The autonomous AI entities are almost ready to help us in difficult and dangerous projects, where we could not deploy traditional workers. On Nov 16th, there was an article at phys.org about readiness of humanoid-robot-prototype.
Think of year 2025, your project needs 2 teams of 7 humanoid robots to accomplish challenging tasks, as cost-benefit analysis rules out traditional workers/methods. What knowledge and skill-sets could be useful for PM leaders as well as PMO? Here are some suggestions,
-It’s definitely going to be different than maintaining a collection of mechanical devices, as these AI robots should be able to self-repair using 3D printing and other necessities.
-The AI robots should be able to share real-time data of task performed and help with on-demand EVM dashboard. So, accurate and timely forecasting, budgeting, scheduling, etc. for the project.
- Despite better cost-benefit ratio, the AI robots would cost a lot. For PM skill-set, what type of information would be helpful to determine ‘right-size’? Would you just use ‘simplex computation’ or rely on a robot-related SME or, simply Ask Siri like services for solution? Saving Changes...
Let’s talk turkey …over this TG Holiday (pun intended).
Presently, there is no one available with long experience or expertise in Artificial Intelligence applications, as AI technology is about to leave lab to join mainstream workplace. So, please do not worry that someone may criticize your position on this topic. In fact you can post anonymously. ‘Hope you can contribute to this discourse
The core of this posting is about …How PM can use their accumulated experience, knowledge and ‘situational understandings’ to brand new situation of AI application for project management/PMO? Saving Changes...
I'm no AI expert, but I've dealt with one or 2 computer enabled solutions....
I think you have an ecosystem of project types to deal with:
1) How do you design the intelligent part of the system (the brain)
2) How do you integrate intelligence into a device (the robot the brain serves)
3) How do you integrate intelligent devices into a larger context (the robots in the factory)
I see it as a complex (and complicated :-) feedback and control system. I think the following functions and knowledge areas are required to different degrees for each and a PM should have some knowledge of them:
1) Where does the data come from to make decisions (e.g. the robot's sensors)
2) How is the data transformed into a decision (the computational mechanics and computing methods like one master brain or independent brains)
3) How the device uses the data for feedback and control (moving the arms from where they are, to where they should be)
4) How the enabled device interacts with the environment (what is needed from the robot in the factory)
4) How multiple AI devices coordinate (robots helping robots)
5) Care and feeding of the robots and their brains (mechanical and electronic evaluation, maintenance, and upgrades) Saving Changes...
Great thoughtful question. I think strategic planning, leadership and cultivating project communication, among others, are PM skills that can be helpful to work hand in hand with AI applications to generate real-time data and insights. Hope to learn from the community. Saving Changes...