
Project Flux
Project Flux is a pioneering podcast that explores the transformative impact of Artificial Intelligence across various industries, including construction, music, infrastructure, and life sciences, with a focus on revolutionising the project delivery profession. Each episode brings to light how AI is redefining efficiency, innovation, and strategic decision-making in project management. Through engaging conversations with industry leaders, technologists, and forward-thinkers, the podcast offers a comprehensive look at the challenges and opportunities AI introduces, the nuances of its integration, and its potential to reshape project delivery on a global scale.
Project Flux is the go-to resource for professionals seeking to navigate the evolving landscape of AI in project delivery, offering insights, strategies, and inspiration to harness the power of AI for a more innovative and effective future.
Project Flux
Is Your Project Set Up to Fail? Alexander Budzier on the Truth About Delivery
In this episode of the Project Flux podcast, we interview Alexander Budzier, a fellow in management practice at the University of Oxford.
They discuss the critical aspects of project management, particularly the reasons behind project failures and the potential of AI to enhance project delivery.
Budzier shares insights from his extensive research on project management, emphasising the importance of proper project setup, the challenges of data quality, and the evolving role of AI in the industry. The conversation also touches on the need for better knowledge sharing and the balance between human oversight and AI capabilities in project management.
Takeaways
- A well-set up project is not a guarantee for success, but a badly set up project is a guarantee for failure.
- Luck is not a leadership quality in project management.
- Data may be the new oil, but it can also be an oil spill if not managed properly.
- AI can help discover valuable insights from past projects.
- The uniqueness trap can lead to project overruns and failures.
- Improving how work gets done is essential for project success.
- The status quo in project management is not sufficient for future challenges.
- Measuring project outcomes effectively can lead to better decision-making.
- Knowledge sharing is crucial for project success and learning from past mistakes.
- AI can bridge the knowledge gap in project management.
Chapters
00:00 Introduction to Project Management Challenges
01:58 The Journey into Project Management
05:04 Understanding Project Failure
07:17 Comparing IT and Civil Engineering Projects
09:31 The Role of AI in Project Management
11:57 The Impact of Knowledge Preservation
14:56 Technical Debt in Project Management
17:04 AI's Potential in Data Management
19:26 Compliance and Regulation in Projects
21:11 Data Sharing Challenges in the Industry
24:54 Reflections on Progress in Project Management
25:19 Evolving Collaboration in Project Management
28:15 The Impact of AI on Project Delivery
37:24 Balancing AI Autonomy and Human Oversight
43:13 Key Lessons in Project Management
46:33 Introduction to Project Flux and Partnership
47:03 Future of Project Management Insights
47:16 Introduction and Sponsorship Highlights
47:39 Engagement and Community Building
Links and Stuff
Alexander's Linked In
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