The advancement like auto-correction, google-search, project dashboards, etc. has already changed many traditional practices. As 'Artificial Intelligence' is closely integrated with the 'Project Management software', what new skills/practices will evolve? Saving Changes...
Senior Projects Manager | Field & Marten AssociatesNew Westminster, British Columbia, Canada
It depends on the industry. For example, in construction, I do not see how AI will significantly affect the Project Management exceot probably for production operations like precast concrete.
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1 reply by Ashok Kumar
Aug 29, 2018 1:46 PM
Ashok Kumar
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In construction, I anticipate high risk/ dangerous tasks shifting from human to AI-Robots primarily due to insurance cost. Those bots and other specific tools (like crane, etc.) may get embeded autonomous data collection points, what'll directly feed to project management software. Such data will be used to generate various Efficiency/productivity reports, Cost reports and may be future Budgeting.
Most likely, things will change in step-by-step manner. To a minimum, the 'Requirement Analysis' and 'parameterization of Management system' will have greater role.
I THINK THAT CURIOUS OR DEBATIBLE DATA SHOULD BE PROPOSED FOR THIS FORUM, NOT BASIC AND UNFOUNDED THINGS TO GENERATE VALUE IN THE PROJECT MANAGEMENT PROGRAM Saving Changes...
It depends on the industry. For example, in construction, I do not see how AI will significantly affect the Project Management exceot probably for production operations like precast concrete.
In construction, I anticipate high risk/ dangerous tasks shifting from human to AI-Robots primarily due to insurance cost. Those bots and other specific tools (like crane, etc.) may get embeded autonomous data collection points, what'll directly feed to project management software. Such data will be used to generate various Efficiency/productivity reports, Cost reports and may be future Budgeting.
Most likely, things will change in step-by-step manner. To a minimum, the 'Requirement Analysis' and 'parameterization of Management system' will have greater role. Saving Changes...
It appears that present AI development is closely tied with Big Data server. We have seen IoT devices (electronic ID cards, smart phones/pads, implanted chips, etc.) can collect data ...efficiently and correctly.
Any government would not set regulations to slow down technological developments. Unless there is general perception that AI development has stabilized or unforeseen disaster happens, the regulation around Big Data & AI would be minimal. The private enterprises would continue to self-regulate their endeavors.
Coming back to topic of project management, the project-relevant active stream of Big data can help in correct computation of any type of data (resources, schedules, forecasting, budget, etc.). The integration of AI in Project Management efforts multiplied with seamless integration of EEF & OPA would enable major shift in how project is managed. The expert judgement may change to 'asking Siri like service'.
Now, the question is 'What PMs need to learn to be more effective in their role?' Saving Changes...
You have posed a really interesting discussion Ashok as foresight/futures is always of interest to me. Undoubtedly AI is transforming data collection and high-risk jobs . Many industries are still working out sorting Big Data and applying AI for that "seamless integration" of enterprise environment factors and the organization's asset tools you mention. You say the private enterprises would continue to self-regulate their Big Data and AI endeavors, rather than governments slowing down the tech developments. There are many privacy and ethics considerations. Do you feel that enterprises are sufficiently addressing this currently and that government should stay out of regulating for now? Saving Changes...
A continued shift in focus for learning from the mechanics of PM to the soft skills... Saving Changes...
Alok PriyadarshiProject Manager| Tata Consulting Engineers LimitedJamshedpur, Jharkhand, India
I agree with Kiron. Soft skills is going to be important one for PM in the era of AI. PM will be successful by applying soft skills in project.
Thanks Ashok for sharing very relevant futuristic topic. Saving Changes...
Project management, and Systems Engineering are very closely related and one of the big new changes in Systems Engineering is Model Based Systems Engineering. This is where traditionally document based information, is modeled in an electronic format such as a schedule is modeled as a network of tasks. By linking the models, changes in one area that affect others can automatically cascade throughout the others. (e.g. by changing the schedule duration in one model it automatically recalculates the costs in another).
One of the exciting things about this is that algorithms can be used to optimize the models such as genetic algorithms that change variables, evaluate the predicted output changes, keep the good ones and discard the bad ones. This has very powerful potential for developing plans, but can also yield some very unusual and non-feasible results.
In a more AI enabled world, I think PMs will have a larger role in intelligently designing the models that the algorithms will use for optimization, require a better understanding of how the algorithms work, and they will need to learn to interpret the output to make qualified judgments based on what the AI decided was the optimal solution. Saving Changes...
Greg GithensAuthor, "How to Think Strategically." Executive & Leadership Coach| Catalyst & Cadre LLCLakewood Ranch, Fl, United States
One key element of futures literacy is that it is unwise to "know" the future or seek to make predictions.
I believe that AI will have impact, perhaps great in some areas, and little impact in others. I know that's vague.
The best approach is more and better experimentation. Stay open to possibilities. Saving Changes...
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