertise, significantly faster, and at a fraction of the cost. Unlock the value within your organization. Learn the tools and techniques needed to introduce and scale citizen development. This book brings together the latest thinking on citizen development from industry thought leaders, no-code/low-code vendors, transformation experts, and executives who oversee large technology investments. It guides organizations to deliver citizen development projects, design better apps, scale the operating model, align key stakeholders, and nurture and grow citizen development. |
| artificial intelligence 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. |
| artificial intelligence project management: The AI Revolution in Project Management Peter F. Schindler, 2024-02-18 The AI Revolution in Project Management: Unlocking Success Secrets with AI explores the transformative power of artificial intelligence in revolutionizing project management. Peter F. Schindler guides readers through the integration of AI into project management, illustrating its potential to enhance efficiency, optimize both classic and agile projects, and overcome traditional challenges. This book is essential for decision-makers aiming to leverage AI for profitable project advancements, offering practical insights, strategies, and case studies from various industries. It serves as a comprehensive manual for navigating the complexities of AI integration, ensuring project success in an era where technological advancements redefine the standards of management and execution. Perfect for professionals seeking to stay ahead in the rapidly evolving business landscape, this book provides the tools to harness AI's capabilities, transforming challenges into opportunities for unprecedented project success. |
| artificial intelligence project management: Project Management, Planning and Control Albert Lester, 2007 This fifth edition provides a comprehensive resource for project managers. It describes the latest project management systems that use critical path methods. |
| artificial intelligence project management: Artificial Intelligence and Machine Learning for Business Steven Finlay, 2018-07 Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies. This third edition has been substantially revised and updated. It contains several new chapters and covers a broader set of topics than before, but retains the no-nonsense style of the original. |
| artificial intelligence project management: HBR Guide to Project Management (HBR Guide Series) Harvard Business Review, 2013-01-08 MEET YOUR GOALS—ON TIME AND ON BUDGET. How do you rein in the scope of your project when you’ve got a group of demanding stakeholders breathing down your neck? And map out a schedule everyone can stick to? And motivate team members who have competing demands on their time and attention? Whether you’re managing your first project or just tired of improvising, this guide will give you the tools and confidence you need to define smart goals, meet them, and capture lessons learned so future projects go even more smoothly. The HBR Guide to Project Management will help you: Build a strong, focused team Break major objectives into manageable tasks Create a schedule that keeps all the moving parts under control Monitor progress toward your goals Manage stakeholders’ expectations Wrap up your project and gauge its success |
| artificial intelligence project management: Artificial Intelligence for Business Doug Rose, 2020-12-09 The Easy Introduction to Machine Learning (Ml) for Nontechnical People--In Business and Beyond Artificial Intelligence for Business is your plain-English guide to Artificial Intelligence (AI) and Machine Learning (ML): how they work, what they can and cannot do, and how to start profiting from them. Writing for nontechnical executives and professionals, Doug Rose demystifies AI/ML technology with intuitive analogies and explanations honed through years of teaching and consulting. Rose explains everything from early “expert systems” to advanced deep learning networks. First, Rose explains how AI and ML emerged, exploring pivotal early ideas that continue to influence the field. Next, he deepens your understanding of key ML concepts, showing how machines can create strategies and learn from mistakes. Then, Rose introduces current powerful neural networks: systems inspired by the structure and function of the human brain. He concludes by introducing leading AI applications, from automated customer interactions to event prediction. Throughout, Rose stays focused on business: applying these technologies to leverage new opportunities and solve real problems. Compare the ways a machine can learn, and explore current leading ML algorithms Start with the right problems, and avoid common AI/ML project mistakes Use neural networks to automate decision-making and identify unexpected patterns Help neural networks learn more quickly and effectively Harness AI chatbots, virtual assistants, virtual agents, and conversational AI applications |
| artificial intelligence 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. |
| artificial intelligence 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. |
| artificial intelligence project management: 2021 International Conference of Women in Data Science at Taif University (WiDSTaif ) IEEE Staff, 2021-03-30 Data Science and its applications |
| artificial intelligence 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. |
| artificial intelligence project management: Analytical Hierarchy Process, Earned Value and Other Project Management Themes Ricardo Viana Vargas, Sergio Alves Lima Jardim, 2014-09-26 Twelve technical articles from 1999 to 2014 that will help the understanding of the project management context. |
| artificial intelligence project management: Managing Machine Learning Projects Simon Thompson, 2023-07-25 Guide machine learning projects from design to production with the techniques in this unique project management guide. No ML skills required! In Managing Machine Learning Projects you’ll learn essential machine learning project management techniques, including: Understanding an ML project’s requirements Setting up the infrastructure for the project and resourcing a team Working with clients and other stakeholders Dealing with data resources and bringing them into the project for use Handling the lifecycle of models in the project Managing the application of ML algorithms Evaluating the performance of algorithms and models Making decisions about which models to adopt for delivery Taking models through development and testing Integrating models with production systems to create effective applications Steps and behaviors for managing the ethical implications of ML technology Managing Machine Learning Projects is an end-to-end guide for delivering machine learning applications on time and under budget. It lays out tools, approaches, and processes designed to handle the unique challenges of machine learning project management. You’ll follow an in-depth case study through a series of sprints and see how to put each technique into practice. The book’s strong consideration to data privacy, and community impact ensure your projects are ethical, compliant with global legislation, and avoid being exposed to failure from bias and other issues. About the Technology Ferrying machine learning projects to production often feels like navigating uncharted waters. From accounting for large data resources to tracking and evaluating multiple models, machine learning technology has radically different requirements than traditional software. Never fear! This book lays out the unique practices you’ll need to ensure your projects succeed. About the Book Managing Machine Learning Projects is an amazing source of battle-tested techniques for effective delivery of real-life machine learning solutions. The book is laid out across a series of sprints that take you from a project proposal all the way to deployment into production. You’ll learn how to plan essential infrastructure, coordinate experimentation, protect sensitive data, and reliably measure model performance. Many ML projects fail to create real value—read this book to make sure your project is a success. What's Inside Set up infrastructure and resource a team Bring data resources into a project Accurately estimate time and effort Evaluate which models to adopt for delivery Integrate models into effective applications About the Reader For anyone interested in better management of machine learning projects. No technical skills required. About the Author Simon Thompson has spent 25 years developing AI systems to create applications for use in telecoms, customer service, manufacturing and capital markets. He led the AI research program at BT Labs in the UK, and is now the Head of Data Science at GFT Technologies. Table of Contents 1 Introduction: Delivering machine learning projects is hard; let’s do it better 2 Pre-project: From opportunity to requirements 3 Pre-project: From requirements to proposal 4 Getting started 5 Diving into the problem 6 EDA, ethics, and baseline evaluations 7 Making useful models with ML 8 Testing and selection 9 Sprint 3: system building and production 10 Post project (sprint O) |
| artificial intelligence 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-- |
| artificial intelligence project management: Project Management with Artificial Intelligence William Uc, 2023-10-04 This book will explore the various aspects of AI in project management, including how to use AI to create an efficient and organized workflow, how to set up a successful AI project and how to measure its success. It will also discuss the importance of data collection and analysis in the context of AI project management, as well as best practices for integrating AI into existing project management processes. |
Artificial Intelligence - Project Management Institute
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