Is PMBOK Guide the Right Fit for AI? Re-evaluating Project Management in the Face of Artificial Intelligence Projects

The artificial intelligence (AI) software market is undergoing rapid expansion. The potential of AI drives this growth to enhance efficiency, optimize decision-making, and foster innovation. An AI software project is an undertaking that aims to deliver a software product or service that embeds AI functionality to be used by humans or machines. This type of project differs significantly from traditional software projects and projects in general. These differences stem from several distinct features that are paramount to AI software development. The AI projects are inherently data-dependent and require iterative development cycles. Uncertainty and experimentation are also inherent to AI projects, as they deal with uncertain requirements and often seek the right solution through iterative hypothesis testing and refining to achieve desired outcomes. Additionally, AI software projects demand specialized expertise, such as knowledge of machine learning, as well as consideration of ethical aspects.
The Project Management Body of Knowledge (PMBOK) Guide provides principles and guidance for managing projects effectively. However, it does not necessarily address the unique needs of AI software projects. To address these differences, Alexey Burdakov, Ph.D., has written a paper that critically evaluates the applicability of the PMBOK Guide framework to Artificial Intelligence (AI) software projects, highlighting key limitations and proposing tailored adaptations.
Alexey Burdakov, Ph.D., is a seasoned technology leader specializing in AI-driven software development, IT project management, and health technology innovation. With a Ph.D. in Computer Science and certifications in PMP and ITIL, he has led large-scale, multi-million-dollar IT initiatives across multiple countries.
As the Program Manager for Intel® Geti™, he focuses on accelerating AI model development through intuitive computer vision solutions. His expertise spans AI, big data analytics, and Agile methodologies.Beyond his role at Intel, Alexey Burdakov co-founded Epilogica company, where he developed advanced epidemiological surveillance systems powered by AI, and ProRodinki, a health technology company dedicated to AI-driven early skin cancer detection. An accomplished researcher, Mr. Burdakov has authored over 50 scientific publications in Computer Science, contributing to distributed computing, machine learning, and database performance. He has also been an invited lecturer at a leading technical university, sharing his expertise with the next generation of IT professionals.
With a deep understanding of AI project challenges, Alexey Burdakov brings a practical and strategic perspective on tailoring the PMBOK Guide methodologies to ensure flexibility, innovation, and efficiency in AI project management.
Programme:
17.30 – 18:00 Registration and issue of name tags18:00 - 18:40 Presentation by Dr. Alexey Burdakov
18:40 – 19.00 Exchange and in-depth discussions
PDUs:
0.5 PDU for Ways of working0.5 PDU Power Skills
Contact: PMI English Events Munich
Informationen zur Veranstaltung
Beginn der Veranstaltung | 09.04.2025 18:00 |
Ende der Veranstaltung | 09.04.2025 19:00 |
Anmeldeschluss | 08.04.2025 23:00 |
Freie Plätze | 11 |
Veranstaltungsort | Ernst & Young, München |