Beyond the Hype: How AI Is Really Changing Project Management! With Mashhood Ahmed
Episode Title: Beyond the Hype: How AI Is Really Changing Project Management! With Mashhood Ahmed
Introduction: In today's episode, John Barker engages
in a compelling conversation with AI expert Mashood Ahmed. They delve into the
transformative power of artificial intelligence in the realm of project
management, debunking common myths and highlighting the true potential of AI as
a job enabler rather than a job replacer.
Key Highlights:
- The Transformative Power of AI: Mashood shares his insights on how AI is
- revolutionizing industries by enhancing productivity and adaptability in
- project management.
- AI Myths vs. Reality: The discussion demystifies common misconceptions
- surrounding AI, emphasizing its role in augmenting human capabilities
- rather than replacing them.
- Innovations in AI: Explore groundbreaking AI models and tools that are setting new
- benchmarks for efficiency in project management.
- Adapting to Change: Mashood stresses the importance of adaptability in the
- rapidly evolving landscape of AI and project management.
- AI's Impact on Project Management: From automating mundane tasks to
- strategic decision-making, AI's integration into project management is
- explored.
- Ethics and Governance in AI Use: The conversation takes a critical look at
- the ethical considerations and governance issues surrounding AI in project
- management.
- Future of AI in Project Management: Mashood shares his vision for the future,
- highlighting how AI could further revolutionize project management
- practices.
- Resources and Tools: Listeners are directed to valuable resources and tools,
- including Mashood's AI Prompt Guide for project managers and the
- innovative raidlog.com platform.
Conclusion: The episode wraps up with Mashood's
advice for project managers looking to leverage AI in their work, emphasizing
the need for continuous learning and adaptability in the face of AI
advancements.
Call to Action:
Mashhood Links:
https://www.mashhood.net/speaking-engagement
https://www.linkedin.com/in/mashhood/
John Links:
https://advisory.titanof.tech/
https://titanof.tech/newsletter/
https://www.linkedin.com/in/johnbarker78/
Credits: Hosted by John Barker with special guest
Mashood Ahmed. For more insightful discussions on the intersection of
technology and project management, subscribe to our podcast and stay tuned for
upcoming episodes.
00:00 Introduction to AI and Project Management
00:50 Interview with AI Expert Mashoud Ahmed
01:42 Mashoud's Journey into AI and Project Management
04:07 AI's Impact on Project Management
08:17 AI's Role in Risk Management
11:02 AI's Potential in Meeting Transcription and
Documentation
13:27 AI's Influence on Project Scheduling
18:08 AI's Impact on Corporate Security and Privacy
22:28 The Future of AI in Project Management
28:14 The Challenge of Constant Learning in Technology
28:29 The Evolution of Professions and Skill Sets
29:09 The Importance of Adaptability in the 21st Century
29:25 The Resistance to Change and the Need for Relearning
30:12 The Impact of Industrial Revolutions on Change
Perception
31:24 The Importance of Investing in People and Training
32:17 The Future of AI Prompting Skills
34:01 The Importance of Context in AI Prompts
36:41 The Potential of AI Automation in Business
38:33 The Concept of AI Hallucination
43:04 The Future of AI in Project Management
50:43 The Role of AI in Decision Making
51:56 The Transformation of Project Management Roles
52:43 Closing Remarks and Contact Information
Transcript
Imagine stepping into the promising yet often intimidating
Speaker:realm of artificial intelligence.
Speaker:From myths of job replacers to the exciting reality of job
Speaker:enablers, AI is transforming industries unlike ever before.
Speaker:Today, I dive into an incisive conversation with Mashoud Ahmed,
Speaker:an AI expert, turning fear on its head and revealing the untapped
Speaker:potentials for project management.
Speaker:We shed light on innovative AI models, explore how we can use the new age
Speaker:tools to supercharge productivity, and dish on the importance of adaptability
Speaker:in a swift, evolving landscape.
Speaker:If you've ever wondered what the intersection of AI and project
Speaker:management looks like, stay tuned.
Speaker:We're about to cross that junction together.
Speaker:Nine, eight, seven,
Speaker:one.
Speaker:Mashhood, I became aware of you from the Project Management Institute.
Speaker:You had a great webinar on what the advances that AI is going to end up
Speaker:doing in the project management field.
Speaker:You know, I mentioned to you before we actually start recording.
Speaker:You know, you're putting me over the hump for the for the PD use, and I'll
Speaker:make sure that everybody has a link to the presentation that you had come
Speaker:up for from the webinars to check it out because I thought it was great.
Speaker:Before we really jump into the AI piece and the project management piece, as
Speaker:far as how that, how it's probably going to disrupt, you know, is disrupting
Speaker:a lot of different industries there.
Speaker:And there's a lot of fear, trepidation, excitement, you know, put all
Speaker:the emotions that are out there.
Speaker:You, you want to around it.
Speaker:But tell me a little bit about, you know, your background, your experiences, project
Speaker:management, that kind of got you to the point where you're like, all right, I, I,
Speaker:I'm going to be the trendsetter with this.
Speaker:Thank you very much, John, for giving me the opportunity to speak at this platform.
Speaker:I'm so humbled and honored to deliver this webinar at projectmanagement.
Speaker:com.
Speaker:And I was really astonished when I see 2, 800 people live on that webinar.
Speaker:And since then, over 15, 000 more people have watched that
Speaker:webinar all over the world.
Speaker:I'm getting LinkedIn messages, emails, and other queries via email and other ways.
Speaker:And I'm so humbled and honored to have.
Speaker:Now, talking about my background, I got my PMP in 2008.
Speaker:So I'm kind of an older guy.
Speaker:I don't look that old, but I am.
Speaker:And, um, back in 2017, 2018, I was working overseas, kind of a board
Speaker:with my, my day to day job, you know, because, you know, sometimes project
Speaker:management job becomes a routine as well.
Speaker:And I decided I want to do something new.
Speaker:And somebody mentioned, why don't you speak and share
Speaker:your knowledge and experience?
Speaker:That's a good idea.
Speaker:And then I started looking into the AI and project management.
Speaker:I did my first talk on this topic at PMI News Event in 2018, I believe, in
Speaker:2019 at PMI Singapore, then PMI PMO in Denver, Colorado, and a number of
Speaker:other chapter meetings around the globe.
Speaker:And then COVID happened and I moved overseas back to Canada.
Speaker:And then last year I was like, you know what, I need to see where I am
Speaker:and kind of start putting it together.
Speaker:Then I was invited to speak at a closing keynote speech, uh, at North Carolina
Speaker:PMI conference last year, August.
