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Artificial Intelligence and the PMP

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Steve Boerner CEO, Head of Product Development | HeliumIQ Pa, United States
Hello PM Community,

As part of an interview process with the Project Management Institute, I'm writing a white-paper on the topic of Artificial Intelligence and its impact on the PMP role. I would love to hear from PPPM Professionals, industry experts, technology gurus, and similar roles. With your help, I will publicly share my findings on projectmanagement.com.

Below are some sample questions to get your wheels turning. Thanks so much in advance!

Questions:

1) How do you imagine AI influencing the PMP role in the near future? Where can it be most effective? Why/how?

2) How can the Project Management Institute use AI in a fashion that forwards the impact PMPs have on their projects, programs, or portfolios?

3) What links, resources, etc. can you share with the group that forward knowledge of AI and it's relationship to the PPPM Professionals?

Thanks!
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Rami Kaibni
Community Champion
Senior Projects Manager | Field & Marten Associates New Westminster, British Columbia, Canada
Steve,

1- AI might influence PMP Role in certain industries like Manufacturing, Software, Whole Sale, Retailers (Like Amazon did recently) but industries like Medicine and Construction won't be affect a lot as you can never replace real human beings to run such industries in any form or shape. AI might be as support but not fully replace the PMP Role.

2- All what PMI can do to be honest is to expose the PMP's to various AI techniques and how to tailor them and tranform from Human to AI by means of inspection and adaption so I believe it will be a blend of AI, Agile & Waterfall.

I would be interested to see the end results if you do not mind sharing. Good luck with your interview and post. Keep us posted please.
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1 reply by Steve Boerner
Jun 08, 2018 6:32 PM
Steve Boerner
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Rami - As far as construction is concerned, would you agree that AI could be used for project projections, intelligent recommendations, success/failure likelihood calculations, and refined suggestions that mature as the intelligence supporting the system improves with # of inputs/projects over time? Same might apply to Medicine/Healthcare projects surrounding health/medicine, though the end-user contact will always be by real-humans...(for the foreseeable future at least).
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Arvind Kumar Delivery Manager| IT Organization Chicago, Il, United States
Hi Steve,
For sure, I can contribute for your question. Allow me a day or two. I will update you.

Regards, Aravind
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Anish Abraham Privacy Program Manager| University of Washington Auburn, Wa, United States
Hi Steve,
Good luck and all the very best with your interview. Please share with ur your findings.
1. I believe that in future AI will be most helpful by removing risk in projects, whether that’s prediction for the project up front or removing risk in the execution.
2. My understanding is that there are lots of AI approaches that have been developed in the world for use in project portfolio management. PMI should take to account the lack of precision in the present frameworks of project management.
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Steve Boerner CEO, Head of Product Development | HeliumIQ Pa, United States
Jun 08, 2018 5:38 PM
Replying to Rami Kaibni
...
Steve,

1- AI might influence PMP Role in certain industries like Manufacturing, Software, Whole Sale, Retailers (Like Amazon did recently) but industries like Medicine and Construction won't be affect a lot as you can never replace real human beings to run such industries in any form or shape. AI might be as support but not fully replace the PMP Role.

2- All what PMI can do to be honest is to expose the PMP's to various AI techniques and how to tailor them and tranform from Human to AI by means of inspection and adaption so I believe it will be a blend of AI, Agile & Waterfall.

