AI in the project profession: examples of current use and roadmaps to adoption webinar
Wednesday 27 March 2024
Association for Project Management
Speaker panel:
Andy Murray, James White, James Garner, Karina Singh and Alex Robertson
The link to the write up page and resources of this webinar:
https://www.apm.org.uk/news/ai-in-the-project-profession-examples-of-current-use-and-roadmaps-to-adoption-webinar/
Content description:
Disruptive technology and accelerating change is the now the norm within business. Advancements that feel relatively recent are already becoming embedded into business-as-usual activity. AI is one such advancement; it is already being used and having real-world impacts across the project profession.
To help P3M professionals understand the implications of this change, APM invited representatives from organisations that have introduced or are preparing to introduce AI into their project workstreams, to explain their approach and share their insight with fellow professionals.
This webinar on explored how AI is currently being used in project and programme management, and how organisations are gearing up for its adoption.
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
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
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
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
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
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.
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
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