Speaker:I shared the recording with a bunch of folks on YouTube and on the LinkedIn
Speaker:and again got some amazing feedback and so many calls after that one.
Speaker:And, um, so that's how I get here.
Speaker:And, uh, just last year I had about 16 speaking engagements.
Speaker:This year I've already booked like over 10 speaking engagements
Speaker:and many more counting.
Speaker:Um, so it's a really exciting time and really humbled to share my, my
Speaker:knowledge, my experience and my thoughts.
Speaker:and how project management profession will be transformed by leveraging AI.
Speaker:had any interesting projects or something that kind of stood
Speaker:out over the last few years?
Speaker:Because obviously.
Speaker:If you're talking 2018, you know, you're early, you're early, I would
Speaker:say in the commercial industry.
Speaker:Um, I know some government guys that have been doing stuff for a long time,
Speaker:uh, from some projects that, or some committees I had been on, but you
Speaker:absolutely early 'cause this, you know, early, didn't hit mainstream and public
Speaker:awareness until open AI year and a half ago, year, year and a three months ago.
Speaker:So to me, the, like, you know, I haven't seen a commercial project management
Speaker:product yet to say that it has.
Speaker:Good AI function features, but I've been noticing Microsoft,
Speaker:Outlook, Exchange, Google, Gmail.
Speaker:They started introducing some of the AI features, right?
Speaker:Basic, uh, predicting what next word you're going to type.
Speaker:So that was a early indication.
Speaker:The other one that I noticed a few years earlier was that in Outlook, if
Speaker:somebody sends you an email saying, Hey, Rashid, I'm looking for this document.
Speaker:Can you please share this document with me?
Speaker:And if you don't respond for next three, four days, it'll give you a
Speaker:little nudge and reminder that, you know, you need to follow up on that.
Speaker:So those were kind of, uh, things that I'm noticing.
Speaker:Um, beside that, back in 20 17, 20 18, there was a product called
Speaker:fireflies.com or fireflies ai.
Speaker:I'm not sure what's the exact URL.
Speaker:But they really picked up during the COVID time and they have a lot of productivity
Speaker:functions and features embedded in their Fireflies application, which is a meeting
Speaker:transcription application at that time.
Speaker:So I'm hoping in 2024, 25, we will see a lot more application.
Speaker:And the reason we don't see it.
Speaker:Is because there's a lot of fear about the governance, the security, the privacy,
Speaker:and the ethics, and there are a lot of companies out there who have the products,
Speaker:I believe they are in the stealth mode, and they are just waiting for these
Speaker:governance and ethics regulations to come up and comply so that they can comply
Speaker:and have the products in the market.
Speaker:I think it's just a matter of time.
Speaker:That is something, um.
Speaker:Uh, I'm sure you're not aware of this since we just met, like, 20 minutes ago.
Speaker:Um, I actually sat on an AI, uh, we created an AI policy for our local
Speaker:school system here in Virginia.
Speaker:It's actually the first one in the state.
Speaker:Um, and it was, I don't call it an arduous process.
Speaker:It was definitely a spirited debate at times with everybody because
Speaker:you're, you're, you know, I was 1 of just a handful of community
Speaker:members that are were around that.
Speaker:And it was a situation where almost everybody, I would actually
Speaker:say 90 percent of the group.
Speaker:We're like, hey, this train's left the station.
Speaker:We've got to put some guardrails around these things and then let
Speaker:the other professionals within the education community figure out
Speaker:exactly how they want to do it.
Speaker:But don't just outright go.
Speaker:I don't understand this.
Speaker:We're going to sit on the sidelines type of thing.
Speaker:Are you seeing a lot more of that kind of across the board?
Speaker:Or are you seeing other people being a little as you're going around and giving
Speaker:the talks and we can talk more about.
Speaker:Project management, specifically, if you want to, uh, that have that
Speaker:trepidation around that piece.
Speaker:Are they looking for a way to embrace it?
Speaker:Well,
Speaker:I think it's a mixed bag depending on who you talk to.
Speaker:So there are people like me who would say, go and use chat, GPT or Google
Speaker:bot or whatever tools available to you and figure it out and try the best.
Speaker:And in a business world, we call it like, uh, working
Speaker:collaboratively, cooperatively, right?
Speaker:You know, you're working on a project with a team member.
Speaker:You work together to brainstorm the ideas, brainstorm the solution.
Speaker:Why not use.
Speaker:AI large language model like Google bot or chat GVD to
Speaker:brainstorm some ideas with you.
Speaker:I think that's important.
Speaker:And this is more important for somebody who is new to any profession.
Speaker:So if you're new to a project manager, management role, for example, you may want
Speaker:to see what are the risks on this project.
Speaker:So you can simply go to chat GVD, Google bot, and just type in your
Speaker:project, tell a little bit about your project, what your project is
Speaker:about, you know, the content from.
Speaker:Project charter and say, Hey, can you give me five high probability
Speaker:risk on a project that I have to manage as a smart project manager?
Speaker:If we give you some ideas, if you take these ones, and again, this is what
Speaker:some of the Q and a, uh, in the, my Q and a session comes up a lot is.
Speaker:Well, the risks that chat GP identifies are very common.
Speaker:And as a senior or season PM, we all know that those risks do exist.
Speaker:And I totally agree with that.
Speaker:Yes, those are the risks that do exist.
Speaker:But how many of you really copy and put those risks in a
Speaker:risk register from the get go?
Speaker:Most of us don't, okay?
Speaker:We start thinking about risk register when things start slipping, and then we're
Speaker:like, oh, we need to put a risk register.
Speaker:But we don't typically put a risk register from the get go, from the beginning.
Speaker:So that's important thing is to understand what AI can do, and take it as a leverage.
Speaker:Something that it gives you five risks.
Speaker:So now you have five risk identified.
Speaker:It's put in a draft format.
Speaker:You edit it, you update it, you make your own.
Speaker:So that's your strategy.
Speaker:That's a way to move into adopting AI into project management.
Speaker:I had heard, uh, some people were joking on LinkedIn recently.
Speaker:They said, risk registers are where risks go to die.
Speaker:People put them in there and never reviews that.
Speaker:So it's, but it's one of those things where you now have an assistant to make
Speaker:sure that those things don't go to death.
Speaker:And one of the things that you
Speaker:Yeah, and I remember somebody put on LinkedIn, I don't recall who he was.
Speaker:Uh, somebody said, don't show me the status report.
Speaker:Show me your risk register.
Speaker:If I want to see a health of your project, don't show me the status report.
Speaker:We all know that how the status report can be.
Speaker:More from worded in a way, uh, but if you look at the risk register,
Speaker:you will know what is happening.
