S1E2030 May 2020

S1E20: Primavera & Online Learning with Plan Academy Founder Michael Lepage

S1E20

S1E20: Primavera & Online Learning with Plan Academy Founder Michael Lepage

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We meet with Plan Academy founder Michael LePage and talk about Primavera P6, Online learning and much more.

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S7E161:Planning in the Age of AI: Evolving Skills and Competencies for Project Professionals with Michael Lepage & Chirag Shah

Welcome to another exciting episode! In this edition, Dale engages in a captivating conversation with Michael Lepage & Chirag Shah, discussing the fascinating realm of planning, both in its current state and its future trajectory. While Val sadly couldn't be present, the discussion with Michael provides a wealth of insights on the disruptive nature of technology in the industry and the essential competencies required to thrive in this space. The conversation is further enriched by Chirag Shah, although some technical difficulties impacted the clarity of his microphone. Nevertheless, valuable snippets of Chirag's thoughts on recruitment, necessary skills for the present and future, and more can still be gleaned. As always, Michael shares his unique perspective on the current state of planning, particularly from his perspectives from North America to the UK. The profound impact of technology, particularly AI, on the planning profession is thoroughly explored. The privilege of meeting Michael face-to-face in person is gratefully acknowledged, and the absence of Val, as usual, is lamented. In conclusion, listeners are encouraged to stay tuned for more engaging episodes, showing their support by continuing to listen, like, and share the podcast with others. Keep the momentum going and let's pay it forward! Don't miss out on this enlightening episode filled with valuable insights into the world of planning and the transformative power of technology! Proudly brought to you by InEight www.InEight.com For more information visit www.ProjectChatterPodcast.com. #ProjectControls #ProjectPlanning

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S10E219: Why 88% of Schedules Fail, and What AI Still Can't Fix with Michael Pink

88% of project schedules don't follow best practice. So why are we so keen to feed that data into AI and trust the output? In this episode, Dale and Val are joined by Michael Pink, Founder of SmartPM, for a sharp conversation on the forensic side of delay and the state of AI in project controls. Mike has analysed hundreds of thousands of schedules and built a career on working out who delayed what, and why nobody could ever agree. His core message: clean data is not the same as honest data. A technically tidy schedule can tell you a story that never happened, and if you point AI at it, you don't get insight, you get a confident wrong answer at scale. What we cover: Mike's route into construction, from a study-abroad debt to KPMG's construction consulting group 25 years of change in the people and process side of scheduling The shift from reactive forensic work to proactive project controls Data honesty vs data quality, and why integrity is the combination of both (framing credited to Isaac Dyer and Carlos Sanchez) The 88% problem: missing logic, inflated float and moving dates The compression factor, and the exact point a schedule becomes infeasible Why a weekly update beats a monthly one, for almost no extra time P6 vs Microsoft Project, and grading schedule quality across 35 metrics Where LLMs genuinely help, and why quantitative AI is still the long game The future of the scheduler: less building and cleaning, more strategy A genuinely optimistic look at where the profession is heading, and why this might be the best time yet to be in project controls. This episode is proudly sponsored by nPlan.nPlan Summer AI Day 2026: Construction Superintelligence takes place in London on Thursday 25 June 2026, with a fireside featuring Peter Hancock, Project Director at National Grid, and Dima Pogorelsky, MD and Partner at BCG. February's event sold out with standing room only. Register here:https://www.nplan.io/events/nplan-summer-ai-day-2026-construction-superintelligence Connect with Michael Pink at https://www.smartpm.com or on LinkedIn. If you enjoyed this episode, help us pay it forward and share it. Stay safe, be disruptive, and have fun doing it.

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S6E134

S6E134: Does AI & Machine Learning really make a difference with Alan Mosca

In this week’s pod, we welcomed Alan Mosca to discuss whether machine learning and AI can really make a difference.Alan is the co-founder and CTO of nPlan, where he leads technology, research, and product, whilst developing thought leadership about forecasting and risk. Before nPlan, Alan spent 7 years as a technologist in quantitative finance, on live trading systems, research, and front-office in both high-frequency trading and asset management.Alan has extensive experience in algorithm design and software engineering and holds a BEng in Computer Engineering, MSc in Computer Science, and doctoral research in machine learning theory. The main topics we discussed on the podcast were as follows: Machine Learning (ML) is a sub-branch of AI although the terms are often used interchangeablyML is useful for spotting really complex patternsWhen approaching major projects, machine learning aims to capture the data and experienceThe aim is to make the data simple enough for business leaders to understandAutomation will rescue some project information by providing consistency on transactional actionsThe key to understanding how to make good decisions is to understand the process they are going through to make it (see double diamond process)“Go to their bus stop”!Machine Learning can not and will not fix cultural issues within projects and organisationsML/IA will not replace humans on projects, it can only be used to inform decision makers to improve performanceCritical Path Methodology was great when tools were not available to do multiple scenarios on activitiesUse the current version of the future to make the next version of the future betterCould projects start using a decision log and track the inputs used to inform the decisions? Here are links to some of the topics we discussed:·        Double Diamond Decision Process: https://www.designcouncil.org.uk/our-work/news-opinion/double-diamond-universally-accepted-depiction-design-process/·        Buyer Decision Process: https://www.iedunote.com/buyer-decision-process·        Cognitive Biases: https://thedecisionlab.com/biases·        Superforecasting: The Art and Science of Prediction Phillip Tetlock, Dan Gardner: https://www.amazon.co.uk/Superforecasting-Science-Prediction-Philip-Tetlock/dp/1847947158/ref=asc_df_1847947158/?tag=googshopuk-21&linkCode=df0&hvadid=310805565966&hvpos=&hvnetw=g&hvrand=12494366783115682348&hvpone=&hvptwo=&hvqmt=&hvdev=c&hvdvcmdl=&hvlocint=&hvlocphy=9045901&hvtargid=pla-454864998863&psc=1&th=1&psc=1·        nPlan Experimental Research Department:

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