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Project Management An Artificial Intelligent Ai Approach
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Book Synopsis Artificial Intelligence in Project Management and Making Decisions by : Pedro Y. Piñero Pérez
Download or read book Artificial Intelligence in Project Management and Making Decisions written by Pedro Y. Piñero Pérez and published by Springer Nature. This book was released on 2022-04-07 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Applying Artificial Intelligence to Project Management by : Paul Boudreau
Download or read book Applying Artificial Intelligence to Project Management written by Paul Boudreau and published by . This book was released on 2019-11-13 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Artificial Intelligence and Project Management by : Tadeusz A. Grzeszczyk
Download or read book Artificial Intelligence and Project Management written by Tadeusz A. Grzeszczyk and published by Taylor & Francis. This book was released on 2024-05-01 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Project Management – an Artificial Intelligent (Ai) Approach by : Kim Hin David HO
Download or read book Project Management – an Artificial Intelligent (Ai) Approach written by Kim Hin David HO and published by Partridge Publishing Singapore. This book was released on 2020-08-04 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a novel treatment of modern project management from artificial intelligence (AI), entailing data analytics, neural networks, fuzzy logic, genetic algorithms; and data visualisation deploying agent based modelling for the knowledge based urban development (KBUD). The book can be adopted by design engineers, urban planners, project managers, quantity and real estate surveyors, public and private real estate developers, architects and scholars. Chapter 1 discusses that the traditional statistical method, which needs a priori parametric knowledge of linear or non-linear functions between the input and output variables. Nneural networks do not need such information to predict future possible outcomes. Chapter 2 reiterates that new private office and residential supply like in Hong Kong depend on current market prices, relative to the replacement or building costs. The market should equate prices with replacement costs that include the cost of land. Prices and costs may diverge because of lags and delays in the building process. Chapter 3 discusses the specific tasks to be planned to develop life cycle models and metrics to analyse technology and innovation. Such models can look into life cycle cost analysis (LCA). Chapter 4 draws attention to the trend that in a highly volatile world, the best point estimate of classical DCF model is not a reliable indication of investment worth. The fuzzy discounted cash flow (DCF) model offers a natural and intuitive way, based on a set of fuzzy inputs. The fuzzy net present value (NPV) for an office-cum-retail development is so estimated to provide the approximated evaluation of investment worth. Chapter 5 discusses the fuzzy tactical asset allocation (FTAA) model, incorporating intuitive decision making into the direct real estate project (asset) allocation process, from the expert investor prospective. The FTAA model improves the efficiency of asset allocation, adopting fuzzy set theory and fuzzy optimization theory. Chapter 6 reiterates that today’s city planners see the KBUD strategy as a new form of urban renewal for industrial cities. Planners believe KBUDs bring economic, technological progress and sustainable socio-spatial order to the contemporary city. Chapter 6 addresses the need for an urban design criterion that aids in efficient land use planning for KBUDs.
Book Synopsis AI and the Project Manager by : Peter Taylor
Download or read book AI and the Project Manager written by Peter Taylor and published by Routledge. This book was released on 2021-10-27 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis AI-Driven Project Management by : Kristian Bainey
Download or read book AI-Driven Project Management written by Kristian Bainey and published by John Wiley & Sons. This book was released on 2024-04-02 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Project Management - an Artificial Intelligent (Ai) Approach by : Kim Hin David Ho
Download or read book Project Management - an Artificial Intelligent (Ai) Approach written by Kim Hin David Ho and published by . This book was released on 2020-08-04 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a novel treatment of modern project management from artificial intelligence (AI), entailing data analytics, neural networks, fuzzy logic, genetic algorithms; and data visualisation deploying agent based modelling for the knowledge based urban development (KBUD). The book can be adopted by design engineers, urban planners, project managers, quantity and real estate surveyors, public and private real estate developers, architects and scholars. Chapter 1 discusses that the traditional statistical method, which needs a priori parametric knowledge of linear or non-linear functions between the input and output variables. Nneural networks do not need such information to predict future possible outcomes. Chapter 2 reiterates that new private office and residential supply like in Hong Kong depend on current market prices, relative to the replacement or building costs. The market should equate prices with replacement costs that include the cost of land. Prices and costs may diverge because of lags and delays in the building process. Chapter 3 discusses the specific tasks to be planned to develop life cycle models and metrics to analyse technology and innovation. Such models can look into life cycle cost analysis (LCA). Chapter 4 draws attention to the trend that in a highly volatile world, the best point estimate of classical DCF model is not a reliable indication of investment worth. The fuzzy discounted cash flow (DCF) model offers a natural and intuitive way, based on a set of fuzzy inputs. The fuzzy net present value (NPV) for an office-cum-retail development is so estimated to provide the approximated evaluation of investment worth. Chapter 5 discusses the fuzzy tactical asset allocation (FTAA) model, incorporating intuitive decision making into the direct real estate project (asset) allocation process, from the expert investor prospective. The FTAA model improves the efficiency of asset allocation, adopting fuzzy set theory and fuzzy optimization theory. Chapter 6 reiterates that today's city planners see the KBUD strategy as a new form of urban renewal for industrial cities. Planners believe KBUDs bring economic, technological progress and sustainable socio-spatial order to the contemporary city. Chapter 6 addresses the need for an urban design criterion that aids in efficient land use planning for KBUDs.