Speaker:Gartner predicts that about 80 percent of the daily tasks are going
Speaker:to be, uh, you know, eliminated.
Speaker:What are some, what, what are some of the bigger tasks for that type of stuff?
Speaker:Cause like, you know, a lot of project management work is that boring.
Speaker:I got to keep all the documentation up to date crap.
Speaker:Um,
Speaker:I call it like mundane
Speaker:yeah.
Speaker:So what I do in my talks is I ask a question.
Speaker:Is there anybody in the meeting room who loves to take the meeting minutes?
Speaker:I haven't found one person yet.
Speaker:It's one of the tasks that all project managers hate.
Speaker:I hate it personally because, you know, if I take the meeting,
Speaker:somebody will challenge me.
Speaker:I did not say that.
Speaker:I said that this means this, not this.
Speaker:And, you know, it's just getting in debate.
Speaker:So AI is there to help us to do those mundane tasks.
Speaker:So in my webinar, I give example of a meeting transcription, put a meeting
Speaker:transcription into child GPT and ask to summarize it, put an action item table.
Speaker:And then you can use that action item table to follow up with your resources.
Speaker:If you take one step further, you can put those action item, action items
Speaker:into your ticketing system, whether you're using a JIRA, a project task,
Speaker:or any other tracking system where you want to follow up on your task.
Speaker:So AI is there to help you with mundane tasks.
Speaker:The other challenge is that as a project manager, we spend
Speaker:a lot of time in meetings.
Speaker:Going from one meeting to another, we forget.
Speaker:Uh, we kind of, uh, sometimes lose things in translation because
Speaker:technically people were talking too much.
Speaker:And this is where AI is to help with the meeting transcription, action
Speaker:item, as well as you can put those meeting transcription into chat GPT,
Speaker:for example, and say, Hey, can you help me draft a statement of scope or can
Speaker:you help me draft a project charter?
Speaker:Now what it will do is it will create a draft for the charter, which will
Speaker:never be a hundred percent correct.
Speaker:It will be 30, 40 percent correct.
Speaker:And that puts you as a human in the loop as a human powered AI.
Speaker:Now you will review the content, edit those content, make it your own, and then
Speaker:you don't have to look at the blank page.
Speaker:And what I call this is a blank page syndrome,
Speaker:right?
Speaker:You know, we get.
Speaker:We spend four hours in a meeting, we come to our desk, we are tired,
Speaker:we are having the fourth coffee of the day, and now I have to write a
Speaker:project charter from the scratch.
Speaker:By using some of these AI tools that I have demoed, you can literally
Speaker:have a draft of a document.
Speaker:That you can just say, yep, this is good.
Speaker:I'm going to edit these sections and I'm going to make these sections my own.
Speaker:So those are some very low hanging use cases that we can adopt by leveraging
Speaker:Do you see, I don't know how far away some of this is when you're talking
Speaker:about predictive, but how about just, Managing your, your critical chain path
Speaker:or you're sitting there, you've got your dependencies and, and float and
Speaker:all the stuff that's got to go into building the schedule to allow that
Speaker:as you start, uh, you know, let's say you're managing similar projects where
Speaker:you go, Hey, I'm doing one like the last one you've already managed this one.
Speaker:Let's clone it, but the timeframe and let it organize workflow that
Speaker:needs to happen and how long the work breakdown structure should be per task.
Speaker:Things of that nature.
Speaker:Is, is there anything there that you've seen Cause most of the stuff
Speaker:I've seen is very much what you said.
Speaker:It's kind of that, that prompt.
Speaker:It's like, here, here's the, here's the shortcut to start building the stuff out,
Speaker:but actually performing some of the tasks.
Speaker:I haven't seen anything yet, but if I'm saying that it does
Speaker:not mean it does not exist.
Speaker:It just means, it means that I don't know.
Speaker:Um, and this will, a lot will depend on.
Speaker:You know, the wide adoption of AI in general, we haven't seen
Speaker:the wide adoption of AI yet.
Speaker:A lot of companies are on fence, a lot of companies are saying, Hey, don't
Speaker:use chat GPT or Google bar, or if you use it, you know, anonymize the data.
Speaker:We have a privacy concern about health information, patient information,
Speaker:private data, you know, all sorts of regulations that needs to, to
Speaker:come up and we need to have, so I also have a background in IT audit.
Speaker:So we need to have controls on the layer of AI, which do not exist today.
Speaker:So I can give you an example.
Speaker:Let's say, and we did this in our, um, in our mock exercise, right?
Speaker:So we asked one of my volunteer to act as a CIO, other one as a CFO, other
Speaker:one as the HR person and have a meeting where they were hiring and then they
Speaker:have to fire people and things like that.
Speaker:And then, you know, we have like.
Speaker:Five meeting transcription.
Speaker:And now I have access to that meeting where the HR director is saying that we
Speaker:have to let go some of our staff member because our financial does not look good.
Speaker:Now this information, if I have access, I should not have
Speaker:access to that information.
Speaker:So we should have information classification and controls
Speaker:over who should have what level of access to what information.
Speaker:Now on the other side, If you have a meeting transcription with your president
Speaker:of the company and you understand how he or she talks, what words he or she
Speaker:uses, what sentiment and what languages he or she prefers, you can simply start
Speaker:GPT saying, Hey, I have five meeting transcription with our CEO or the
Speaker:president of the company based on this meeting transcription, what would you
Speaker:suggest me to have my elevator pitch to be the president so that I can you.
Speaker:Sell this idea to the CE of the company and charge GPT based on that context would
Speaker:give you very good 32nd elevator pitch.
Speaker:So this is good, you know, but on the same side, this could
Speaker:be misused in a negative way.
Speaker:When somebody can ask a prompt, how can I.
Speaker:Misuse of power or the sentiment analysis, leveraging sentiment analysis, right?
Speaker:So all of those controls and all of those like access control, who should have
Speaker:access to what meeting transcription and what kind of prompts you can ask chat
Speaker:GPT based on those meeting transcription.
Speaker:A lot of work needs to be done in that area.
Speaker:Once those roles and responsibilities and controls are defined, we will
Speaker:see a lot more adoption of AI.
Speaker:In general, and more specifically in projects.
Speaker:So example in projects is that, um, we did this mock exercise where I asked one
Speaker:of my resource to be a negative resource.
Speaker:Okay, so he was, he was asking all these silly questions, delaying the project,
Speaker:do all those things and everybody in the team were trying to help him out.
Speaker:And then we asked Chair GPT, why there's a delay on the project?
Speaker:And they said, hey, because of Tim.
Speaker:Because Tim is asking all these questions that all those
Speaker:questions were answered before.
