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OverviewIn 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 revolutionise how we manage projects. Samples Preview sample pages from The AI Revolution in Project Management: Elevating Productivity with Generative AI > 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. Full Product DetailsAuthor: Vijay Kanabar , Jason WongPublisher: Pearson Education (US) Imprint: Addison Wesley Dimensions: Width: 15.50cm , Height: 0.20cm , Length: 23.00cm Weight: 0.578kg ISBN: 9780138297336ISBN 10: 0138297339 Pages: 400 Publication Date: 22 December 2023 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsChapter 1 Dawn of A New Era Chapter 2 Stakeholders and Generative AI Chapter 3 Building and Managing Teams Using AI Chapter 4 Choosing A Development Approach With AI Chapter 5 AI-Assisted Planning for Predictive Projects Chapter 6 Adaptive Projects and AI Chapter 7 Monitoring Project Work Performance With AI Chapter 8 The Role of AI In Risk Management Chapter 9 Finalizing Projects with AI Chapter 10 AI Tools for Project Management Chapter 11 Looking AheadReviewsAuthor InformationDr. Vijay Kanabar is an associate professor and the director of Project Management Programs at Boston University's Metropolitan College. In recognition of his outstanding contributions to the field, he was honored with the PMI Linn Stuckenbruck Teaching Excellence Award in 2017. He has a track record of advising organisations such as Blue Cross Blue Shield, Staples, United Way, and Fidelity Investments on training and technology needs. As a distinguished author, he delved into AI research three decades ago, developing AI expert systems that aided project practitioners in cost estimation. Additionally, he holds certifications such as PMP, PMI-ACP, and CSM. Jason Wong is an IT leader at a Boston-based hospital and an adjunct professor at Boston University, where he teaches project, program, and portfolio management and shares his profound understanding of generative AI with students, guiding them to master the methods necessary for developing generative AI systems. He imparts his deep knowledge of generative AI to students, ensuring they grasp both the foundational concepts and advanced techniques essential for creating cutting-edge artificial intelligence models. He lends his expertise as a practitioner in leading, managing, and overseeing diverse IT projects and products, with a specialised focus on electronic health records (EHR) and picture archiving and communications systems (PACS). He holds a masters in computer information systems and is a certified PMP, PMI-ACP, and CSPO. Tab Content 6Author Website:Countries AvailableAll regions |