Artificial Intelligence in Project Management Webinar Ricardo Vargas and Antonio Nieto-Rodrigues
Summary
TLDRIn this insightful discussion, Antonio Nieto-Rodriguez and Ricardo Vargas explore how AI will disrupt traditional project management practices. They delve into areas where AI can significantly impact project selection, prioritization, planning, reporting, testing, and redefining the project manager's role. Through interactive polls and thought-provoking questions, they engage the audience in envisioning a future where AI augments human capabilities, emphasizing the need to embrace this technological shift. The session culminates with an exciting proposal for a masterclass that combines cutting-edge AI concepts with hands-on project management training, aiming to equip professionals with the skills to thrive in this transformative era.
Takeaways
- 👨💻 AI and machine learning are expected to significantly disrupt and automate many aspects of project management, including selection/prioritization, planning, reporting, and testing.
- 📊 Polls conducted during the discussion indicated that most attendees believe 40-60% of current project management practices could be taken over by AI in the near future.
- 🤖 AI can provide predictive insights, automated planning, virtual assistance, and advanced testing capabilities to streamline project workflows.
- 🧠 While AI can handle many administrative and operational tasks, human project managers will still play a crucial role in strategic decision-making, stakeholder management, and leadership.
- 📈 Embracing AI is seen as an opportunity to offload tedious tasks and focus on higher-value activities, potentially improving project success rates.
- 💡 The presenters envision developing a comprehensive "masterclass" on leveraging AI in project management, partnering with business schools for accreditation.
- 📂 Data quality and cleansing remain significant challenges for effective AI implementation, though newer AI techniques can help fill data gaps.
- 🔄 AI's impact is expected to extend to agile methodologies, potentially automating portions of the development lifecycle.
- ⚠️ Addressing AI bias and ethical considerations is crucial to ensure fair and unbiased decision-making processes.
- 🌐 The discussion generated numerous thought-provoking questions from attendees, highlighting the need for further exploration and research in this rapidly evolving field.
Q & A
What are the main areas of project management that are expected to be disrupted by AI according to the speakers?
-The speakers highlighted six main areas that they believe will be disrupted by AI: 1) Better selection and prioritization of projects, 2) Support for project management offices, 3) Improved and faster project planning and reporting, 4) Virtual project assistance, 5) Advanced testing systems and software, and 6) The role of project managers itself.
How can AI help in selecting and prioritizing projects?
-AI systems can analyze a large amount of data and use algorithms to predict the success, resource utilization, and alignment with strategy for potential projects. This can help organizations choose the best mix of projects to pursue.
What is the potential impact of AI on the role of project management offices (PMOs)?
-The speakers suggest that AI could automate many of the administrative and reporting tasks currently handled by PMOs, such as compliance monitoring and exception tracking. AI could potentially replace the need for traditional reports if it can provide real-time insights and answers to project stakeholders.
How can AI improve project planning and reporting processes?
-AI systems could pre-populate project plans, tasks, risks, and resource requirements based on historical data and learnings. Additionally, AI-powered virtual assistants could aid project managers in planning and reporting by providing insights and recommendations.
What is the role of virtual project assistants mentioned by the speakers?
-The speakers envision AI-powered virtual assistants that can act as advisors to project managers, providing insights and recommendations based on the project's data and the assistant's knowledge of project management best practices.
How can AI help in software testing and development?
-The speakers highlight that AI can be used to automate software testing before release, potentially reducing the time and effort required for testing. Additionally, AI systems like ChatGPT can assist in generating code, enabling more user-friendly software development processes.
How do the speakers see the future role of project managers in an AI-driven environment?
-The speakers believe that project managers should embrace AI as an ally rather than seeing it as a threat. They suggest that AI can handle many administrative tasks, allowing project managers to focus more on strategic thinking, stakeholder management, and leadership roles.
What challenges do the speakers mention regarding the adoption of AI in project management?
-The speakers highlight the importance of having clean, high-quality data as a significant challenge in adopting AI for project management. They also mention the need for investment and dedicated projects to successfully implement AI solutions.
What potential initiative do the speakers mention regarding AI in project management?
-The speakers express their ambition to develop a master class or training program focused on AI in project management. They aim to create a comprehensive and high-quality program in partnership with a business school, potentially involving Harvard Business Review as well.
How do the speakers view the impact of AI on agile project management approaches?
-The speakers acknowledge that AI will likely impact agile approaches and DevOps processes, as these are closely tied to technology development. They suggest that while traditional agile practices may be automated by AI, the agile mindset and human aspects will still be relevant and may need to evolve.
Outlines
👋 Welcome and Introduction
Antonio welcomes the audience and introduces himself and Ricardo. He expresses his excitement to be partnering with Ricardo for this discussion on an HBR article they recently published. He acknowledges the challenges in project management, such as low success rates, and highlights the need to improve project delivery. Antonio then shares a poll on the percentage of current project management practices that could be disrupted by AI.
🌐 The Current State of Project Management
Antonio discusses the appalling performance rates of projects, with most being delivered late or failing. He emphasizes the need to step up and ensure that only 20% of projects fail instead of 80%. He highlights the lack of maturity in project management technology compared to operational systems like ERPs. The goal is to double the success rate and have an immediate impact on financial, sustainability, and diversity outcomes.
