Kai-Fu Lee predicted that AI would change the world more than anything in the history of humanity – even electricity. It would disrupt how we live and work, how we operate our businesses, the core products and services on offer and the way in which we build technology.
However, in 2024 the impact of AI can no longer be discussed in future tense. With Microsoft copilot now publicly available, the change is already upon us. There is no consultation period or ‘unsubscribe’ button.
Project management professionals are likely to be asked to manage AI projects - and we are expected to skilfully use AI in our daily work lives. While overwhelming, this is not the first time we’ve had to adapt.
Sarah helps her audience sharpen their cutting-edge skills by answering:
What do I need to know about AI right now?
If I’m asked to work on an AI project, what techniques do I need to be successful?
Where do I start my own learning journey to upskill and prepare?
Sarah’s expertise in advanced agile and experience in highly regulated Finance environments give her a unique perspective into balancing governance with technical innovation. She uses her own experience building an AI solution in 2023 to share practical, widely applicable concepts in an “AI for project managers” 101 style session.
2. Project & program management
Team & portfolio level
Digital innovation
Waterfall & hybrid
Expertise
1
Software & data projects
International teams
AWS, Azure, Mobile Apps
Power Platform Suite
Experience
3
PSM II , PSPO III, SPC
Lean Six Sigma (Green Belt)
BHons in Financial Economics
Qualifications
Pensions
Asset management
Insurance
Private equity
Industry
2
4
Sarah Reed
3. 3,300+
EMPLOYEES
325M$
TURNOVER
30+
YEARS OF EXPERIENCE
40+
LOCATIONS WORLDWIDE
INDUSTRIES
AEROSPACE & DEFENCE
ENERGY, RESOURCES & LIFE SCIENCES
AUTOMOTIVE & TRANSPORTATION
PUBLIC SECTOR
FINANCIAL SERVICES & TECHNOLOGY
MIGSO-PCUBED
is part of the ALTEN Group, a leading
technology consulting and engineering
company with 55,000 employees &
4,144M$ turnover
MIGSO-PCUBED is the world’s largest programme and
project management consultancy uniquely focused on
Delivery & Change Management..
4
2 3
1 5 6 7 8 9 10
IOG
TOP CLIENTS
RECOGNITION
PEOPLE & QUALITY
4.
5. Stiffy disk
Disposable
Modem Radio Capacitor
Technical
revolution is
normal
Digital
photography
Broadband
wireless internet
Information
communication
Electricity
Cloud
technology
Game: Name the artifact
6. Future shock
Unintended consequences
ESG risk
Hybrid
Build
Buy
How AI projects/programs are different
Dawn Mahan & John Hack
18 Sep 2023
https://www.apm.org.uk/news/artificial-intelligence-projects-how-they-re-different-and-what-you-need-to-know-to-succeed-webinar
8. How technical value is created
“Forget artificial intelligence – in the brave new world of
big data, it’s artificial idiocy we should be looking out for.”
– Tom Chatfield, Author, and Tech Philosopher
What business value is created
How business value is created
“Algorithms tuned by an average engineer can outperform those built by the world’s
leading experts if the average engineer has access to far more data.” ― Kai-Fu
Lee, AI Superpowers: China, Silicon Valley, and the New World Order
What technical value is created
“By far, the greatest danger of Artificial Intelligence is that people conclude
too early that they understand it.” – Eliezer Yudkowsky, co-founder and
research fellow at the Machine Intelligence Research Institute
Experience
Qualitative data & metadata capture
Information management with integration
Automation & prepopulated templates
The silent disruptor
“... And summarize the notes using AI”
“… And predict future trends using AI”
“… And create a chatbot using AI”
AI projects/programs change
https://omniplexguide.com/blog/digital-adoption/technology-adoption-curve-stages/
9. Top tips
Build data,
not AI
Set & manage
expectations
Use research project
techniques
Design & secure
Minimum viable
bureaucracy
10. Mindset
Embrace with passion, as
often as possible
Promote whenever
possible
Be careful, and don’t take
it too far
Keep these values in
mind, but do both
Boost
Understanding the problem over thinking
of solutions
Simplicity over perfection
Balance
People & interactions over
processes & tools
Measuring results over
assuming impact
Believe
Pursuing goals & responding to
change over executing a project plan
End-user needs over stakeholder
opinions
Beware
Collaboration over
contract negotiation
Working functionality
over documentation
11. Free learning pathway
Understand theoretically
Use practically
Think philosophically
Experiment playfully
Google Cloud: Intro to Gen AI (30mins)
LinkedIn Learning: Intro to AI (42mins)
Data Camp: Intro to GenAI (1 hour)
PMI: Gen AI for Project Managers (4hours)
Coursera: GenAI for Everyone (4hours)
1 hour per week for 3 weeks & free)
Microsoft Copilot Demo (11mins)
LinkedIn Learning: How to use Copilot (35mins)
Data camp: Intro to ChatGPT (1 hour)
AWS: Gen AI for Decision-makers (3 hours)
Coursera: AI fundamentals for non-data-scientists (7 hours)
Google with Coursera: Responsible AI
(8hours)
ChatGPT
Human or not
AI emoji generator
AI voice overs
What is an AI project? What could I be working on? Part of a program of work.
AI to predict which companies to buy/sell & market trends.
AI to build their technology. Play the ChatGPT demo video.
Assign a risk rating to how AI will influence the companies they buy & sell. Not sure yet.
Silent disruptor. About the project.
Manage expectations
1. To the providers offering. No workarounds. Meet requirements as possible.
2. Define Acceptance tests/Success measures as to what is “good enough” otherwise go forever.
Invest in the data – build business case & requirements on it.
Bigger data sets & data spreads require bigger investments.
Use research project techniques
Shortest possible learning cycles
Pivot without considering sunk costs
Go/No go. Timeboxes. What happened, why this would have helped.