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AI in the project profession:
examples of current use
and roadmaps to adoption
Andy Murray, James White, James Garner,
Karina Singh and Alexander Robertson
Wednesday 27 March 2024
#apmwebinar
Next
Andy Murray
Executive Director
Major Projects Association
Next
James White
Head of Nuclear, Principal Delivery
Manager
MIGSO-PCUBED
Motivations, Challenges, Solutions
Reducing cost, increasing project success
Late running or
overspending
projects
Recurring delivery
issues
Siloed project
management
Challenges
Course correction
and improved
project delivery
Transform
persistent
challenges
Minimum
project
management
standards
Traditional
Solutions
Project forecasting
informed by robust
prediction
Prioritised
intervention and
improved project
selection
Integrated
systems with
high data
maturity
Augmented
Solutions
Enabled early risk detection and intervention
to ensure improved ROI
Case study - Investing to unlock savings
Start
Budget
Predicted
becomes Actuals (96%
prediction accuracy)
Forecast
Potential
saving
(18%)
Time
Finish
Predicted deviation from
forecast enables early
intervention
Actuals deviate from
forecast, later
intervention means
impact to cost & time
Cost
Predicted Actual
19% vs Budget
Next
James Garner
Global Head of Data, Insights & Analytics
Gleeds Cost Management Limited
Part 1 – Looking to the future
AI in the Project Profession
Are you ready for it?
Examples of current use and roadmaps to adoption
With you today…
James Garner
• Head of Digital Innovation
and Operations at Gleeds
• Chair of Project Data
Analytics Taskforce
• Member of RICS
Construction Professional
Group Panel
• Author of Project Flux AI
in Project Delivery
Newsletter
T: 07957464880
E: james.garner@gleeds.com
LI:
https://www.linkedin.com
/in/james-garner
"Artificial intelligence
will have a more
profound impact on
humanity than fire,
electricity and the
internet."
Sundar Pichai, the CEO of Alphabet​
Examples of AI in
Use
Diagnostic
Analytics
Descriptive
Analytics
Predictive
Analytics
Prescriptive
Analytics
Difficulty
Value
What
happened?
Why did it
happen?
What will
happen?
How can we
make it happen?
REAL TIME DATA DRIVEN DECISIONS
What is generative AI?
Generative AI is artificial intelligence that generates content, such as text, image or audio
Chatbots Dall E-3 & Mid Journey Music LM
What is generative AI?
Some real life examples
Graphic Design
Architecture &
Engineering Office tasks
What is generative AI?
Architecture &
Engineering
Using ML to
update schedule
estimates and
identify areas
predisposed to
variance
MATERIAL PRICE
CHECKER
Intelligence GPT
Motion – AI
powered
Calendar
Planning
Proliferating at pace
..and changing the game
..Do you understand it? Can you
trust it?
How can you leverage it?
Gleeds Data Academy – Improving our
peoples data literacy
Watch out for 2024
enrolment coming soon
Yogi > Home > Support Hub > Gleeds Digital > Intelligence > Upskill
Karina Singh
Director of Function, Profession and
Standards
Infrastructure and Projects Authority (IPA)
in the Cabinet Office
Next
Infrastructure and Projects Authority
Infrastructure and Projects Authority
Creating the conditions for success
Government and our partners will collaborate to create the right conditions for innovation to thrive and
ensure that success is shared at scale across the projects ecosystem.
Our efforts will be focused around five priority themes:
Data skills and capability at scale
Better data and availability
Evidence-based decision making
Experimenting together
Data Partnerships
Equipping people with the skills to harness the power of data
Establishing standards for FAIR data in project delivery
Using project data to drive insight and improve decision making
Adopting, managing and scaling innovation
Collaborating across government, professional bodies, industry and academia
25
Next
Alex Robertson
Digital and Innovation Lead
Petrofac
26
STEP MATURITY OUTCOME
1 CORE SYSTEMS
> How we build the foundation for consistent and predictable
delivery systems
2 INTEGRATION
> How we enable an integrated delivery model
> How we understand all our single source of data truths
> How we prevent human error in reporting
3 BUSINESS
INTELLIGENCE
> How we get any information, at any time, within 3 clicks
> How we communicate to our stakeholders
> How we benchmark, govern and assure our projects
> How we deploy analytical dashboarding and reporting
4 AUTOMATED
PERFORMANCE
> How we set performance expectations with our people
> How we trigger BI insights into meaningful actions
> How we assure ourselves that the right person is taking the right
action at the right time
5 INTELLIGENT
PERFORMANCE
> How we use AI/ML to better predict future events and likelihoods
> How we improve our insights and actions
> How we maximise our performance and predictability
PREDICTABILITY
PERFORMANCE
AND
VALUE
27
Next
James Garner
Global Head of Data, Insights & Analytics
Gleeds Cost Management Limited
Part 2
The PDA Task Force
manifesto and vision
(building on IPA paper
and for all projects)
1.Pillar One: AI Ecosystem:
1. Boost data and computing resource access.
2. R&D tax relief expansion and AI education investment.
2.Pillar Two: AI in All Sectors:
1. Promote AI commercialisation and broad adoption.
2. Sector-specific AI strategies and public sector support.
3.Pillar Three: AI Governance:
1. Develop governance frameworks and standards.
2. Focus on AI Assurance Roadmap and global collaboration.
4.Overall Objective:
1. Establish the UK as a global AI leader.
2. Ensure equitable AI benefits across sectors and regions.
5.Future Focus:
1. Continue AI investment in education and infrastructure.
2. Formulate a White Paper on AI governance.
Getting started
Thank you
James Garner
Global Head of Data,
Insights & Analytics
T: 0207 6317435
E: james.garner@gleeds.com
LI:
https://www.linkedin.com
/in/james-garner
Project Flux Newsletter –
Subscribe for Free

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AI in the project profession: examples of current use and roadmaps to adoption, 27 March 2024

  • 1. AI in the project profession: examples of current use and roadmaps to adoption Andy Murray, James White, James Garner, Karina Singh and Alexander Robertson Wednesday 27 March 2024 #apmwebinar
  • 3. Next James White Head of Nuclear, Principal Delivery Manager MIGSO-PCUBED
  • 4. Motivations, Challenges, Solutions Reducing cost, increasing project success Late running or overspending projects Recurring delivery issues Siloed project management Challenges Course correction and improved project delivery Transform persistent challenges Minimum project management standards Traditional Solutions Project forecasting informed by robust prediction Prioritised intervention and improved project selection Integrated systems with high data maturity Augmented Solutions
  • 5. Enabled early risk detection and intervention to ensure improved ROI Case study - Investing to unlock savings Start Budget Predicted becomes Actuals (96% prediction accuracy) Forecast Potential saving (18%) Time Finish Predicted deviation from forecast enables early intervention Actuals deviate from forecast, later intervention means impact to cost & time Cost Predicted Actual 19% vs Budget
  • 6. Next James Garner Global Head of Data, Insights & Analytics Gleeds Cost Management Limited Part 1 – Looking to the future
  • 7. AI in the Project Profession Are you ready for it? Examples of current use and roadmaps to adoption
  • 8. With you today… James Garner • Head of Digital Innovation and Operations at Gleeds • Chair of Project Data Analytics Taskforce • Member of RICS Construction Professional Group Panel • Author of Project Flux AI in Project Delivery Newsletter T: 07957464880 E: james.garner@gleeds.com LI: https://www.linkedin.com /in/james-garner
  • 9. "Artificial intelligence will have a more profound impact on humanity than fire, electricity and the internet." Sundar Pichai, the CEO of Alphabet​
  • 10. Examples of AI in Use
  • 12. What is generative AI? Generative AI is artificial intelligence that generates content, such as text, image or audio Chatbots Dall E-3 & Mid Journey Music LM
  • 13. What is generative AI? Some real life examples Graphic Design Architecture & Engineering Office tasks
  • 14. What is generative AI? Architecture & Engineering
  • 15. Using ML to update schedule estimates and identify areas predisposed to variance
  • 19.
  • 20. Proliferating at pace ..and changing the game ..Do you understand it? Can you trust it? How can you leverage it?
  • 21.
  • 22. Gleeds Data Academy – Improving our peoples data literacy Watch out for 2024 enrolment coming soon Yogi > Home > Support Hub > Gleeds Digital > Intelligence > Upskill
  • 23. Karina Singh Director of Function, Profession and Standards Infrastructure and Projects Authority (IPA) in the Cabinet Office Next
  • 24. Infrastructure and Projects Authority Infrastructure and Projects Authority Creating the conditions for success Government and our partners will collaborate to create the right conditions for innovation to thrive and ensure that success is shared at scale across the projects ecosystem. Our efforts will be focused around five priority themes: Data skills and capability at scale Better data and availability Evidence-based decision making Experimenting together Data Partnerships Equipping people with the skills to harness the power of data Establishing standards for FAIR data in project delivery Using project data to drive insight and improve decision making Adopting, managing and scaling innovation Collaborating across government, professional bodies, industry and academia
  • 25. 25 Next Alex Robertson Digital and Innovation Lead Petrofac
  • 26. 26 STEP MATURITY OUTCOME 1 CORE SYSTEMS > How we build the foundation for consistent and predictable delivery systems 2 INTEGRATION > How we enable an integrated delivery model > How we understand all our single source of data truths > How we prevent human error in reporting 3 BUSINESS INTELLIGENCE > How we get any information, at any time, within 3 clicks > How we communicate to our stakeholders > How we benchmark, govern and assure our projects > How we deploy analytical dashboarding and reporting 4 AUTOMATED PERFORMANCE > How we set performance expectations with our people > How we trigger BI insights into meaningful actions > How we assure ourselves that the right person is taking the right action at the right time 5 INTELLIGENT PERFORMANCE > How we use AI/ML to better predict future events and likelihoods > How we improve our insights and actions > How we maximise our performance and predictability PREDICTABILITY PERFORMANCE AND VALUE
  • 27. 27 Next James Garner Global Head of Data, Insights & Analytics Gleeds Cost Management Limited Part 2
  • 28. The PDA Task Force manifesto and vision (building on IPA paper and for all projects)
  • 29. 1.Pillar One: AI Ecosystem: 1. Boost data and computing resource access. 2. R&D tax relief expansion and AI education investment. 2.Pillar Two: AI in All Sectors: 1. Promote AI commercialisation and broad adoption. 2. Sector-specific AI strategies and public sector support. 3.Pillar Three: AI Governance: 1. Develop governance frameworks and standards. 2. Focus on AI Assurance Roadmap and global collaboration. 4.Overall Objective: 1. Establish the UK as a global AI leader. 2. Ensure equitable AI benefits across sectors and regions. 5.Future Focus: 1. Continue AI investment in education and infrastructure. 2. Formulate a White Paper on AI governance.
  • 30.
  • 31.
  • 32.
  • 34. Thank you James Garner Global Head of Data, Insights & Analytics T: 0207 6317435 E: james.garner@gleeds.com LI: https://www.linkedin.com /in/james-garner Project Flux Newsletter – Subscribe for Free