Book Synopsis Artificial Intelligence in Project Management: AI Tools, Use Cases, and Prompts for Driving Project Efficiency, Innovation and Success by : EMANUELA GIANGREGORIO
Download or read book Artificial Intelligence in Project Management: AI Tools, Use Cases, and Prompts for Driving Project Efficiency, Innovation and Success written by EMANUELA GIANGREGORIO and published by PMIP. This book was released on 2024-06-02 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The AI Revolution in Project Management by : Vijay Kanabar
Download or read book The AI Revolution in Project Management written by Vijay Kanabar and published by Sams Publishing. This book was released on 2023-12-08 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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/.
Book Synopsis Revolutionizing Project Management by : Avery Harrison
Download or read book Revolutionizing Project Management written by Avery Harrison and published by Enlighten Publications. This book was released on 2023-11-24 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
Book Synopsis How the Project Management Office Can Use Artificial Intelligence to Improve the Bottom Line by : Paul Boudreau
Download or read book How the Project Management Office Can Use Artificial Intelligence to Improve the Bottom Line written by Paul Boudreau and published by . This book was released on 2020-04-02 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis AI-Powered Project Management by : Mohammad Zaripour
Download or read book AI-Powered Project Management written by Mohammad Zaripour and published by Independently Published. This book was released on 2024-08-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Robot-Proof, revised and updated edition by : Joseph E. Aoun
Download or read book Robot-Proof, revised and updated edition written by Joseph E. Aoun and published by MIT Press. This book was released on 2024-10-15 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The AI Revolution in Project Management by : Peter F. Schindler
Download or read book The AI Revolution in Project Management written by Peter F. Schindler and published by tredition. This book was released on 2024-02-18 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Practical Approaches to Agile Project Management by : Misra, Sanjay
Download or read book Practical Approaches to Agile Project Management written by Misra, Sanjay and published by IGI Global. This book was released on 2024-05-30 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Amidst the relentless pace of the contemporary business landscape, information technology (IT) projects grapple with an escalating challenge the need to deliver solutions swiftly, adapt to evolving customer demands, and create value within the ever-shifting dynamics of the market. In this demanding environment, the traditional project management paradigms often fall short, necessitating a shift towards methodologies that embody flexibility, customer collaboration, and iterative development. Herein lies the crux of the issue faced by modern IT projects. Practical Approaches to Agile Project Management is a guide in the tumult of IT project complexities. This book provides a comprehensive solution to the complexities of contemporary project management by delving into topics such as alternative pricing models and the alignment of organizational cultures in IT partnerships, making it an indispensable resource for professionals, academics, and students navigating the domains of business, information technology, or project management. Primarily aimed at IT professionals involved in project management and service delivery, this book caters to a broad spectrum of individuals, including IT Project Managers, Consultants, Entrepreneurs, and Executives at IT Service Firms. Additionally, it extends its value to Business Leaders undertaking IT-enabled transformations and Academic Researchers delving into the intersection of agile methodologies and IT service delivery. From prioritization strategies for IT Project Managers to frameworks for consultants, entrepreneurs, and executives, this book addresses the diverse needs of its readership, offering practical, evidence-based insights to optimize IT service delivery across various organizational contexts.
Book Synopsis The Future of Project Management by : Igor Vrečko
Download or read book The Future of Project Management written by Igor Vrečko and published by Cambridge Scholars Publishing. This book was released on 2023-11-14 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Managing Machine Learning Projects by : Simon Thompson
Download or read book Managing Machine Learning Projects written by Simon Thompson and published by Simon and Schuster. This book was released on 2023-07-25 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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)