🤖 AI Applications in Project Management
Ricardo introduces six aspects of project management that could be disrupted by AI: project selection and prioritization, support for the project management office (PMO), faster planning and reporting, virtual project assistance, advanced software testing, and the evolving role of project managers. He provides examples of how AI can be applied in each area, such as using neural networks for project selection and AI-powered recruitment platforms.
📊 AI for Project Planning and Reporting
Ricardo discusses the potential of AI in project planning and reporting. He questions the need for traditional reports if AI assistants like ChatGPT can provide real-time information by integrating external data and a company's proprietary data. He also shares an example of a chatbot called Pmoto that can automatically populate project plans based on user inputs.
🚀 AI for Software Testing and the Evolving Project Manager Role
Ricardo highlights the potential of AI in advanced software testing and the evolving role of project managers. He emphasizes that AI will not replace project managers but will serve as a strong ally, enabling them to focus on strategic thinking, leadership, and soft skills. The future project managers will be those who embrace AI and combine human skills with technology for better project delivery.
🗳️ Audience Poll on Disruptive AI Applications
Ricardo conducts a poll to gather audience opinions on which areas of project management will be most disrupted by AI. The options include project selection and prioritization, PMO support, planning and reporting, virtual assistance, software testing, and others. The poll results show that improved planning and reporting, followed by virtual project assistance, are considered the most likely areas to be disrupted.
💻 Data Challenges and AI Adoption
Antonio discusses the challenges of data cleansing and preparation, which can account for up to 80% of the effort in AI implementations. He mentions ongoing research on machine learning algorithms for project prioritization and shares examples of AI-powered project monitoring tools. Antonio also introduces the idea of developing a masterclass in project management, partnering with a business school, and involving experts from various domains.
🤔 Addressing Concerns About AI and Project Management Careers
Antonio and Ricardo address audience concerns about the impact of AI on project management careers, particularly for young professionals. They emphasize that AI should be seen as an ally rather than an enemy, as it will enable project managers to focus on higher-value tasks and strategic thinking. They provide examples of how AI is already being integrated into agile methodologies and human performance management.
❓ Q&A: AI Maturity, Data Quality, and Integration with Existing Frameworks
Antonio and Ricardo respond to audience questions related to evaluating the maturity of AI tools for project management, challenges in collecting clean data, and the integration of AI into existing project management frameworks like the PMBOK® Guide. They acknowledge the lack of maturity models for AI in project management but highlight the potential for AI to complement existing practices and address data quality issues through unsupervised learning.
🔮 The Future of AI in Project Management
Antonio and Ricardo share their vision for the future of AI in project management. They discuss the potential of AI to predict project success without relying solely on historical data, drawing inspiration from AI systems like AlphaGo that learn through trial and error. They also mention exploring unsupervised learning approaches for project planning and execution.
🙏 Closing Remarks and Call to Action
Antonio and Ricardo conclude the session by thanking the audience and encouraging them to subscribe to their respective newsletters and connect on LinkedIn. They provide a QR code and link to download the presentation slides and promise to record and publish answers to additional audience questions.
Mindmap
Keywords
💡Artificial Intelligence (AI)
💡Project Management
💡Project Selection and Prioritization
💡Project Management Office (PMO)
💡Project Planning and Reporting
💡Virtual Project Assistance
💡Software Testing
💡Project Manager's Role
💡Data Cleansing
💡Agile
Highlights
AI can help with better selection and prioritization of projects by predicting success rates, resource utilization, and suggesting the optimal mix of projects to align with strategy.
AI can support the project management office by automating repetitive tasks like generating reports, tracking compliance, and triggering alerts based on predefined conditions.
AI can improve and accelerate project planning, definition, and reporting by pre-populating tasks, risks, resources, and other elements based on the project's objectives and data.
Virtual AI assistants can act as advisors, leveraging knowledge of the project and project management principles to guide project managers.
AI can enhance software testing by automatically generating and executing test cases, leading to faster and more thorough testing.
The role of project managers will evolve, focusing more on strategic thinking, stakeholder management, and leadership, while delegating repetitive tasks to AI.
Embracing AI as an ally and combining human skills with AI-powered technology can significantly improve project success rates and value delivery.
Data cleansing and preparation are crucial challenges, often taking up to 80% of the time when implementing AI solutions for project management.
AI can potentially impact agile approaches, such as automating DevOps tasks and supporting scrum work, allowing agile to evolve to a higher level.
There is a need for a maturity model or framework to evaluate the readiness and effectiveness of AI tools in supporting project management.
AI can overcome data gaps and biases through unsupervised learning, exploring innovative solutions beyond historical data patterns.
The speakers aim to create a masterclass or executive education program focused on AI in project management, partnering with a business school for accreditation.
Successful project delivery rates are alarmingly low, with 95% of projects being delivered late, highlighting the need for AI-driven improvements.
AI has the potential to automate up to 80% of a typical project manager's daily tasks, according to Gartner's predictions.
