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This conversation explores the findings of the Digital Transformation in Project Management Report, focusing on the impact of AI on project management practices, the cultural shifts required for successful implementation, and the importance of data quality and governance.

The discussion highlights the challenges organisations face in adopting AI, the need for a hybrid approach that combines technical and interpersonal skills, and the critical role of trust and accountability in leveraging AI effectively. The participants emphasise the importance of empirical data in understanding the real-world implications of AI in project management and the ongoing evolution of the profession in response to technological advancements.
Takeaways

• AI is reshaping project management practices and roles.
• Cultural shifts are necessary for successful AI implementation.
• Data quality is crucial for effective AI use.
• Governance frameworks are needed to manage AI tools responsibly.
• Trust and accountability are key issues in AI adoption.
• A hybrid approach combining technical and interpersonal skills is essential.
• Empirical data provides valuable insights into AI's impact.
• Organizations must address resistance to change for successful transformation.
• AI can improve on-time delivery and project quality.
• The future of project management will involve continuous adaptation to AI advancements.

Chapters
00:00 Exploring the AI Landscape in Project Management
13:31 Understanding the Impact of AI on Project Delivery
20:57 Governance and Challenges in AI Implementation
26:01 Bridging the Gap: From Benchmarks to Real-World Applications
29:30 Bridging Digital Ambition and Operational Reality
31:18 Understanding the Performance Measurement Gap
32:43 The Role of AI in Project Management
36:05 The Need for Organizational Change
37:54 Reshaping Mindsets in Project Management
42:35 Uncomfortable Truths in AI and Project Management
48:55 The Future of Project Management with AI
Links

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Hao Dong Linked In

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