Antonio Nieto-Rodriguez | How AI is disrupting Project Management - Opportunities and Challenges

Although AI is yet to be a standard tool in the world of projects, Gartner predicts that by 2030, 80 percent of project management tasks will be run by AI, powered by big data, machine learning, and natural language processing. When this next generation of tools is widely adopted, we will see radical changes in how projects are managed in many industries.

In this keynote, Antonio will discuss their featured new article on HBR about AI. In an engaging and future-oriented discussion, he will share six aspects of project management that AI will disrupt and how project managers can envision the future of work using AI and other emerging technologies.

The application of Artificial Intelligence in project management will bring significant benefits, not only in the automation of administrative and low-value tasks but even more critically, including AI and other disruptive technologies in your toolbox will help organization, its leaders, and project managers select, define and implement projects more successfully.

1. HowArtificial Intelligence
is Disrupting Project Management
Opportunities and Challenges
Antonio Nieto-Rodriguez

2. Teach Thought Leader
WorkLife

4. 0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1960
1970
1980
1990
2000
2010
2020
2030
2040
2050
2060
Resources / Budgets / Management Time
PROJECTS
Change the Organization
OPERATIONS
Run the Organization
World Driven by ChangeWorld Driven by Change
World Driven by EfficiencyWorld Driven by Efficiency

5. Project Economy -Major Disruptions
5
1
2
3
4
5
COO, Job Descriptions, PMO, Resource Allocation RIP
Prioritization and Focus on Strategy Implementation is key
Project Managers need generate Revenues/Value (faster)
It is not Waterfall or Agile; it is both and more
Need to develop new competencies, for all
PROJECTS
WORLD DRIVEN BY CHANGE
OPERATIONS

6. Organization
Agility &
Culture
25%
Senior
Leadership
25%
Project
Management
50%

7. ENGAGEMENT
BENEFITSQUALITY

8. Complexity
Low High
Uncertainty
HighLow
Project
Management
Program Management
Mega Projects
Continuous
Improvement
Agile Methods
Lean
Startup
Ideation
source: “HBR Project Management Handbook”, Antonio Nieto-Rodriguez, 2021
Implementation Toolbox

9. WHO
Executive Sponsor
Who is accountable for the success of
the project?
Governance
Who is responsible for what?
WHY
Purpose & Passion
“
Why” are we doing the project?
Rationale & Business Case
What are the expected Benefits?
WHAT, HOW & WHEN
Scope
What will the project produce and deliver?
Time
When will the project be completed?
Cost
How much will the project cost?
How many resources do we need ?
Quality
How do we ensure meeting the quality
standards?
Risk Management
Have the key risks been identified?
Do we have a plan B?
Procurement
How are we going to manage the external
contributors?
Human Resources
What skills do we need?
How are we going to keep the team
motivated?
Stakeholders
Are key and impacted parties supporting
the project?
Change Management
How are we going to engage the
stakeholders and remove barriers to
change?
WHERE
Project Driven Organization
Culture, Structure, Priorities, Competencies
Has our organization and culture been adapted to succeed in a project driven world?
PROJECT CANVAS

10. Technology and Project Management
A. MAPS B. GPS C. SELF DRIVING

11. a)20%
b)40%
c)60%
d)80%
e)100%
What percentage of the current Project
M
anagement
and PMO practices will be disrupted by Generative AI?

12. 12

13. 13
Aspects of Project
Management that Will
Be Disrupted

14. 6 Aspects of Project Management that Will Be Disrupted
1.Better selection and prioritization
2.Support for the project management office
3.Improved, faster project definition, scoping, and planning
4.Virtualproject assistants
5.Advancedtesting systems and software
6.Anew role for the project manager

15. 1. Better Selection And Prioritization
•Faster identification of launch-
ready projects that have the right
fundamentals in place
•Selection of projects that have
higher chances of successand
delivering the highest benefits
•A better balance in the project
portfolio and overview of risk in the
organization
•Removal of human biases from
decision-making
Source: hubgets.com

16. 16
AI Predictor -Examples
Project Probability(%)Ranking
Isao Kobayashi 98,96 1
Yuusuke Igarashi 98,30 2
CHAN KAH CHEE 97,26 3
Kosam Nyamdela 96,95 4
Peter 96,19 5
Alexandra Hunt 94,88 6
Chinedu Mbonu 93,17 7
Tebogo MATLHARE 91,12 8
Khalid 89,64 9
Harding Leite 83,69 10
Mannon Malo 73,51 11
Anette Smith 67,30 12
Les Howell 31,47 13
Iain Malloy 30,07 14
Sarah Fosgitt 27,86 15
Paul 27,77 16
Diogo Magalhaes 21,14 17
Alicia Ramón 7,67 18
[email protected] 3,21 19
Rick Heck 1,59 20
PORTFOLIO ASSESSMENT
PROJECtASSESSMENT

17. 2. Support For The Project Management Office
•Better monitoring of project progress
•Anticipate potential problems and
address some simple ones automatically
•Automated preparation and distribution
of project reports, and gathering of
feedback
•Greater sophistication in selecting the
best methodology for each project
•Compliancewith processes and policies
Source: cio.com

18. 3. Improved, Faster Project Definition, Scoping And Planning
•Improved project scoping by
automating the collection and
analysis of user stories
•Tools to facilitate scheduling
processes and draft detailed plans
and resource demands
•Automated planningthat is
produced with less laborwill
replace today’s status reports —
often weeks old —with real-time
data.
Source: sanet.ws

19. 4. VirtualProject Assistants
19
The AI assistant learns
from past time entries,
project planning data, and
the context to tailor
interactions and smartly
capture critical project
information.

20. 5. AdvancedTesting Systems And Software
•Advanced and automated system
testing solutionsfor software
projects will soon allow early
detection of defects and self-
correcting processes.
•This will significantly reduce time
spent on cumbersome testing
activities, reduce the number of
reworks, and ultimately, deliver
easy-to-use and bug-free solutions.
Source: harbinger-systems.com

21. 6. ANew Role For The Project Manager
•Project managers will not be going away,
but they will need to embrace these changes
and take advantage of the new technologies
•They must cultivate strong, soft skills,
leadership capabilities, strategic thinking,
and business acumen.
•They must focus on delivering the expected
benefitsand aligning with stakeholder goals.
•They will also need a good understanding of
these technologies.
Source: projectmanagement.ie

22. a)Better selection and prioritization
b)Support for the project management office
c)Improved, faster project definition, scoping and planning
d)Virtualproject assistants
e)Advancedtesting systems and software
f)Other
Which project management area will be most
disrupted by AI?

23. Areas Where Generative AI will Impact Project Management
Run
Hand
Over
Implementation
(monitoring, reporting, testing)
Planning
Initiation
BenefitsBenefits
Ideation
23
Machine L
Selection
Machine L
Scoping
Big Data
Plan
Automation
Follow-up
Reporting
Bots
Support
Advice
Early DevelopmentsProven Results Not much progress

24. 10% 80% 10%
YOU YOU

26. A Coffee Shop Run by a Robot Barista Arrives in Brooklyn

27. AI Avatars will Join and Facilitate project meetings for You

28. NeuralinkImplants Brain Chip in First Human

29. AI will Make the Metaverse a More Interactive Space

30. 30

31. IA Project Manager Certification & Research
Téléchargerunecopie
gratuite
Téléchargerunecopie
gratuite

32. www.antonionietorodriguez.com
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