Adopting AI in project management requires strategic considerations, such as data availability, organizational readiness, and ethical implications.
Transcripts
hello everyone hello Antonio how are you
my friend hello Ricardo hello everyone
yeah it's wonderful to to be with you
and thank you everyone for joining us
today I I need to say we we oh we just
delayed a little bit the beginning
because uh we we had an a really a big
interest on on the workshop and due to
the limitations of of the the platform
and everything so we just decided
something like 10 minutes ago to
broadcast this so it's on LinkedIn on
YouTube on Facebook and even on Twitch
so in all these platforms you can watch
uh this discussion uh live uh and we are
very happy Antonio thank you very much
for the partnership on on the article so
what do we aim here uh is um to discuss
a little bit more about the article we
we recently published on hbr and and try
to Envision a little bit more how the
future will look like and please feel
free to use the Q a uh to talk for some
technical glitch here the chat is not
available for the attendees we try to
sort out but we were unable to do that
so you can use your q a also to
introduce yourself and just to to say at
least we can see where you come from and
we can use this uh to refer to all of
you so I want now to
start sharing uh our our slide deck and
this slide deck will be available uh to
all of you uh at the end I will share
with you the QR code so you can you can
uh take a look and download it okay so
um the main reason for this is the
article we recently published and and
this article try to address
um
some of the trends that we see are are
coming and are coming
really fast and and are coming in
I I don't want to say in a scary way but
are coming uh to surprise us and to
change a lot how do we see things and
and this is exactly what we want will it
be virtual assistants uh will it be the
support of our project planning or AI
will manage projects
and these are questions that we really
want to discuss uh with with you today
and I just want to introduce I don't
want to spend too much time you know I'm
passionate about project management all
my career is about project management
from on different sectors I had the
chance uh to be the director for
infrastructure and project management at
the United Nations I had a chance to
write 16 books in the field I have a
quite popular podcast for those who
listen my voice for a lot of time and my
main work is supporting organizations in
capital projects uh and also I do some
works you'll see later on Venture
Capital mainly on this technology uh
space so I want uh Now to turn into my
dear friend Antonio so he can introduce
himself and start the talk
thank you Ricardo and thank you everyone
for joining it's uh I I just love to be
always with Ricardo and and we always
have great conversations so we thought
why not write in an article for hbr why
don't we create something for the
community so it's today it's a major
step for I hope for our partnership
Ricardo and I'm really glad to have so
many friends on the call I see David
Carr uh Garrett and and uh to have so
many friends thank you for joining I
think one thing that is important in
this space especially in project
management is a lot of co-creation some
people can come with an idea but if we
don't work all together towards making
these changes happen it will never
happen so I think Ricardo me we propose
always new things and new ideas but it's
the power of the community PMI and
beyond that makes these things happening
I think one thing I I just don't will go
not into my career you I think many of
you know but I think what I've noticed
and Ricardo you know that too is that
finally people at the top of
organizations are recognizing the power
of projects the importance of project
management for dealing with this world
driven by change the the project economy
so it's just great to be in this space I
think we have worked hard to get there
many people who are in the corn many
people who are not in the call but it's
just great when you get calls from CEO
and they tell you listen we have a
problem here we have too many projects
or we cannot deal with these
Transformations we need help we need to
build project management competencies
agile competencies so I think I just
wanted to acknowledge that and recognize
that from from for the community who's
here in this calling and and we're all
working together so and today a topic
which we're both very passionate which
is the artificial intelligence of of
course and and somehow I think Ricardo
you mentioned that we it's not a topic
that we really have addressed in the
project management world I I was
chairman of PMI in 2016. I I was very
interested on on Bridging the Gap with
strategy we launched brightline but
artificial intelligence was never really
discussed and I think it's just coming
but very slowly not in other Industries
like healthcare construction cars where
AI is so present in project management
we have not been very active talking
about that and I think this is time to
accelerate that and and make it uh
something positive something where we
can bring this change to the table we
can say listen a machine can do part of
our work we can do much more in other
spaces so
um if you go to the next slide Ricardo
um this is something that we annoys me a
lot as as somebody that speaks around
the value of project management when you
see the the really appalling uh
performance rates of projects and again
I think we all agree that it's hard to
measure success there's no standard way
to look at drug sales I always talk
about the triple constraints benefits or
success and then the benefit success so
there's two types of successes but still
any any
research that we find through PMI
brightline McKinsey uh Professor from
Oxford recently with his big book big
Ideas uh also the numbers are really bad
it's like 95 percent of the projects are
delivered on on delay so I think we need
to step up this is another area with
Ricardo and I talk a lot is how can we
ensure that just 20 of the projects fail
but not 80. so I think that's where it's
a big issue for me in this profession
that we need to find if we are credible
now in the senior leaders face but we
need to be more by delivering more value
and faster so I think this is a bit
setting the scene of AI is also AI can
help to do that hey I can help us we
should see as a as a mechanist for us to
make better projects to deliver them
better more successfully I think there's
one more slide before we move yeah so I
think if you look at I've been doing
project management forever like most of
you and it stress you look at the
