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Author: Paul Boudreau
Publisher:
ISBN: 9781687550941
Category :
Languages : en
Pages : 184
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Book Description
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.
Author: Paul Boudreau
Publisher:
ISBN: 9781687550941
Category :
Languages : en
Pages : 184
Get Book
Book Description
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.
Author: Peter Taylor
Publisher: Routledge
ISBN: 1000464172
Category : Business & Economics
Languages : en
Pages : 140
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Book Description
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.
Author: Paul Boudreau
Publisher:
ISBN: 9781656629029
Category :
Languages : en
Pages : 198
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Book Description
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.
Author: Phill Akinwale
Publisher: Praizion Media
ISBN: 9781934579282
Category :
Languages : en
Pages : 0
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Book Description
With the rapid pace of technological advancement, AI is not just an abstract concept of the future-it's a present reality transforming the field of project management. 'Artificial Intelligence for Project Managers' unveils this potent tool, demonstrating how AI can foster innovation, augment efficiency, and pave the way for success in project management. Penned by Phill Akinwale, OPM3, PMP, a seasoned project management professional and trainer to distinguished entities including NASA, FBI, USAF, USACE, and the US Army, this book is a practical and comprehensive guide. It navigates the real-world applications of AI, from optimizing Kanban boards to providing real-time project insights. But it goes beyond looking into the ethical terrain to discuss the social and moral implications of AI integration in project management practices. Drawing from a wealth of experience, Phill enriches the book with a fun-filled story modeled after his classes, case studies, exercises, and real-life examples. He challenges project managers to not only stay abreast of AI's potential impact but also to consider the ethical dimensions of its application. Whether you're a veteran project manager seeking to stay ahead of the technological curve, or a novice looking to navigate this evolving landscape, 'AI for Project Managers' is your essential guide. Embrace the future, arm yourself with knowledge, and ride the crest of the AI wave under the expert guidance of your friend Phill.
Author: Söhnke M. Bartram
Publisher: CFA Institute Research Foundation
ISBN: 195292703X
Category : Business & Economics
Languages : en
Pages : 95
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Book Description
Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.
Author: Pedro Y. Piñero Pérez
Publisher: Springer Nature
ISBN: 3030972690
Category : Technology & Engineering
Languages : en
Pages : 423
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Book Description
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.
Author: Mario Vanhoucke
Publisher: Springer Science & Business Media
ISBN: 3642404383
Category : Business & Economics
Languages : en
Pages : 318
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Book Description
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".
Author: Joseph E. Aoun
Publisher: MIT Press
ISBN: 0262535971
Category : Education
Languages : en
Pages : 211
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Book Description
How to educate the next generation of college students to invent, to create, and to discover—filling needs that even the most sophisticated robot cannot. Driverless cars are hitting the road, powered by artificial intelligence. Robots can climb stairs, open doors, win Jeopardy, analyze stocks, work in factories, find parking spaces, advise oncologists. In the past, automation was considered a threat to low-skilled labor. Now, many high-skilled functions, including interpreting medical images, doing legal research, and analyzing data, are within the skill sets of machines. How can higher education prepare students for their professional lives when professions themselves are disappearing? In Robot-Proof, Northeastern University president Joseph Aoun proposes a way to educate the next generation of college students to invent, to create, and to discover—to fill needs in society that even the most sophisticated artificial intelligence agent cannot. A “robot-proof” education, Aoun argues, is not concerned solely with topping up students' minds with high-octane facts. Rather, it calibrates them with a creative mindset and the mental elasticity to invent, discover, or create something valuable to society—a scientific proof, a hip-hop recording, a web comic, a cure for cancer. Aoun lays out the framework for a new discipline, humanics, which builds on our innate strengths and prepares students to compete in a labor market in which smart machines work alongside human professionals. The new literacies of Aoun's humanics are data literacy, technological literacy, and human literacy. Students will need data literacy to manage the flow of big data, and technological literacy to know how their machines work, but human literacy—the humanities, communication, and design—to function as a human being. Life-long learning opportunities will support their ability to adapt to change. The only certainty about the future is change. Higher education based on the new literacies of humanics can equip students for living and working through change.
Author: Seweryn Spalek
Publisher: Taylor & Francis Group/CRC Press
ISBN: 1138307289
Category : Business & Economics
Languages : en
Pages : 11
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Book Description
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.
Author: Oliver Yarbrough
Publisher: For Dummies
ISBN: 9781119863182
Category : Business & Economics
Languages : en
Pages : 400
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Book Description
Make AI a little less alien The power of technology driven by artificial intelligence is creeping into the world of business. Now is not the time to sit back and watch how this new tech changes the world. Professional project managers especially can benefit from using AI to plan, initiatiate, and manage projects in a more informed and efficient manner. This book guides people who know project management through bringing artificial intelligence into their toolbox. Discover how to build an AI-powered project model, put it in action, and become a leader with this new technology. Inside... Getting to know what AI can do Setting expectations around AI Bringing AI pros into your management team Creating actionable plans with AI Applying AI to key project management steps Creating an AI-based project model Knowing when to put AI aside
