Khaled HamdyProjects Advisor to the Director General| Roads and Transport AuthorityDubai, United Arab Emirates
Before I start discussing Artificial Intelligence in Project Management, I would like to discuss Artificial Intelligence in general. What is Artificial Intelligence (AI)? Is it a science? Is it a new technology? Last but not least, is it MAGIC? It certainly seems that way when you look at some of the applications on your SMART phone. For Example, one week after I bought my phone, it knew where I live and where I work. In the morning of workdays, it started giving me notifications about the traffic conditions on my way to work. In the afternoon, it gives me a notification about the traffic conditions on my way home. How did MY PHONE know where I live and work and how did it know what days and times I went to work and left for home? It must have learned all that by itself. That is some kind of intelligence, isn’t it? So now, I come to the definition of Artificial Intelligence. The most convincing definition that I found is (by Patrick Henry Winston): “Artificial Intelligence is a machine’s ability to Perceive, Reason and Act”. There are many different types of Artificial Intelligence including machine learning, natural language processing, speech recognition, vision and image recognition, pattern recognition, expert systems, planning, optimization and last but not least robotics. In my opinion, Artificial Intelligence is a Science that uses the latest Technology to create MAGIC. There are many questions in my mind? The first one is “How can AI be used in PM?” Saving Changes...
Khaled HamdyProjects Advisor to the Director General| Roads and Transport AuthorityDubai, United Arab Emirates
In Engineering Design, Artificial Neural Networks (ANNs) have been used to select the most suitable structural system for High Rise Buildings subjected to wind and seismic loads. ANNs have also been used to estimate the stiffness parameters of frames and trusses based on heuristics and past performance. Genetic Algorithms have been used to optimize the Life Cycle Cost of Buildings in hot climates taking into consideration the different combinations of building’s location, orientation, and the used construction materials. Saving Changes...
Khaled HamdyProjects Advisor to the Director General| Roads and Transport AuthorityDubai, United Arab Emirates
In Cost Estimating and Bidding, Artificial Neural Networks (ANNs) have been used to estimate the suitable mark-up to increase the possibility of winning tenders on construction projects. ANNs have also been used to predict the possible cost over-runs for projects based on the selected contractor, the competence of the project manager, the project size and the type of contract used. Predicting based on a combination of numerical and non-numerical inputs is usually beyond the ability of normal regression models but can be achieved through techniques that emulate human reasoning and pattern recognition. Saving Changes...
Khaled HamdyProjects Advisor to the Director General| Roads and Transport AuthorityDubai, United Arab Emirates
These are based on my review of the literature. These applications and the others I plan to post, are all in research. None of these are commercial on a large scale.We need to discuss why Saving Changes...
Khaled HamdyProjects Advisor to the Director General| Roads and Transport AuthorityDubai, United Arab Emirates
I would like to continue my postings about AI in PM. Here are some more examples.
In Planning and Scheduling, a Knowledge Based Expert System (KBES) was used to provide estimates of the duration and resource requirements for project activities based on expert knowledge to accurately prepare the project schedule even for novice planners. AI was also used to automate the sequencing of project activities based on functional requirements. In another application, Artificial Intelligence has been used to plan off-shore platform projects under un-certain conditions allowing for the testing of several scenarios and suggesting the best scenario to the project manager.
Artificial Neural Networks (ANNs) were used to estimate the probability of occurrence for project risks allowing a more accurate quantitative approach to risk analysis. In another example, ANNs were combined with Monte Carlo Simulation to mimic the human procedure of risk evaluation and adaptation. Saving Changes...
Khaled HamdyProjects Advisor to the Director General| Roads and Transport AuthorityDubai, United Arab Emirates
I would like to say that many people would consider these examples as Narrow or Weak AI. First of all, I prefer the term Narrow AI rather than weak AI. Artificial General Intelligence is what we may be looking for. But let me ask you: Is there something called Human General Intelligence?
For example, I am considered intelligent in solving mathematical problems, but I am totally stupid when it comes to playing music. If human intelligence is Narrow rather than general, why do we try to achieve Artificial General Intelligence?
Ideas, Answers, PLEASE?
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1 reply by Sergio Luis Conte
Jan 11, 2018 3:02 PM
Sergio Luis Conte
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The problem is the concept of AI people have because people do not work with AI. The final decision in AI systems always fall back on human being. Only people that worked and is working with AI will understand it. Like myself that I am working with AI from 1986 up to date.
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Satish SharmaCertified SAP S4Hana 1909 Financials Expert| FreelanceNew Delhi, India
Khaled,
You have brought up a point for discussion which is quite advance in nature and to the stream of project management, it will be interesting to know how greatly and seamlessly it can be incorporated, to my understanding in the areas of : Risk Predictions, Probabilities of meeting Project Schedules etc.. lot to see, lets wait for your further insight. Saving Changes...
Tim PodestaDirector of PM/PMO| Former BP- now IndependentPenn, Bucks, United Kingdom
I like your examples and discussion of where AI already has a role. I think AI is clearly advisory in most of the applications you describe but like our use of personal technology - e.g. blindly following satellite navigation - the advice can both be essential and misleading if there is an error e.g. wrong post code or new road layout,
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1 reply by Sergio Luis Conte
Jan 11, 2018 3:02 PM
Sergio Luis Conte
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You are totally right Tim. From AI you get a set of choices, no more than 3, but you (human being) must take the final option.
Saving Changes...
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
Feb 13, 2017 12:26 AM
Replying to Khaled Hamdy
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I would like to say that many people would consider these examples as Narrow or Weak AI. First of all, I prefer the term Narrow AI rather than weak AI. Artificial General Intelligence is what we may be looking for. But let me ask you: Is there something called Human General Intelligence?
For example, I am considered intelligent in solving mathematical problems, but I am totally stupid when it comes to playing music. If human intelligence is Narrow rather than general, why do we try to achieve Artificial General Intelligence?
Ideas, Answers, PLEASE?
The problem is the concept of AI people have because people do not work with AI. The final decision in AI systems always fall back on human being. Only people that worked and is working with AI will understand it. Like myself that I am working with AI from 1986 up to date. Saving Changes...
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
Jan 11, 2018 12:42 PM
Replying to Tim Podesta
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I like your examples and discussion of where AI already has a role. I think AI is clearly advisory in most of the applications you describe but like our use of personal technology - e.g. blindly following satellite navigation - the advice can both be essential and misleading if there is an error e.g. wrong post code or new road layout,
You are totally right Tim. From AI you get a set of choices, no more than 3, but you (human being) must take the final option. Saving Changes...
I gathered more information on AI and related stuff rather go through few books at once. Thanks for all contributors! I hope this will continue further as well.
I am looking for the opportunities of developing ANN for wastewater modeling, so for that, I am currently reading "Artificial Intelligence Modeling of Wastewater Treatment Plants: Theory, applications, and limitations" by Rabee Rustum,? Adebayo J. Adeloye, the authors who are university professors from Heriot-Watt.
I found this discussion is so worth to realize the multi-facets of AI from different perspectives. Saving Changes...