operational side of any business and you
see erps and you see a lot of data
warehousing and you see uh reporting on
the spot and and I get very jealous why
operations is so good and they have one
source of Truth and and why in project
management what is such a mess you can
have excels power points on people PPM
systems they did help a bit into that
space But it is never really mature so I
think the the maturity in technology in
the space of project management is still
very very low
and the next slide so this is a bit set
in the scene
and my vision which I think Ricardo
shares as well is that if we put
ourselves a target of let's double let's
let's make sure that uh if we improve
our success rate by 25 this is immediate
impact this is immediate benefit it's
not that we need to invest more we just
need to do them better and you have
impact in in terms of financial but also
in terms of impact sustainability
diversity so I think this is something
like we need to stick in our uh targets
for the next two three years to do that
and then well I think we can really be
very very successful in this space
and I think we have a small pool here so
we wanted to make this as interactive as
possible we'll share a few slides but
then we'll have polls so you can see
here the first one it should have pop up
in your screen so what person touch of
the current project management slash pmo
practice would be disrupted by AI will
be kind of taken over uh will be done
in the next years twenty percent forty
percent sixty percent eighty percent
hundred percent
100 would be nice right we don't need to
do I always talk about self-driving cars
but self-driving projects
why not
then we
Antonio I'm just waiting here we have
already uh hundreds of answers but it's
moving very fast so if you wait 10 more
seconds uh before I close the pool okay
I closed yeah I can see the results you
cannot yet but not yeah but it's fun you
you'll see it's fun it's fun
okay I'm I'm closing okay I'm closing
the pool now it's closed okay and now I
will share the results
ball to you Antonio
okay I think I'm glad to see that I
think there's uh
the interesting there's people who think
about 20 only and a few seven percent 23
and we have already 400 people in the
court uh 100 I'm curious to hear that
but the majorities in between
um so 60 which is quite a lot imagine
half of our week will be done and
automated through machine learning
artificial intelling that's a lot one of
the biggest reference and I'm closing
down here just my last slide before
moving to Ricardo is Gardner so Gardner
was the first one that brought this into
the scene I know PMI has been looking
into that as well and this is already
three years old but Garner said at that
time eighty percent eighty percent of
your day eighty percent of four day four
days of five uh could be done by machine
so that's scary that is saying okay what
I'm going to do I can keep myself busy
for a day but what I'm going to be doing
so nothing that's what make a lot of
noise this this announcement by Garner I
I think there is some true in this
number because we do still a lot of
manual work administrative work
controlling work that machine learning
can easily do but I think we need to see
this as an opportunity imagine you get
rid of all this boring work and you have
just a nice part the stakeholder
management so the next section and
passing back to Ricardo is based on the
article where are the areas that we've
seen this is not just prediction we have
seen changes happening and and there's
some more or less but back to you
Ricardo okay thank you thank you Antonio
uh and it's it's interesting I just went
before we have people from everywhere
you you cannot see but from California
to Bangladesh from Brazil Canada
everywhere so thank you very much for
joining us uh we already have series of
questions here that we are planning to
address but what I want is to try to
share with you six aspects of the the
project man management that we truly
believe will be disrupted uh and and the
upper coming area uh years uh so let me
go through each of them from better
selection and prioritization of projects
to the support of the project management
office to speed up on the planning
process project definitions virtual
project assistance advancing testing
systems and and finally and probably the
most disruptive one it's uh how will be
our role as a project managers uh in in
this environment so the first one it's
the use of artificial intelligence to
help you to select and prioritize so
imagine one thing uh
if we want to understand what AI is
about AI is just a process that take a
huge amount of data and through some
algorithms try to make sense and try to
create patterns that could indicate to
us a trend or or an approach so what
happens you can put your candidate
projects in an AI system and
they can predict
success
in terms of
but fulfillment
in terms of
results in terms of resource utilization
and give you back
that suggested mix or of projects to
help in your strategy so you can use
tools combining like ahp
modeling simulation big data in all of
these to help you to do this I have a
lift I want just to tell you one thing
in 2015 I published an article about the
use of neural networks on the project
selection and prioritization this was
eight years ago these was published at
the PMI Congress and at that time I used
X L and I use a tool called Palisade at
risk to help me to simulate what would
be the best set of portfolio of of
projects and we use neural networks and
neural networks is a subset of what AI
accounts and what is the difference
between 2015 and now that because today
it's widely available today you have
much more chance to get the information
you need and to use this analytical uh
aspect coming from this AI tools that
will help you to select much faster and
in a much reliable way
ah
one example I want to to say I published
yesterday my newsletter and and one of
the aspects of the newsletter was this
case Highview and Highview is a platform
it's an existent and leading platform
for Recruitment and do you know what
surprised me iview is all artificial
intelligence based it means
all these screaming of candidates
even the
interview by a human being on the other
side it's not someone interviewing you
it's a machine that interviews you and
and look what is incredible this machine
could perceive if you are a good fit or
a bad fit
however on the top of that comes a
massive challenge because I always say
this
uh AI has as much bias as any human
being that is feeding AI with
information
so Highview had to stop uh I think one
year one year and a half ago the facial
analysis of candidates because they
discover that it had it had bias the way