Speaker:He's not proactive, he's delaying on all of his tasks and all those things.
Speaker:So now Chair GPT can provide me this information based on the
Speaker:major transcription context.
Speaker:As a project manager, if I'm sitting in the meeting, I will get it.
Speaker:But now, if somebody else will have access to those meeting transcription,
Speaker:they can do those sentiment analysis on the resource capabilities and make
Speaker:that, uh, bias about that individual.
Speaker:So, those are some of the HR concerns that we have uncovered.
Speaker:And I think this will continue until we get to that level where
Speaker:we have proper audit controls and the levels of responsibility is
Speaker:No, I think that's unquestionable.
Speaker:I'd seen some other fortune 500 companies, some of the CIOs and
Speaker:CEOs were posting up there of how they were trying to figure out.
Speaker:what the guardrails were going to be on that.
Speaker:And I, and my comment back to, to one of them, I think it was like
Speaker:American Express or something.
Speaker:I said, you're either going to end up with something super vanilla where the
Speaker:answers are very generic, or you're going to end up on the other end of
Speaker:going, it came back and said, what?
Speaker:And, you know, it's so, you know, it is in, cause you're talking, that's the human
Speaker:element sitting there trying to figure out where that's going to be in the middle.
Speaker:Um, and those are, I think that's crazy.
Speaker:That's going to be a crazy conversation because that's down to the individual,
Speaker:the company, the culture, the industry, you know, all of that type of stuff.
Speaker:And talking about fortune 500.
Speaker:So if you go to chat, GPT site, um, they say for 80 percent of the fortune
Speaker:500 companies are using chat GPT.
Speaker:And because I'm talking to so many people and I'm wondering what,
Speaker:who is really using chat GPT.
Speaker:So I drilled down that, that code from chat GPT.
Speaker:And I find that a little footnote that says.
Speaker:This 80 percent we counted based on the people using the Fortune 500
Speaker:email addresses to access chat GPT.
Speaker:Now, what does that mean is that if security officer or the IT of IT auditors
Speaker:in those Fortune 500 companies, 80 percent of the Fortune 500 companies have no idea
Speaker:what information from those companies have been put into chat GPT by the individuals
Speaker:using their corporate email addresses.
Speaker:what That's a bigger risk question, big audit question
Speaker:for those fortune 500 companies
Speaker:shadow it problem.
Speaker:That's been in it for ever where those guys go rogue, it goes rogue.
Speaker:And you're like, you don't know what you don't know.
Speaker:I come from that background.
Speaker:I come from the cyber background as well with some of the, so speaking
Speaker:my language with, with, with, uh, with that, because it's been a
Speaker:problem that's existed, but now.
Speaker:You're talking about going, Hey, let's dump all of our data into
Speaker:this as well, into this third party versus using a graphics imaging tool
Speaker:to make a, you know, something like Canva or something that you may, you
Speaker:know, marketing may not know about.
Speaker:Well, brand is in that now as well, but it's, it's a, it's
Speaker:absolutely a major problem.
Speaker:Um.
Speaker:So speaking of that, taking that, taking that piece of the, the IT auditing and
Speaker:the security piece of that, I've seen, I know some people that are building
Speaker:their own, they've decided to build their own, uh, large language models in-house.
Speaker:They're, they're, and training it on their own data and saying,
Speaker:no, we're gonna block everything.
Speaker:We're gonna block the chat GBTs, we're gonna block the,
Speaker:uh, you know, block the Bards.
Speaker:And then there's the, the flip side of that.
Speaker:There's other security consultants, AI architects that are going, no, no, no.
Speaker:You know, you're never going to be as secure as the, the software as a service,
Speaker:you know, they've got the resources, they got the money to put in the security of
Speaker:those things, but you still have that risk of, of the, the larger model ingesting
Speaker:something, or like, like we were talking about, you know, an employee dumping,
Speaker:you know, financial data in there, because it's easier for it to analyze.
Speaker:Where do you, do you have a stance on that?
Speaker:Or is this still a, This is that part of, we got to figure
Speaker:this, we got to figure this out.
Speaker:What, what I believe is that the larger companies like open AI, which
Speaker:is backed by Microsoft, Google has a bar and a bunch of others, their AI
Speaker:model would be easily integrated with.
Speaker:So for example, Microsoft tools, Microsoft copilot, Microsoft
Speaker:outlook, Microsoft word.
Speaker:So you can do a lot of things in the world, you know.
Speaker:Writing a Word document it knows that you're writing a charter so it can
Speaker:pick up the template and you know, those sort of things will happen
Speaker:automatically within the office product.
Speaker:Same thing with Gmail.
Speaker:Because A lot of startup companies, they don't have the Outlook, they
Speaker:have the Gmail accounts, right?
Speaker:So all the emails are in Gmail and all those things will be there.
Speaker:So I think the competition would be between Microsoft and Google here.
Speaker:And then there'll be small startups or small niche specific AI models that will
Speaker:have a room in their niche industry.
Speaker:So example is radiology image or cancer reduction.
Speaker:So this is a specific niche specialized in the hospital, in the
Speaker:healthcare, in the oncology area.
Speaker:They will have their own AI.
Speaker:They will not be able to use large language models for those, right?
Speaker:Or even the, you know, the text image or image generation that is
Speaker:widely available to the public.
Speaker:So they have their niche, so they will have their room in the niche,
Speaker:but the main competition would be in between Google and Microsoft.
Speaker:And we will see how things turn around in next year or
Speaker:Oh yeah.
Speaker:I mean, this is, is, we're in the wild, wild West right now.
Speaker:Everybody,
Speaker:It is.
Speaker:I, and I often say that this is like 1992, the birth of the internet.
Speaker:We are the same
Speaker:everybody's trying to get their thing out there to figure out how to make money
Speaker:off their thing as fast as possible.
Speaker:And it's, uh, again, It's this with open AI hitting the market the way it
Speaker:did, and then what was it, uh, you know, that a hundred million dollars within
Speaker:a day or a couple days or something.
Speaker:You know, the, it was the fastest software as a service thing that had
Speaker:ever released in history, and everybody's trying to piggyback off of that.
Speaker:It's, I mean, it's, it's just, it's just in crazy.
Speaker:It's just crazy what the stuff it's been.
Speaker:They, the iteration, because you actually talk about that a little
Speaker:bit in the, in the presentation.
Speaker:When you, when we talk about.
Speaker:The learning and the learning of, you know, of, of the different phases from
Speaker:the, the industrial revolution to, you know, the, the 4th phase of cyber.
Speaker:Now, speaking of that, humans are resistant to change.
Speaker:You know, we've go through that every time, you know, the.
