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Use AI To Measure What Really Matters

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Manage episode 523846174 series 3567994
Content provided by Project Flux. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Project Flux or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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Summary
In this episode of the Project Flux podcast, hosts discuss the importance of measuring uncertainty in project management with authors Doug Hubbard and Andreas Leed. They explore the challenges faced in different industries, the role of AI in improving project outcomes, and the need for a quantitative approach to decision-making. The conversation emphasizes the human element in project management, the necessity of adapting to emerging technologies, and the future implications of AI on jobs and project management practices.

Takeaways

  • Measuring uncertainty can lead to better project decisions.
  • AI can enhance project management through simulations and data analysis.
  • Fewer projects with bigger returns are preferable.
  • Risk matrices are ineffective and should be replaced with quantitative measures.
  • Human involvement is crucial in AI-driven project management.
  • Emerging technologies require adaptive project strategies.
  • The economic value of measurement is tied to the effort put in.
  • Understanding change is key to managing projects effectively.
  • AI can help identify risks and improve decision-making processes.
  • The future of project management will involve significant changes due to AI.

Chapters

  1. 00:00 Introduction to Project Management Measurement
  2. 02:45 The Importance of Measuring Uncertainty
  3. 05:34 Industry-Specific Challenges in Project Management
  4. 08:10 The Role of AI in Project Management
  5. 10:37 Decision-Making and Risk Analysis
  6. 13:29 Emerging Technologies and Their Impact
  7. 15:59 The Future of Measurement in Project Management
  8. 18:43 Understanding Statistical Significance
  9. 21:32 Benchmarking and Its Implications
  10. 24:06 Reference Class Forecasting and AI
  11. 27:00 Emergent Behavior in Complex Systems
  12. 29:31 Understanding Emergent Behavior in Projects
  13. 32:16 The Measurement Inversion in Project Management
  14. 34:51 AI Agents and the Future of Project Management
  15. 38:29 Rethinking Human Roles in an AI-Driven World
  16. 45:56 Preparing for the Future: AI Safety and Workforce Changes
  17. 50:01 Unleash the Code 1 Second.mp3

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Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter!

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Project Data Analytics Taskforce site

  continue reading

121 episodes

Artwork
iconShare
 
Manage episode 523846174 series 3567994
Content provided by Project Flux. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Project Flux or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

Summary
In this episode of the Project Flux podcast, hosts discuss the importance of measuring uncertainty in project management with authors Doug Hubbard and Andreas Leed. They explore the challenges faced in different industries, the role of AI in improving project outcomes, and the need for a quantitative approach to decision-making. The conversation emphasizes the human element in project management, the necessity of adapting to emerging technologies, and the future implications of AI on jobs and project management practices.

Takeaways

  • Measuring uncertainty can lead to better project decisions.
  • AI can enhance project management through simulations and data analysis.
  • Fewer projects with bigger returns are preferable.
  • Risk matrices are ineffective and should be replaced with quantitative measures.
  • Human involvement is crucial in AI-driven project management.
  • Emerging technologies require adaptive project strategies.
  • The economic value of measurement is tied to the effort put in.
  • Understanding change is key to managing projects effectively.
  • AI can help identify risks and improve decision-making processes.
  • The future of project management will involve significant changes due to AI.

Chapters

  1. 00:00 Introduction to Project Management Measurement
  2. 02:45 The Importance of Measuring Uncertainty
  3. 05:34 Industry-Specific Challenges in Project Management
  4. 08:10 The Role of AI in Project Management
  5. 10:37 Decision-Making and Risk Analysis
  6. 13:29 Emerging Technologies and Their Impact
  7. 15:59 The Future of Measurement in Project Management
  8. 18:43 Understanding Statistical Significance
  9. 21:32 Benchmarking and Its Implications
  10. 24:06 Reference Class Forecasting and AI
  11. 27:00 Emergent Behavior in Complex Systems
  12. 29:31 Understanding Emergent Behavior in Projects
  13. 32:16 The Measurement Inversion in Project Management
  14. 34:51 AI Agents and the Future of Project Management
  15. 38:29 Rethinking Human Roles in an AI-Driven World
  16. 45:56 Preparing for the Future: AI Safety and Workforce Changes
  17. 50:01 Unleash the Code 1 Second.mp3

Link and Stuff

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter!

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter
Project Data Analytics Taskforce site

  continue reading

121 episodes

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