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Abstract The integration of ArtificialIntelligence (AI) into project management is revolutionizing traditional practices, bringing about profound changes in how projects are planned, executed, and monitored. His doctoral research explored factors that contribute to project complexity and proposed a model to manage complexity.
ArtificialIntelligence: Tool, Friend, or Enemy? This whitepaper explores the multifaceted nature of AI, examining its potential as a tool for progress, a friend enhancing human capabilities, and a potential adversary if not carefully managed. Or is it a mix of them depending on the situation and application?
However, as project management methodologies expanded to encompass diverse project types, such as those demanding creativity, innovation, and unclear scopes, flexible approaches like Agile and Hybrid emerged. She has over 25 years of experience in research, organizational innovation, design, adaptation, and benefit realization.
Integrating ArtificialIntelligence into Agile Project Management By Dr. Leon Herszon, Ph.D. Abstract This WhitePaper provides an overview into how ArtificialIntelligence is reshaping agile project management. He is also an Adjunct Professor at the prestigious Rutgers Business School.
She has over 25 years of experience in research, organizational innovation, design, adaptation, and benefit realization. Dr. Farrow is a published author, and her doctoral research explored the implications of ArtificialIntelligence on organizational futures. and Elissa Farrow, Ph.D. and Elissa Farrow, Ph.D.
The Impact of ArtificialIntelligence in Project Management: A Survey By Dr. Elissa Farrow, Ph.D. & Abstract The integration of ArtificialIntelligence (AI) into project management is revolutionizing traditional practices, bringing about profound changes in how projects are planned, executed, and monitored.
The Impact of ArtificialIntelligence on Stakeholder Relations Management Practices By Harold Kerzner, Ph.D. She has over 25 years of experience in research, organizational innovation, design, adaptation, and benefit realization. and Elissa Farrow, Ph.D.
Abstract In today’s rapidly evolving technological landscape, the adoption of ArtificialIntelligence (AI) is not just an advantage but a necessity for organizations aiming to remain competitive. This whitepaper presents IIL Consulting’s structured, four-step approach to accelerating AI adoption.
Andreou, 3rd ArtificialIntelligence Techniques in Software Engineering Workshop , 7 October, 2010, Larnaca, Cyprus. An Effort Estimation Model for Agile Software Development,” Shahid Ziauddin, Kamal Tipu, Shahrukh Zia, Advances in Computer Science and its Applications (ACSA) 314 Vol. white–papers/metrics–for–agile–projects.pdf.
“Benchmarking Effort Estimation Models Using Archetypal Analysis,” Nikolaos Mittas, Vagia Karpenisi, and Lefteris Angelis, ACM PROMIS ’14, September 17, 2014. Effort Estimation for Mobile Applications Using Use Case Point (UCP),” Anureet Kaur and Kulwant Kaur, Smart Innovations in Communication and Computational Sciences.
Some of these strategies I will outline in this whitepaper would be considered by many people leaders to be outliers. Organisational context, mission values, and operating model will mean that these strategies are aligned to purpose or not. So, let’s start rolling….
How will AI/machinelearning affect the role of a project manager and skill sets needed? I wrote a whitepaper for IIL on Benefits Realization and Value Management. Bridging adaptive and innovative problem-solving styles trumps culture. I wrote a blog last year on AI and Project Management. I agree with you.
In this whitepaper, we explore ten futuristic strategies of engaging staff we might see emerge over the next 20 years. Senior Consultant and Facilitator International Institute of Learning Dr. She has over 25 years of experience in research, organizational innovation, design, adaptation, and benefit realization.
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