Speaker:The horse and buggy to the car, you know, to, you know, is a I going to take my
Speaker:job and robots and things of that nature?
Speaker:How do we get people over that resistance of resistance to change and actually start
Speaker:learning the tools to be more productive?
Speaker:So humans are always, humans are always like the stories, right?
Speaker:So in my talk, the one that you're referring to, I give a story of like, um,
Speaker:the first industrial revolution, second industrial revolution, third and fourth.
Speaker:Right.
Speaker:And I try to mention that.
Speaker:The time span it takes each revolution is getting shorter and shorter,
Speaker:and the amount of productivity or amount of new innovations are
Speaker:skyrocketing, and this will continue.
Speaker:So people who lost their jobs because of there's no more, there
Speaker:are vehicles on the road, and there are no horse cars on the road, they
Speaker:were able to transform themselves and, you know, get some factory jobs.
Speaker:And the people who were in the factory jobs, In the second to third industrial
Speaker:revolution, when they lost some of their factory jobs, they were able to do the
Speaker:shipping and receiving, for example.
Speaker:So they were still able to do.
Speaker:Now people who are in shipping and receiving, and if they really want to
Speaker:excel, they really need to understand the ERP and all those modules and see how they
Speaker:can optimize their inventory on those.
Speaker:That is getting more complex.
Speaker:So what's going to continue to happen is that the resource, the
Speaker:roles require more complexity.
Speaker:And we will not have that many resources that can do the complex level of job.
Speaker:So it is very important for all of us to what I mentioned in my talk, is
Speaker:the two important skillset is ability to unlearn and ability to relearn.
Speaker:And what I mean by ability to unlearn is the way things used to work in
Speaker:the internet time or the mobile time will not work in the AI timeframe.
Speaker:A thing that used to work 50 years back, 100 years back, we all know
Speaker:that that's not going to work.
Speaker:So we have to unlearn.
Speaker:We have to unlearn how not to use the internet, how not to use the technology.
Speaker:And we have to learn how to use it.
Speaker:Now, when I say ability to unlearn, it does not mean that you have to
Speaker:unlearn every single thing that you
Speaker:have learned in your life.
Speaker:Okay.
Speaker:If somebody has a question, is that, does that mean that I have
Speaker:to learn every single thing?
Speaker:I'm like, no, it only means you have to unlearn the subset of concepts that
Speaker:are impacted by this technological.
Speaker:And then relearn the new way, relearn in a way that is.
Speaker:That gives you leverage, that gives you value added that was
Speaker:not available to you before.
Speaker:Something that takes like five days, now you can do it in a couple of hours.
Speaker:You know, you give example of, um, anybody uploading a financial data on to ChatGPT.
Speaker:And if, let's say you have a spreadsheet with complex data and you know, details,
Speaker:you can simply upload that spreadsheet into ChatGPT for the paid version.
Speaker:And ask question about that.
Speaker:Spreadsheet saying, Hey, can you give me this type of analysis based on this data?
Speaker:Can you give me this type of analysis?
Speaker:Or you can simply prompt, Can you give me some interesting fact from this data?
Speaker:And it will give you interesting fact that you and I would never think about.
Speaker:So, the technology is there.
Speaker:We have to unlearn.
Speaker:We have to relearn.
Speaker:And we need to continue this cycle.
Speaker:And this cycle will get shorter and shorter.
Speaker:So that's a, that's a challenge for the next generation.
Speaker:Like my kids, for example, is in my career, I have changed
Speaker:my job profession a few times.
Speaker:I was a software engineer, a business analyst, and a project
Speaker:manager now, and then whatever will transform it next time, right?
Speaker:So about every five to 10 years, I was changing my profession.
Speaker:Now my kids probably have to change their profession more faster.
Speaker:And I believe they will not have a profession, they will have a hybrid
Speaker:skill set that they can leverage and based on the role of the
Speaker:task required, they need to put a different hat and get the work done.
Speaker:So this is a different
Speaker:mindset concept.
Speaker:And, you know, I highly recommend everybody to read a book by, uh, Yul
Speaker:Harari, 21 Lessons for 21st Century.
Speaker:It gives you a lot of insight about all of this that is required us
Speaker:to be successful in 21st Century.
Speaker:No, that's crazy because that goes into the very counter of the way things
Speaker:have been, at least for the last decade of, Specialization, specialization,
Speaker:specialization, niching down, getting away from the generalist person that can
Speaker:kind of step in and be, I use sometimes use the word gap filler where you're
Speaker:stepping into stuff, but you've got the other tools because a lot of that stuff
Speaker:is just, you know, you call them the mundane, the junk tasks features that go
Speaker:into that, but it's changing that mindset, you know, when you're talking about
Speaker:that, uh, unlearn, relearn, it's, yeah.
Speaker:The resistance I've always heard is, well, that's the way we've always done it.
Speaker:That's the way we've always done it.
Speaker:And it's like, but not, not, not anymore.
Speaker:And it's, and that's, that's got to sink in.
Speaker:And the, and the reason we do that is because first disorder
Speaker:revolution lasted like 120 years.
Speaker:Right.
Speaker:So they were like, you know, 3, 4, 5 generation in that
Speaker:lasted in that time, that time.
Speaker:So we get that mentality from there of this, how we've been
Speaker:doing for the last hundred years.
Speaker:Second Industrial Revolution, about 60 years, same thing.
Speaker:Somebody joined in that time frame, retired in that time frame, at
Speaker:least two or three generations.
Speaker:The third Industrial Revolution, the internet and technology has
Speaker:been there for 30 years, right?
Speaker:And this is where we are now really realizing that We have to change faster
Speaker:because before the change was change was happening forever the evil the
Speaker:human history the the formation of earth For millions of years, change
Speaker:was happening, but it was happening so slow that we did not notice
Speaker:at that time until last 50 years.
Speaker:For last 50 years, the change is happening so fast in front of
Speaker:our eyes that now we are noticing that this is hard to catch up.
Speaker:And that's where unlearning and relearning concept comes in.
Speaker:No.
Speaker:And, and I, one of the things that I hope that happens during that process,
Speaker:because we are seeing this major shakeup with companies adopting, or
Speaker:at least experimenting with this.
Speaker:Is that they're willing to invest in the people to do that.
Speaker:Because one of the things that we've seen, uh, particularly in the cyber
Speaker:security industry, I've got friends that run cyber training companies and stuff
Speaker:like this are the corporations are, have been unwilling to really invest
Speaker:in the people in some of the training.
Speaker:And it's gotta be day one, hour one minute, one hit the ground running.