you smile the way you position the way
you shake your hands could be
uh good or not so good and and this is
full of bias against uh different
candidates and this is a true case you
can see this on a Wired Magazine and
this so this is a use of selecting
candidates for example uh in the project
environment
the second one this is obvious support
project management office one thing that
I always tell people is that I don't
believe at all that is our role as a pmo
or as a project managers to Just Produce
paperwork you know from templates
to a report and everything so AI can
support that I have a very big question
that I want to ask you because I don't
have the answer is that
will we need reports in the future
do we need that because why do we do a
report we do a report because we expect
that people will read and make decisions
but if imagine if I have an oracle uh
let's let's suppose like chat GPT that
everybody and you as a boss you can just
go and chat and say
is this project on budget and chat GPT
will not only look externally but will
look all your poor and this is exactly
where the big business on AI is for
software companies Microsoft just
released it that the connection between
chat GPT and Bing is not just a
coincidence or market share because what
will happen is that you will have
artificial intelligence servers in your
company doing and connecting external
information with your own proprietary
information to use as competitive
advantage and all these support on
compliance and everything will be done
by the project management office and the
project management office can set
triggers that will create a red light or
a trigger or an exception if something
happens or if there is a trend that
something will happen based on AI
the next one is improve at faster pros
and definition planning and Reporting
it's a pre-populated project for example
you give ideas to Ai and AI will
pre-populate the tasks you should do the
relationships you may uh use the risks
you may face the type of resources it's
I I just want to do an analogy imagine
you with your Trello board and your
parallel board is auto populate or you
with your Microsoft processing your
Microsoft Project is completely out of
populated with that and I had this
experience because I was one of the
founders and and of the Venture pmoto
and pmoto was created and supported by
Microsoft and it's a chatbot that does
exactly that using AI you have a chatbot
like chat GPT and you say I need a
project and then you start talking and
then uh appear more ask you why is this
project about when do you want to start
which kind of objectives do you want
what is this and then pmoto populate the
project for you with all information and
check some of your assumptions so this
is just one example of how you can do
this and use this connecting this third
topic with the fourth as like an
assistant at someone imagine you having
someone in your back with the full
knowledge of your project and full
knowledge of project management helping
you being an advisor and an assistant to
you so this is an example and the
example of the pmoto is machine learning
enable doing this all the time and it
learns with time so if you fix and
correct the next time the same mistake
will not happen again and so it's a
learning uh algorithm that will learn
over and over so when you if you use it
more it will get better and better
number five Advanced testing system and
software and this is one of the areas
I'm talking more for those working in
project management in the I.T sector
this will be a big big big thing because
you will be able able to use AI to test
your system to test your software before
you release it and and this is one of
the key areas just for you to have an
idea chat GPT that is now mainstream is
one of the best software developers you
may find because if you write a a a a
send an ID an app for a python code
there is a good chance that you will
receive a decent code I'm not saying a
perfect but the decent code for you to
use so all of these it it will reduce
dramatically and it will improve
dramatically too at the concept of what
we are talking inside PMI of the citizen
developer process it's where I would say
it the development of technology and
software will become a far more user
friendly and people will be able to
build software to build Solutions like
piling up Lego bricks and this is I I I
would say one of the biggest Trends and
one of the trends with the biggest
impact
and last but not least it's a new role
for us and I I will I'm talking here on
behalf of Antonio and myself because you
know we are on on this field for uh
quite a long time and and you know I
remember in when I did my PMP in 1999 it
was about the budget time and this you
know I you don't care too much about
what was the outcome of the project and
this
completely uh today uh on on the
position of the project manager so what
what it's it's the key
the project managers they need to
embrace this change and I know I know
sometimes it's scary because it it is
when I use chat GPT for the first time I
said what is that but but it's a
different we need now to understand that
there is still a lot of things that
machines are not able to do uh many of
the soft skills leadership but some of
the Strategic thinking some of the
feelings this is
all about project manager project
manager is not about preparing report
and sending complaints up and down and
being the message it's far more than
that and and the project manager if you
are listening to what I'm saying the
project manager that will make
disruptive difference in the future are
those who use this technology as strong
allies
to move forward
and so combining this soft human
approach human skills with a very solid
technology supporting and this will make
a massive difference for all of us this
is why for example Antonio and I we we
use a lot of time writing this because
we need to plant this seed on every
single brain of every single project
manager to think that AI is here to stay
and we need to embrace that in order to
really move our profession to the next
level uh and I have a second question uh
among these items like what do you think
are the ones uh you you believe that
will be mostly disrupted so I will put
the second pool here and I wanted to see
uh what what do you think of that okay
what do you think of that so let me go
so on the second so I would love that
you share with us your perceptions on
that uh very quickly so
um do we see that it will be for better
selection and prioritization uh do you
believe that it will be support on the
project management office or it's
improved planning capability or if it's
virtual or a software testing or or even
