How can AI Transform Project Management?
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- Опубликовано: 31 июл 2024
- Any video about Artificial Intelligence is likely to be - at best - provisional. The technology is improving fast and what seems possible now is likely to be little more than the leading edge of a massive transformation. With that said, however, what can we say now about how AI can transform Project Management?
There are four classes of things AI can do that may contribute to a transformation in Project Management either individually or in combination:
1. Language recognition and generation
2. Pattern recognition
3. Optimization
4. Automation
Our Artificial Intelligence & Project Management Professional Briefing
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TECH IN 5 MINUTES - Jelvix
This video is part of a collaboration with Jelvix, whose ‘Tech in 5 Minutes’ channel is well worth a visit. TECH IN 5 MINUTES: @Jelvix
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🎒 A while back, I asked Project Managers in a couple of forums what material things you need to have, to do your job as a Project Manager. They responded magnificently. I compiled their answers into a Kit list.
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⏱ Chapter Markers...
00:00 - How can AI transform Project Management?
00:36 - The four things AI can do
01:21 - Language Recognition and Generation
02:49 - Pattern Recognition
04:44 - Optimization
05:33 - Automation
06:29 - Summary
07:23 - Introducing Jelvix: Tech in 5 Minutes
#AI #ProjectManagement #ArtificialIntelligence
Project Management will change as a result of Artificial Intelligence tools. But how? In this video, I share my assessment.
I made this video as a collaboration with www.youtube.com/@Jelvix who are producing a lot of great content about AI and related topics. Check them out.
Oh yes, and thank you for watching.
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Spot on, Mike. This short video is meaningful, insightful, and useful.
Thank you, Rich.
thanks for the video
It's always great to come across content that provides valuable insights into topics like AI's impact on project management
Thank you, Akshay.
Thank you!
You're welcome!
Very helpful and informative video we have to equip ourselves with AI in PMO.
As you mentioned above it will definitely help us a lot and more things more efficiently
Thank you.
Huge fan of you sir.
I've been thinking of writing a thesis about connection between AI and Project management and I would be glad if you give me more advanced guidelines about it.
Looking forward for your reply sir.
Thank you. If you are writing a thesis, it is I who should come to you for advanced guidelines.
The best advice I have comes from the conversations I have recorded for this channel. So take a look at my interviews with Lloyd Skinner, Nicholas Dacre, Stuart Easton, and Andy Kaufman. The playlist is here: ruclips.net/p/PLsz8d8r2a996F2Fi-tB9N2HCp4qoaNjU_
I also keep an updated list of the best content I find on the web, in my AI & PM Professional Briefing: geni.us/AI-PM-Briefing-20pcOff
@@Onlinepmcourses
Thank you sir for showing me the primary path of this big process I have taken.
@@shihabjamil4279 You're welcome - good luck!
Looking forward to IA transcribing but also accurately summarising the salient points of my PWGs. Especially if we can use prompts to tailor the summaries. Would also be great for it to answer questions about the meeting e.g ‘what was Johns view on such and such?’
That's a brilliant use case - a complete contextual memory!
No reason why it can't summarize now. If you allowed the ML algorithm to be trained on every internal document and it created them well enough, the recall function should be possible.
@@Onlinepmcourses > algorithm to be trained on every internal document...
Many companies are already identifying issues with allowing someone else's AI to consume their proprietary data, which would fall under IP, Copyright, Trademark, Patent, and other confidential company secrets. It seems like companies may have to invest in their own AI System, isolated from others, similar to how companies first invested in their own private mainframe computers, all those years ago.
If that is the path, sadly, I think it will be a really long time before a PM's tasks and admin functions can be absorbed.
Certainly! Integrating AI technology for transcribing and summarizing meetings, particularly PWGs (Presidential Working Groups), can significantly enhance efficiency and accessibility of information. By utilizing prompts, the AI can tailor summaries to focus on specific aspects or key points discussed in the meeting. Additionally, incorporating question-answering capabilities allows users to retrieve specific information or viewpoints shared during the meeting, enhancing collaboration and decision-making processes. This integration of AI can streamline communication and ensure that valuable insights from meetings are readily accessible and actionable.
Hi Mike, thank you for this informative video. Do you think AI is likely to replace PMO roles as they mostly are in a supportive capacity?
Yes - in fact I think this will be the first big impact. Collating, analyzing, and presenting data across projects and programs is easy work for AI systems, yet time intensive for humans (HI).
👍👍👍
Tx!
I can see how it can really help with things like reporting or planning, and I can't wait for that! But do you think it can replace the role of a PM all together in the longer term? In other words I suppose, do you think it could replace the human interactions and management that are so key to a PM role?
In 'the longer term'? Define longer. All I can be reasonably confident is that AI won't replace human PMs in the next 10 to maybe 20 years. But really, speculation about the deep long-term of technology is likely to be way off the mark. That said, I am intrigued by Sal Khan's observation that AI teachers can, in principle, be better than human teachers. What human teacher can tailor assignments, feedback, and coaching for every single child? There isn't the time unless we can afford 1:1 tuition. But, AI teaching... There is a reasonable argument that more and more aspects of the human role in professional services will be done competently or even better than we can do them, by AI. That leaves the question of whether one AI can perform multiple roles, as one human can. And, if not, how a composite of multiple AIs can simulate a single entity. Don't hold your breath - but don't bet against AI.
@@Onlinepmcourses In the longer term I guess I mean beyond the next few years, so yes 10 to 20 is a good metric. That being said, even that is so far into the future when compared to the pace of AI development that it's really impossible to know at this stage. It would be interesting though to take a closer look at the potential which the technology has (from what we know about it now), and understand if there is a realistic chance of it substituting managerial roles more generally.
@@NPRixix I agree that the change is so fast, that we just cannot know (rather than predict/speculate) what will happen in the 10-20 year range. None of the people I interviewed on the channel at the start of the year could make concrete predictions.
Hi Mike, I am very interested in watching your videos,
Could you please advise on the best LMS for the prerecorded courses?
Thank you.
My pre-recorded courses are on Teachable and you can see them here: school.onlinepmcourses.com
@@Onlinepmcourses Thanks too much
*In Sept 2023, Google’s Search AI Said You Can Melt Eggs.* I think we have a really long way to go before AI is accepted and trusted in business to make the correct decisions based on its large data sets. I think I'll put a pin in this for now, and check back in 2033...
I still have my pins in the flying cars of the 1950s and the autonomous cars of the 2010s...
OKay - let's start with the facts: Google's search returned a link to a Quora result that used an old version of ChatGPT.
However, what happened is called a hallucination. Generative AIs are 'plausibility machines'. They generate the next thing they can, that has a high enough plausibility of following the last thing, in the context of the prompt. Hence, they don't 'know' anything. They just have a lot of reference material to use in generating likely next words or pixels.
Training matters. For business, service, and critical uses, I would expect a lot of context specific training. And I would also expect a review process.
Flying cars were never likely: Power to thrust and regulation of near-ground airspace.
Autonomous cars are very close to reliable now - arguably safer than cars controlled by meat - and far safer than cars controlled by tired, drunk, or drugged-up meat. The challenge is 20% technology and 80% social acceptance + legislative complexity (ie, where to assign fault in the case of accidents.)
So, what of AI in business? Do check-back in 2033. But I suspect you will find massive developments and have been left behind. I shall be monitoring a lot more closely. Follow my videos, and we can keep up the conversation.