Speaker:So if we're getting ready to go through this next revolution with this, that
Speaker:they're willing to go, Hey, you know, I've already seen ads for AI prompt engineers.
Speaker:That's going to be a job.
Speaker:is this going to be something that, all right, the high school's got
Speaker:to start thinking about training this, colleges need to, or are the
Speaker:companies going to step up and start investing in people that way for that?
Speaker:So I agree that, um, and I agree with the prompting skills.
Speaker:I strongly disagree with the prompt engineering jobs will be there.
Speaker:So what I believe is the way we learned how to type.
Speaker:So you might remember, you know, in 80s, like I remember in 80s my elder
Speaker:cousin was going to learn how to use a
Speaker:I did.
Speaker:I did.
Speaker:thing.
Speaker:That was a big thing at that time, right?
Speaker:And in my time in 90s, when internet was, was new.
Speaker:People will use to go and get training on how to surf the Internet.
Speaker:And if you tell this thing to your 10 year old kid at home that, Hey, I took
Speaker:a classes for typewriter or I took a classes how to use the Internet,
Speaker:how to search the Internet, they will look at you like you're so dumb.
Speaker:So to me, it's not prompt engineering.
Speaker:It's a prompting skills.
Speaker:And what I strongly believe every one of us have to learn the AI prompting skills.
Speaker:It's like how to browse the Internet.
Speaker:It's like how to use a typewriter or keyboard, how to use a mouse.
Speaker:It will become such an essential skill in the next two years that if you do not
Speaker:know how to prompt a large language model, you will not be considered for a job.
Speaker:And that,
Speaker:So,
Speaker:yeah, and that's one of those areas that I've seen a lot of people trying to use
Speaker:it as if they're talking to Google search.
Speaker:Versus having a conversation the way that it functions with a lot more detail, a lot
Speaker:more granularity, because, as you know, the more info you can give it, the better
Speaker:the results you're going to get back.
Speaker:And I think that's where there's still, there's a lot
Speaker:of learning curve around there,
Speaker:There's a lot of learning curve and there's a lot of specific information
Speaker:that you need to put to build the context about your queries or about
Speaker:the prompts that you're going to ask.
Speaker:So if you ask like a series of prompt based on a meeting transcription,
Speaker:it will give you very concrete response or very relative response.
Speaker:But if you ask the same prompt, say, for example, based on these last five
Speaker:meeting transcription, can you help me generate five, identify five risks?
Speaker:That's very specific based on the meeting transcription.
Speaker:Now, it will give you based on what was discussed in different
Speaker:meetings, and then you can ask about, Oh, what about this risk?
Speaker:Where do you get this risk?
Speaker:And it will try to explain to you where the context is coming from, rather
Speaker:than just going to charge you between saying, Hey, I'm running an ERP project.
Speaker:What are my five risks?
Speaker:It will give you very generic risk.
Speaker:So the more specific you are, the more you understand how to turn on
Speaker:your, uh, your AI prompt, the more you understand the different types of prompt.
Speaker:And how to fine tune your prompts because what's going to happen in future is
Speaker:there will be applications that are built using the AI engine in the background.
Speaker:And what they would do is they need people who can help fine tune the prompts.
Speaker:And say this problem would work in this condition, but not in this condition.
Speaker:So if you have this context, this will work, not this one.
Speaker:So we would need people who have the prompting skills and who
Speaker:also know how to fine tune those prompts to get the exact results.
Speaker:which makes sense.
Speaker:And some of the stuff, I don't know how much you.
Speaker:I went through a period, probably like everyone does, where
Speaker:they're saying, what's the new AI tools that are in the pipeline?
Speaker:And I saw a demo of one last year.
Speaker:It wasn't ready to be released.
Speaker:You may have been able to go get it off of GitHub or something like that.
Speaker:But it was actually going through the process of controlling the
Speaker:computer to write an email.
Speaker:So you would send it instructions.
Speaker:That we're like, Hey, open Google Chrome, go to Gmail, send an email to this
Speaker:person, and it would do the whole thing.
Speaker:And tying this back to PM, imagine you've got to keep a Microsoft project file
Speaker:up to date, and you're like, Hey, go update all these resource tabs, due date,
Speaker:schedule, blah, blah, blah, blah, blah.
Speaker:Progress, a lot of, a lot of manual labor taken off your, off you, off your
Speaker:lot of manuals have been taken off.
Speaker:And if you look at, there's a tool called Zapier or make.
Speaker:com and there are a bunch of others.
Speaker:They are the integration platforms.
Speaker:And what you can do is you can literally, so I remember maybe like five years
Speaker:back, 10 years back, I use a tool called, um, IFTTT, uh, if then, if
Speaker:then that, so it's a similar thing.
Speaker:So, and I use like, if the stock price goes up or down, then send
Speaker:me alert or things like that.
Speaker:Right.
Speaker:You can use the same logic and build something on zap here saying
Speaker:if you receive an email and if that person exists in your CRM,
Speaker:that means he's your customer.
Speaker:And he's asking a question, then read out this email to your customer support.
Speaker:If the email comes in, the person is not in your, your customer database,
Speaker:maybe then you need to do some prompt and ask them to complete a
Speaker:form to collect some information like their phone number and that.
Speaker:So you can literally build a number of automations.
Speaker:And then I've also seen automations built in within CRM, where a
Speaker:customer sends you an email.
Speaker:And based on what is said in the email, it will use chat GPT, for example, to
Speaker:draft a response to that particular question and direct the person to
Speaker:specifically how to fix this problem.
Speaker:So not like, you know, 10 lines, but like one line saying this is
Speaker:how you go and fix your problem.
Speaker:So all those things are possible.
Speaker:Uh, there's a lot of people who are working on the AI automation and
Speaker:Zapier is one of the tools that I have used and I find it very useful.
Speaker:A number of those places where you can automate a bunch of these tasks.
Speaker:Oh yeah, no, that, that's been around for a while.
Speaker:Bluntly speaking, I've got to get it better to work for
Speaker:scheduling my podcast stuff here.
Speaker:Um, there's a step missing that would make my life easier.
Speaker:One other thing, and I actually only wrote part of it down in my
Speaker:notes, which is unusual for me.
Speaker:Um, you talked about AI hallucination.
Speaker:Can you explain what I had never heard that term or I'd heard it explained, but
Speaker:I never heard the term attached to it, but
Speaker:there are a number of things that if you are learning the prompting
Speaker:skills, you need to understand what those terms are, right?
Speaker:Like, you know, prompt leaking, prompt injection, prompt
Speaker:drifting, AI hallucination.
Speaker:So what is AI hallucination is, so basically what happens in the background
Speaker:in the large language model, it goes and reads the unstructured data
Speaker:and try to make some connections.
