Using AI to Mitigate Biases and Risks...

Biases and lack of foresight in project management can lead to inaccurate predictions and costly delays. AI and Machine Learning (ML) provide a data-driven approach to mitigating these biases, using historical data and performance metrics to create a robust, unbiased risk model, improving the predictability of project schedules and enabling teams to focus on targeted mitigation strategies. With better insights into potential delays, teams can make informed decisions to accelerate project delivery, whether recovering from setbacks or proactively avoiding future ones.

Join Greg Lawton, an expert in capital project acceleration, as he explores how AI/ML-driven risk models are essential for achieving faster, more efficient project outcomes. Learn about key acceleration methodologies and formulas, showing how an unbiased, predictable risk model can lay the groundwork for effective project acceleration and success.

Speaker
Greg Lawton is the CEO and co-founder of Nodes & Links, a project intelligence and analysis platform that applies machine learning and automation to project data. The software outputs actionable insights to help teams simplify project complexity with intelligent automation. Prior to founding Nodes & Links, Greg was an astrophysicist working for BAE Systems, managing large defence programmes and advising the board of directors on international strategy. It was during his time at BAE that he realised there was a need for a tool that could simplify the lives of project control professionals by reducing manual tasks. Greg is focused on building a world-class product and ambitious team who are committed to driving innovation and pushing the boundaries of what is possible with project management technology.

1. Using AI to Mitigate Biases and Risks to Accelerate Project Delivery Greg Lawton CEO & Cofounder of Nodes & Links

2. I’m Greg Lawton . A [Physicist - turned - Project Manager’s] perspective.

3. Welcome to the era of AI . Things look different around here than they used to.

4. What will we go over today? What is bias? What is risk? What is AI? What is acceleration? Mitigate Biases and Risks with AI to Accelerate Project Delivery

5. Bias & Risk Accuracy Precision

6. What is bias? A systematic distortion of a statistical result due to a factor not allowed for in its derivation. “

7. Does bias exist?

8. How do you mitigate bias ? Analyse it 1

9. How do you mitigate bias ? Develop processes that force choices 2

10. How do you mitigate bias ? Just do something about it 3

11. What is risk? The probabilistic distribution of behaviour. “ Task duration Probability

12. Does risk exist?

13. < How do you mitigate risk ? Analyse it 1 Standard Deviation Curve Projects Poisson Distribution Curve

14. How do you mitigate risk ? Develop processes that force choices 2

15. How do you mitigate risk ? Just do something about it 3 RISK

16. A nalyse! Develop processes that force choices Do something about it How to mitigate bias and risk?

17. What is AI?

18. What is AI? AI is a machine’s ability to perform the cognitive functions we associate with human minds, such as perceiving, reasoning, learning, and problem-solving. “

19. My interpretation of AI AI is technology that automates human thought. The measure of how complex a piece of AI is how much it automates and how complex the thought is. “

20. How does AI mitigate bias ?

21. How does AI mitigate risk?

22. Why do we need to mitigate bias and risk? It gives us the ability to effectively accelerate projects.

23. What is acceleration?

24. Project Acceleration is different

25. There are 8 types of Project Acceleration

26. And each has a different measurement graph Acceleration Type Way of Measuring Fixed Many General S-Curve Fixed Many Specific Weighted Milestone Table Fixed One General Filtered S-Curve Fixed One Specific Milestone Chart Variable Many General Simulated S-Curve Variable Many Specific Weighted P-Curve Variable One General Filtered Simulated S-Curve Variable One Specific P-Curve

27. The Project Acceleration Equation Project Acceleration f [Task Information x Relationship Structure x Variability Factors x System Information] =

28. Grouping Acceleration Methodologies f [Task Information x Relationship Structure x Variability Factors x System Information] Path Crashing Uncertainty Risk System Info

29. What methods exist for acceleration? Path Crashing Uncertainty Risk System Info

30. Path Crashing Method Task shrinkage Task removal Link-Type Change Parallelism Changing relationships Path switching

31. Productivity alignment Deviation control Long-tail slicing Change control Relationship confirmation Uncertainty Control Method

32. Identifying risks Mitigating risk Schedule adjustments Risk Method

33. Calendar adjustments Resource optimization Sequencing changes System Information Method

34. What acceleration do you want? Establish baseline Pick the methodologies that apply Model for maximum impact Determine feasibility How do you accelerate projects? 1 2 3 4 5

35. AI will not replace a human. A person using AI will.

36. Develop algorithms to automate key scheduling tasks Teach AI how to put tasks together to do automate workflows Teach AI how to do the highest form of analysis The journey to AI powered project management 2025 Near future

37. Thank you . nodeslinks.com greg@ nodeslinks.com