other things so I want just to listen to
you so
just quickly and and it's very important
that you share this uh Antonio one thing
that I just just a technical thing we
need just to read the answers because
for those on LinkedIn and YouTube they
cannot see the results of the pool so
just just for for you to to do so I will
read the results so I will give more
10 seconds and and look it's not it's
not an easy answer okay uh
but if you had to guess one what would
be okay
so let me okay so I will end now okay I
will and now
oh there's still people voting voting
voting I'm I'm planning to handle and
then a lot of votes come popping up so
let me okay now I will end the pool okay
and I'll share so the results better
selection and prioritization 14 support
project management office 14
improve at faster approach and
definition planning and Reporting 34 and
the winner virtual project assistance 19
Advanced testing system and software 17
and ordered two percent so uh the
leading is improving I think I I need to
agree with you on my perception it's uh
this will be I would say materialize it
very fast I feel that this will happen
very fast for for most of the companies
and when I say very fast it's we should
expect this year but to have a lot of
Solutions on helping these project
definition planning and reporting that
one thing that was a little bit of
surprise for me is the advanced testing
and system I was expecting a higher
number but 70 percent is still a lot of
people so look uh it would be great when
we do this again Antonio in two years
from now and then we just check the
reality of of what happened okay uh
Antonio back to you on data and people
uh to make a future a reality thank you
Ricardo and I just wanted briefly to
touch upon a couple of points that
Ricardo mentioned
um I I done quite some research on all
these domains and and seen uh some
startups working on that I'm actually uh
developing a machine learning with a
professor in Canada uh Paul uh who is
one of the leading uh
experts in AI in in in this and we're
working on a prioritization selection
application it has 90 criteria so I'm
gathering data for 50 projects and so I
hope that
um
also I'll come back to that so that is
ongoing and I hope in a couple of weeks
we'll be able to test it I've seen a
software that you can press a button and
has a thousands of WBS and can create a
a good plan in five minutes instead of
to 20 weeks because of all the big data
and data and knowledge they've gathered
I've seen another software that is used
by president macron in France
for watching all the all the projects
public spending projects in front
there's thousands and he can see in a
second which projects are late or not
um
so on the risk side as well so my my
thinking and we still need to discuss
that Ricardo but we could have another
session like this one and deep dive in
and bring in this Technologies to you so
that we can also learn from that so
that's a an ongoing learning process
it's not just one one of AI session for
me just to finish when they asked me how
do you see technology in project
management over the years in the future
I always refer to uh Maps when you're
driving in a car with the maps you know
we had three big faces one was the paper
maps the mission lamp maps that were
huge and it was fun to write but it was
not very efficient then we had the GPS
which is yeah much easier and still you
can play a role but if you don't want
then you just go and then you have and
you start seeing the self-driving cars
so if you project that and you reflect
on projects uh my view is that in
projects we're still with the maps right
and it's not very efficient we don't
have yet the GPS and we're far off of
the self-driving projects but we should
be thinking like that could be the god
self-driving projects and what do we do
there to add value which I think there's
a lot so I'm not just saying we don't
need this phone I think we need it and
more than before but I think maybe that
technology here we're still very early
we're still with the paper maps and here
just briefly on the data is one the
biggest challenges Ricardo if you can go
to the next like
so you do need data and and if you want
to go serious on this the research we've
made is around 80 percent of the time at
least in the first phase it's about data
cleansing data preparation I've I've
done that for 50 big projects uh that
I'm doing for this machine learning
prioritization algorithms and it's it's
painful it's not easy for getting data
of 90 criterias from cine Opera House
Empire State Building and uh but I think
in the end once you have that phase what
I've seen is that machine learning also
learns to fill in the gaps so you don't
need to have everything for everything
now these algorithms are super smart and
they will predict data they will create
data based on a good foundation so I
think that makes our our job easier and
the next slide I think it just talks a
bit about
questions that we put in the paper of a
hardware Business Review
um about what you need to consider do
you want to embrace AI seriously I think
you can read this in the slides but it
is an investment it's a project I think
we are convinced that this is uh in in
the midterm something that we will see
everywhere but at the moment it's just
Pioneer companies that are investing in
this I'm not going to go through all
this you can read the slides you can
read the paper next slide please and
Ricardo
um
next slide
yeah and just to finish before q a so
one of the ideas that Ricardo and I have
is that we've done a lot we've done a
lot of trainings we've trained for big
corporates we've done a lot of business
school teaching Executive Education
um so brainstorming and and for me it's
always a passion you know Ricardo shares
the same passion of sharing and building
better project managers and making
everyone more confident and more
equipped and and I think there is always
the the level of the the training is not
always the the highest and Ricardo and I
thought that we could develop a master
class like the best masterclass in
project management
um ever bringing or thinking but not
only or thinking but some of our
contacts that we know in this space and
outside this space to kind of like a day
or two half days we still don't know the
format but I think uh and partner with a
business school so that we get an
accreditation so that you may can claim
that to your business and organization
but it's just a very big ambition that
we have and and making this the best of
the best training uh Master Class maybe
we can involve Harvard Business Review
so I don't know we just want to create
something unique uh talking about this
and that leads to also creating a