Speaker:Sometimes it makes connection that makes sense to us.
Speaker:Sometimes it makes connection that does not make sense to us.
Speaker:And sometimes it makes connection and we find the new innovations through that.
Speaker:So AI hallucination happens when AI thinks about something and try to
Speaker:connect two unrelated objects into one.
Speaker:And that may or may not be true.
Speaker:So for example, how would you relate the stock price going up
Speaker:and down versus something going in the news about that company?
Speaker:There's a relationship to that, right?
Speaker:Now, if you have a tool that can make that relationship faster
Speaker:before the price goes down, you have a good tool and a good model.
Speaker:If you get a tool that makes.
Speaker:Join some news that is not related to that company, but say the
Speaker:stock price will go up and down.
Speaker:That's the false, uh, false answer.
Speaker:Right?
Speaker:And that's what happens when we talk about the AI hallucination, when,
Speaker:when, these large image models connect, unconnected things and start overthinking.
Speaker:So hallucination is.
Speaker:In a human terms, it's like overthinking, right?
Speaker:So I'm hallucinating, meaning I'm thinking that people are
Speaker:following me, people are chasing me.
Speaker:You know, F I E S E I E A, yada yada, it's chasing me.
Speaker:they are
Speaker:I have, I have the atomic, I have the secrets to the atomic bomb, I
Speaker:can move the atomic bomb in a house.
Speaker:I'm hallucinating, okay?
Speaker:I'm just connecting things that I'm superior to other people.
Speaker:And this is the same thing that happens in AI.
Speaker:But if we put the controls in a way that parameters, like hit and shoot,
Speaker:I'm not an atomic science engineer.
Speaker:I don't have a degree.
Speaker:I don't understand atomic science or atomic bombs, yadda yadda.
Speaker:You know, I'm a normal citizen.
Speaker:There's no point of, you know, agencies to follow me.
Speaker:So just cool down, be easy.
Speaker:So that's how I would do it.
Speaker:But now if, if I'm hallucinating, I would just overthink that.
Speaker:Hey, you know what, it's going to happen and I'm going to do this and
Speaker:I'm going to save the world or I'm going to do whatever the situation is.
Speaker:So that's hallucination.
Speaker:And this has happened because The parameters are not set properly.
Speaker:You give access to different data set that AI is not trying to connect each other.
Speaker:And that's where it gets missed.
Speaker:And is this a situation where you need to really understand your
Speaker:industry or your field to just not blanket except the results that it
Speaker:pops out where you actually, you actually know enough to go as weird.
Speaker:That doesn't make sense.
Speaker:And this is why I always say that it's a human in the loop.
Speaker:And I always say that never trust the output you receive from any
Speaker:AI model as 100 percent accurate.
Speaker:It's never be 100 percent accurate.
Speaker:You have to read and you have to make it own and you have to
Speaker:understand how you're justifying it.
Speaker:Because it's important because let's say as a project manager, I'm
Speaker:writing a project charter and I put something in a project charter that was
Speaker:discussed as out of the scope in scope.
Speaker:If I put that in a document and send it to my sponsor for submission, my reputation
Speaker:as it as at a risk, not the chart GPT.
Speaker:So we all need to understand is that even if we are using the AI
Speaker:model in the background, it is our person, my reputation at the risk.
Speaker:for using the tool.
Speaker:So be careful on what tool you're using.
Speaker:Never ever trust 100 AI model.
Speaker:Make sure to read every single thing and make sure to have human
Speaker:in the loop before you proceed.
Speaker:Now, can you talk a little bit about some of the.
Speaker:The programs or projects that you're working on in, I know you've got
Speaker:your prompting tool and I'll make sure the links are in the show notes.
Speaker:Uh, but any, any, any special PM AI tools you're working on?
Speaker:Okay, so I'm going to talk about, so one is very generic.
Speaker:So I developed a AI prompt guide for the project managers last year.
Speaker:So if any one of you was at pmassistant.
Speaker:ai, you can download the AI Prompt Guide and I'm planning to revise that
Speaker:guide this month and hopefully release a new version by the end of the month.
Speaker:But if you still go, you sign up, you can download that copy and whenever I have
Speaker:the new version, I will send it to you.
Speaker:Um, last year I was engaged with a client of mine called,
Speaker:the company called raidlock.
Speaker:com.
Speaker:So it's R A I D, L O G, dot com, and most of the senior project managers
Speaker:have used ArrayDrop tool, which is Risk, Action, Issues, and Decisions.
Speaker:So, it's basic tool that uses AI in the background.
Speaker:To identify new risk, to identify new actions, to identify new issues,
Speaker:and to identify new decisions that you are making on the project.
Speaker:So I helped, uh, raidlog.
Speaker:com to build up their roadmap.
Speaker:I have a monthly call with their CEO.
Speaker:Um, I had that call this morning as well.
Speaker:So if you want to try it out, go to raidlog.
Speaker:com.
Speaker:sign up by yourself and see if you like it.
Speaker:Um, again, I'm not sure if they are offering, um, the air version for free.
Speaker:But if anybody would like to get the air version for free, let me know.
Speaker:I will put a recommendation.
Speaker:And the last that is something that I'm really keen to develop is
Speaker:project management assistant AI app.
Speaker:And that solution once developed would have So basically what will happen as
Speaker:a project manager, the difficult task is meetings, managing those meetings.
Speaker:So what will happen is that you will give access to your calendar
Speaker:to project manager, pmassistant.
Speaker:ai, and then every single meeting, the PM assistant will join the meeting
Speaker:with you, will take the meeting transcription, will come up with a
Speaker:summary, will come up with like action item table, and then there will be
Speaker:hierarchy of prompts in the background.
Speaker:So, for example, if you are in a project initiation meetings, you
Speaker:will ask different questions versus you are in a project closure or
Speaker:in between the project execution.
Speaker:So, we will have those prompts, but again, that's in a pipeline.
Speaker:We are at a very early stage.
Speaker:If anybody would like to explore at pmassistant.
Speaker:ai, we do have a meeting analyzer where you can upload a meeting transcription.
Speaker:And then it will give you the attendance, the summary of the
Speaker:meeting, and the action item table from that meeting transcription.
Speaker:Very cool.
Speaker:It's, it's in a way it's similar to some of the AI that's been built in.
Speaker:I'm going to use the podcasting platform here because when I,
Speaker:when I get done, it will sit there and say, do you want show notes?
Speaker:Well, yes, I do.
Speaker:Do you, do you want timestamps on everything?
Speaker:Yes.
Speaker:Do you want us to scan your transcript and maybe find something that's the most
Speaker:controversial thing that is said in here?