I would be interested to see the end results if you do not mind sharing. Good luck with your interview and post. Keep us posted please.
Rami - As far as construction is concerned, would you agree that AI could be used for project projections, intelligent recommendations, success/failure likelihood calculations, and refined suggestions that mature as the intelligence supporting the system improves with # of inputs/projects over time? Same might apply to Medicine/Healthcare projects surrounding health/medicine, though the end-user contact will always be by real-humans...(for the foreseeable future at least).
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1 reply by Rami Kaibni
Jun 08, 2018 7:28 PM
Rami Kaibni
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It could yes but this would be like a dynamic robotic data base made out of lessons learned over the years and when the project characteristics are entered, it could come up with initial recommendations, assumptions and other high level input.
avatar
Rami Kaibni
Community Champion
Senior Projects Manager | Field & Marten Associates New Westminster, British Columbia, Canada
Jun 08, 2018 6:32 PM
Replying to Steve Boerner
...
Rami - As far as construction is concerned, would you agree that AI could be used for project projections, intelligent recommendations, success/failure likelihood calculations, and refined suggestions that mature as the intelligence supporting the system improves with # of inputs/projects over time? Same might apply to Medicine/Healthcare projects surrounding health/medicine, though the end-user contact will always be by real-humans...(for the foreseeable future at least).
It could yes but this would be like a dynamic robotic data base made out of lessons learned over the years and when the project characteristics are entered, it could come up with initial recommendations, assumptions and other high level input.
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Sante Delle-Vergini, PhD Senior Project Manager| Infosys Melbourne, Victoria, Australia
One area AI could assist PMP is with simulators where practitioners input data externally and get feedback on formulas, probabilities, lessons learned, but also statistics of the success/failure of project decisions in the past. Also, a "project demographic" database where practitioners could input variable data such as project type, size, geographical location, budget, framework used. etc and get a dashboard on the success/failure, common issues, risks, workarounds etc. All of these can then be mapped to case studies that practitioners can access. Unlike my colleagues, I think eventually AI will take over much of the project management role, including the people side, way down the track. Once we get chips implanted into us, we will be able to access a lot more information, much faster, and be able to update the global database with our own metrics. It will be a live dynamic knowledge base that we all can tap into at any time.
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Naveed Rana GM| ISB Global Lahore, Punjab, Pakistan
Hello Steve,

Quite interesting topic you are working on. Good luck for the great results.

The innovation and research projects being carried out through AI usually have a long learning curve. The success rate of such projects may not be very sure in terms of time and accuracy for AI projects at large.

The processes related to stakeholder management, product scoping, effort estimations, and closure will demand more consideration. Also the tools and techniques related to AI will require elaboration.
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Paul Boudreau President| Stonemeadow Consulting Kanata, Ontario, Canada
1) How do you imagine AI influencing the PMP role in the near future? Where can it be most effective? Why/how?

I am currently building a project management model and AI tools to eliminate the project manager’s role. This may seem drastic(optimistic?) but AI is already better than doctors at diagnosing certain problems and better at investment management than human professionals. The amount of funding for AI is staggering but it is not aimed at project management. I expect that the project management world will be grabbing and adapting tools that are created for other uses.
The problem with AI tools and one of the main concepts that PMPs need to consider is that AI tools promote a piecemeal approach. It might be great to simulate risks or have some predictive analytics on a schedule but it is wrong to use those tools and completely ignore the possible ancillary impact on all other knowledge areas. For example, an AI tool reforecasts your schedule but fails to update quality or risk implications because it has such a narrow focus. Implementation of AI in project management must be a holistic approach.to be most effective and this is something that PMPs should champion.

2) How can the Project Management Institute use AI in a fashion that forwards the impact PMPs have on their projects, programs, or portfolios?

I am not sure what this question means. If it is about education then project managers need to know that AI uses data and most data in an organization is a mess. Implementation of AI requires lots of clean data and it is estimated that 60 to 80% of the time implementing AI will be spent cleaning data in order for data mining to work. If this question is about PMI using an AI tool themselves, then it brings up ethical issues. Will PMI make the members aware that they are scraping their data in order to identify patterns and use that to target them?

3) What links, resources, etc. can you share with the group that forward knowledge of AI and it's relationship to the PPPM Professionals?

There is very little work being done in AI that relates to directly to the uniqueness of project management but I will be posting all my results on my web site. I plan to release any code I develop as open source.

There are numerous resources for AI development such as GitHub, Kaggle, and many others where AI developers share their work. This is accelerating AI development and is one reason why it will happen faster than we expect.

https://ai.google/about/
https://aws.amazon.com/machine-learning/
https://github.com/
https://www.kaggle.com/

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