community of high level experienced
people so
um it's something that is in our minds
and we wanted to guess uh there's a
small part here to get a bit of feedback
whether this would make sense uh to any
of you and we'll come back with more
details but we don't want to wait too
much time we want to do it this summer
and have the first four but I think it's
part of the sharing that we need to
leave behind Ricardo myself and and it's
just something that I'm very very
excited
yeah we we what we we want I will just
stop sharing uh um what I want I will
look this idea came after the the some
ideas and some discussions between
Antonio myself and we would love just
wondering to hear from you what is your
take so we we are asking three questions
here about is this something interesting
or not at all uh about the duration
about the investment just to have a
feeling we don't have yet an answer for
that so this is why we would love to to
hear from you because you have this
interest so what do you think about that
the answers are Anonymous so if you can
just help us to figure out uh uh these
uh this uh these aspects uh if this
should be something of one day half a
day two days or or if you want something
different or
um it's something that you you don't
have interest it's just for us to to
feel and and then we will go look
Antonio just for your awareness we have
60 exact questions okay to be answered
so we will have to be a very fast trying
to to answer them uh to answer them and
if you uh have questions in the audience
please just uh just uh uh type your
answer we'll try to answer all of them
okay I I don't know but we'll do
too quickly sorry what I do usually when
there's too many questions is what we do
is we'll re we'll make a video you and
me answering the questions yes
we can do that we can do that and what I
want is just uh uh uh to uh to respect
your uh some of the the questions we
received so just some of them are are
super interesting so we can we can
discuss them uh uh here on this q a
before we we come to an end so look I
will just finish uh the the the pool so
thank you very much for your
contribution on on on that uh now
Antonio time for questions so okay put
here so the the first one uh from najib
uh is using AI in project management
implies delegating machines all the work
that is related to the way of working uh
in the PMI competence triangle so are we
giving up uh to machines uh the control
of that
so you can take that or okay no I don't
think so you you give a great question I
just went through like a 20 and they're
amazing and I see Alfonso butter oh no
it's nice yeah it's just really great
question I don't think so it's like
you're driving a car do you give the
control to the car well there's some
parts the engine you're not going to be
running the engine but at the end you're
still accountable you're still
responsible you're still the one that is
going to make the the most important
decisions but you're not the one running
the machine so partly yes we're going to
give some of this heavy duty tasks to AI
but not the accountability not the
direction not the decisions so we still
play a major role uh
so great question I think yeah and AI is
improving Antonio but it's not perfect
at all I use GPT to do uh uh uh to do
um uh for me um a critical path analysis
and it did wrong
and it was a simple one so you need uh
to have Supreme maybe in the future of
things will will improve but I agree
completely with you at the end uh you
are accountable for that okay you use
the machine to accelerate your your your
thoughts uh Alfonso uh wonderful to see
you I I see so many friends here most of
the young project managers they believe
AI will constrain their project
management career uh and he said I
explain it that is not true at all but I
would love to hear your opinion I can
take this one off phone so I look
look if you are young and you were
afraid of AI you have a big problem
because if you are at the end of your
career and you are afraid of AI I would
say oh okay I can unders but if you were
at the beginning oh my God because we
don't know what will happen in 20 years
so I truly uh believe that uh AI is is a
game changer I I love Richard davanni uh
a book about the new Industrial
Revolution because this is the same
thing that when I would say people in
the factories before the Industrial
Revolution thought that oh I will lose
my job no
it's just changing it's just changing
it's just change and it's already
changing for example as I said 20 years
ago project managers were expected to
deliver on time on budget you know if if
the product is irrelevant or useless
it's not your problem you receive from
my sponsor a request and you just
delivered that these used to be what uh
the role of the project manager and look
now so I think AI is a key Ally for
example I use you know Antonio the same
gave some examples so don't be because
if you see AI as your enemy then you
have two problems you have your problem
with perception of AI and AI itself so
don't do that okay it's not smart
uh look um
do you oh Dave Garrett Dave Garrett do
you think AI will have an impact on
agile approach the human parts of scrum
and Beyond if so wipe might it be
I love that David and thank you they for
being here
um
and for what you're doing with PMI I I
think that's a great question because we
always seen agile AI coming into the
traditional predictive project
management it's also going to be agile
and all these devops and and I think the
initial phase so I think yes absolutely
there's going to be impact in agile and
it's something that we've not covered
very much so I think that it's something
that we need to to go a bit deeper but
definitely I think there is a big
opportunity for doing a lot of the scrum
work and all the in the end agile is
very much related to Tech development
right so
um I'm sure there will be a very soon
that can do all these devops part
without any human intervention uh so the
agile maybe move somewhere a bit further
down the line and I think we started
embracing agent in other parts of
project management and bigger projects
while the traditional agile gets done by
machine so I love the question Dave I
think we need to explore
yeah I want to add Dave a true example
of that okay on on this um I am on the
board advisor of Vienna it's an Estonian
um Venture um that connects AI with
human performance and mainly for agile
works so what what do we do we set up
micro rewards based on AI and Technology
are based on Trello boards based on jira
based on kanban boards and the speed you
move the tasks and everything like micro
rewards and it's not the end of the
project bonus but a micro rewards just
based on AI so for example you have a