Speaker:That has not been exactly right, but the other stuff's been pretty good.
Speaker:So no, that's awesome.
Speaker:So again, the PM assistant is specific to the project manager.
Speaker:There's the podcast example you give is specific to the
Speaker:Exactly.
Speaker:It's trained just on that.
Speaker:Exactly.
Speaker:Again, having that niche, having that body of knowledge for that
Speaker:particular domain would help.
Speaker:Like the way I say that the hierarchy of prompts, like if it's a project
Speaker:initiation, I'm interested to know who the stakeholders are, who the sponsor
Speaker:is, how much budget we have, the team, their availability, and all those things,
Speaker:while if I'm closing the project, then I'm more interested in how satisfied
Speaker:my stakeholders are, and what are the lessons learned, right, and then releasing
Speaker:the team, and making sure the project can hand over to the operational team.
Speaker:If I'm in the execution, then I'm asking a different set of questions.
Speaker:So again, yes, so there will be like, um, what I call a hierarchy of
Speaker:problems that we have to put together.
Speaker:To make that a product reality.
Speaker:Two more questions and, and, and we'll wrap.
Speaker:What, what do you think, what would you like to see with AI integrating
Speaker:into project management that you see where it's at right now?
Speaker:You see where, where would you like it to get to in the, in the, in the near term?
Speaker:So what I would like is like a meeting companion, as I said, you know, so that
Speaker:I go to a bunch of meetings, spending four hours, five hours in a meeting.
Speaker:So give me summary, what do I need to do?
Speaker:What does my team need to do, and so that I can follow up with them easily.
Speaker:Then integrating those actions into some sort of tracking
Speaker:application like project task.
Speaker:or GR ticket or, you know, whatever ticketing system or Kanban board,
Speaker:for example, and then putting those things on the Kanban board
Speaker:and then making sure the teams are picking it up and getting work done.
Speaker:So this is where I see the automation between AI and the PPM tool.
Speaker:And that would be really beneficial for the project managers.
Speaker:And then also have, um, what I call a project manager dialogue
Speaker:or project manager assistant.
Speaker:To help me be a better project manager.
Speaker:So there are so many project managers who got their PNP in the last few years.
Speaker:And they may not have experience to that level of project, right?
Speaker:But having a companion or assistant who can prompt you, would you
Speaker:like to ask, would you like.
Speaker:question like this.
Speaker:Would you like to do this?
Speaker:So, for example, I was using a tool, I believe it's in Microsoft Teams,
Speaker:where you can, uh, enable, it's called, um, it's called Language Companion.
Speaker:I, I'm forgetting the name.
Speaker:So, it's a, it's a companion, and it will tell you in the real time what
Speaker:words you are using and if those words are inappropriate or not.
Speaker:Okay,
Speaker:So, I use the word that I have master's degree from University of Waterloo.
Speaker:And it prompt me in the real time that it's recommended
Speaker:not to use the word master.
Speaker:And instead you can use that I'm expert in this.
Speaker:I'm like, okay, fine.
Speaker:But then I was thinking about it, why it was suggesting master is
Speaker:not, is an inappropriate word.
Speaker:And then I realized the master word is related in a history
Speaker:to slavery, master and slave.
Speaker:And that's why it's not an appropriate word in the business set.
Speaker:So I think it's called language coach.
Speaker:So those type of things for project managers.
Speaker:So if you are sitting in a meeting, and somebody talks about something,
Speaker:then a tool might say, hey, as a project manager, you want to ask
Speaker:this question to get clarity on this.
Speaker:And once that happens, we will see a good potential and a tool
Speaker:that PMs can use to their benefit.
Speaker:no.
Speaker:Okay.
Speaker:I'm gonna check that out there.
Speaker:Everybody I know tries to avoid Microsoft teams, uh, for for their
Speaker:tool of choice when it comes to things.
Speaker:But I want to check that out now.
Speaker:That's pretty cool.
Speaker:Uh, last last one.
Speaker:Do you see we get to a point with with AI and at least on rudimentary tasks
Speaker:that are completed that we're going to empower the AI to make the decisions at
Speaker:certain checkpoints or milestones versus.
Speaker:Having that trust but verify human always in the loop.
Speaker:Uh, I know, I, I wouldn't trust it now.
Speaker:'cause we've, we've talked about how it can come back with the
Speaker:hallucinations and bad results.
Speaker:Do you think we're gonna get there?
Speaker:'cause you're gonna see some people seeing that as a still another thing
Speaker:to, to, to remove, to, to speed things
Speaker:Yes.
Speaker:I don't think it will happen in the next two years.
Speaker:But in next 5 to 10 years, it will happen that we will start
Speaker:trusting the decisions made by AI.
Speaker:So right now the challenge is the governance, the explainability of
Speaker:the AI, how AI is making decisions.
Speaker:That's why we need human in the loop.
Speaker:And once we cross the bridge where we know consistently that the decision
Speaker:AI is making is As good as human is making, and then yes, we will
Speaker:get to the point where we will let AI do a lot of work on our behalf.
Speaker:And at that time, our role will transform into strategic business enabler.
Speaker:We will not be project managers anymore.
Speaker:What I believe is that there will be multiple roles will come into
Speaker:the project management function.
Speaker:So it could be project manager.
Speaker:It could be a business.
Speaker:It could be domain expert.
Speaker:And it could be a configurator that one person would do a job that's required
Speaker:10 people today by leveraging AI.
Speaker:So this is what I mean by when I say that the role of project manager will
Speaker:transform into strategic business enabler.
Speaker:I mean, project manager will enable business to do things better, faster,
Speaker:at a much faster pace than ever before.
Speaker:Excellent.
Speaker:I'll let you have the last word in on that.
Speaker:Where, uh, people wanna reach out or find you.
Speaker:What's the, what's your, uh, method of communication, of choice.
Speaker:You can find me on LinkedIn.
Speaker:I think that's the easiest and most of us are on the LinkedIn.
Speaker:Um, if you want to send me an email, you can send me an email at mashood,
Speaker:M A S H H O O D at pmassistant.
Speaker:ca, dot AI, sorry.
Speaker:And, um, LinkedIn is the best and easiest way to get hold of me.
Speaker:And, uh, I try to post some content on the LinkedIn as well.
Speaker:So, you know, watch out and, uh, your audience will learn a lot more in future.
Speaker:good.
Speaker:My shoot.
Speaker:I appreciate this.
Speaker:This has been great conversation.
Speaker:I appreciate it.
Speaker:Excellent.
Speaker:Thank you very much, John.
Speaker:Thank you for having me.
Speaker:Thank you very much.