this week to accomplish these and this
and then based on the way you move on
Trello on jira you can meet the targets
or not and then you can have benefits
and the benefit if it could be something
like a ticket to the to the movie
theater you know a donation uh to the
victims of uh the war or whatever so
these kind of micro and this is all AI
based because the AI takes a look on the
whole stream of the Sprint and create
incentives to make sure that you deliver
your Sprint on time this is just a a
real example of happening today and this
is just one I I can give you another 300
different examples of that okay uh so
look
um uh Federico from Rome uh any in near
initiative to evaluate actual or near
future maturity of AI tools uh
supporting pm
Federico good to see you I'm just going
through the questions and they're
amazing this is really the source for
another article more work because they
are not just
um they're not superficial questions the
questions that you are all put in here
are deep questions I think that that's
great and Federico to your question I
think I've not seen there's maturity in
I.T the CMM model that we all saw 20
years ago so but I've not seen it
applied yet to Ai and not along for
project management so to be honest I
don't I've not seen anything and I think
there's a sense for that maybe on the
maturity of your data it could be a
starting point but it's a great point to
further analyze further work on the
maturity of AI and project management
definitely an area to explore and thank
you Federico for the great question I'm
just impressed Ricardo yeah yeah it's so
many now we have more than a hundred
okay
yeah let's take two more and then we are
done okay Marshall uh talking about AI
implemented at the pmo guide look I I
don't work for PMI of course I know the
pmbok very well but remember uh you said
Marcio that it would be a new specific
area of knowledge and I just want to
remember that pmx7 there is no knowledge
area anymore and the PM box 7 already
considered many of these aspects of
Technology already on it so if you ask
me it's not
AI uh uh everything AI but there is a
lot of things on the current PM box that
are already covering Ai and I don't
believe that you need a new PM box just
for AI because then we need another PM
box just for Conflict Management another
PM box so I think AI goes on on the top
of that okay and and now maybe uh uh
maybe for uh for you here let me uh
Chris
um AI can only predict success if they
are given the right data but the data is
so historic and does not reflect the
future and narrow networks are as biased
as we are we don't yet have the right
data being collected so that is the same
challenge we face without AI how do you
see the collection of clean data
improving when will this happen great
question Chris Antonio
okay Chris from Bahrain it's always good
to see you and I know you've been
working on this I think I think that
what you're stating there wasn't my
belief all the time about the importance
of data data and cleansing what I've
seen and this is confirmed by the
professor Paul from uh from Canada is
that the new versions of AI are much
smarter in terms of data so some of the
gaps that we had can be can be overcome
with the recreation of data and and it's
not this solution it's not going to
solve it I don't see AI taking our
decision which is still very flawed
anyway today if you see the the poll the
the poor success rate that we have in
projects I see it as a compliment this
is another opinion so it's now never
going to be perfect but it's a voice
that we need to listen because this is
data we always talk about Knowledge
Management we talk about Lessons Learned
in project management they're not used
today they're not used so I think AI can
help with that and and make us better
decision makers but indeed there's still
a gap in like Ricardo said AI is not
perfect and will not be perfect in the
next years but we don't need to
disregard it just for that
thank you yeah absolutely let me just
add before we we close
um look at Chris I agree with you but I
want just to to raise one point with you
have you thought about AI trying to plan
and predict projects with no historical
information
unsupervised learning
because I saw people already trying to
study this it's trying to break
everything for example you built a a for
example a building
uh and you use historical information
but have you tried to use Ai and say
look AI please try an error uh
interactive to find the best way of
building a building sometimes it comes
with absolutely surprising and this for
example I I started looking this when I
saw the AI uh
no um Alpha go from deepmind where the
the player of goal is started that the
machine started playing completely
different from the way a player plays
because it it was never a play before so
it didn't learn something like you learn
basic moves no for stride and error so
these Chris could be an absolutely
disruptive future for many many projects
okay and chat GPT is is one of the
things using this to generate code for
you look we we don't have much time I I
just want to share our final slides so
uh it's one Antonio one mind and the
other one with the the QR code so uh
Antonio uh
you can you know where to find us I
think the LinkedIn newsletter is
something that I I try to cover these
new topics the the certification on
Project practitioner you you'll get the
slide so I don't want to bother with
with my stuff you get their summary
um and where to connect later on perfect
and for me I just want to to tell you I
just released it yesterday my new
newsletter called Beyond hype and and
this is a very personal project for me
it's it's something that I share my
questions my concerns and and if you
want to subscribe both on on my website
and also on LinkedIn okay and this is
the final contact information for
Antonio we we are very both very easy to
reach okay we we are on LinkedIn and we
are very open on the network and on that
uh button here you see the QR code to
download the presentation so you can
download all these slides by using this
QR code or if you want you can use the
same link that you use to register for
this webinar are r r v a r g dot a s
slash a IPM I just redirected directly
to the slide deck okay so you can
download and you can revisit so Antonio
my friend thank you very very much for
the partnership you know it's always a
pleasure working with you we will record
uh some answers uh to uh to the
questions uh you raised and we'll
publish them Antonio thank you very much
for your time okay and see you all in a
future time okay thank you very much
bye-bye everyone
have a good weekend
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