AI & Big Data are growing very fast, decision making will be more on machine dependent rather than human, so will there be need of project management in future? Saving Changes...
Sort By:
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
Please let me say that is something wrong into your statement. First of all, please let me say that I am working with AI (I have a master degree on the field) and what today is a new buzzword "Big Data" from 1989. Here my comments: 1-AI does not replace human being to take decisions. When you work with AI you understand that because you experience in the real life how AI work. 2-Big Data is a layer inside a whole architecture named "business intelligence". 3-today you are surrounded of AI devices from refrigerators to cel phones and that includes project management tools. Saving Changes...
Senior Projects Manager | Field & Marten AssociatesNew Westminster, British Columbia, Canada
I fully agree with everything Sergio mentioned. Great feedback Sergio. Saving Changes...
Anish AbrahamPrivacy Program Manager| University of WashingtonAuburn, Wa, United States
I think AI could offer some supporting role to project managers, by automating repetitive tasks, and perhaps discovering errors before they happen. Other than that, I agree with Sergio's feedback. Saving Changes...
Some aspects will remain, like managing/programming the robots, some human interaction elements. But even these may go away when the robots can program themselves and be able to provide stakeholder engagement. I have no issue talking about my feelings to a robot lol, they may even provide a better response than some humans :-) Saving Changes...
Martin PaverCEO| Projecting Success LtdUnited Kingdom
I set up the London Project Data Analytics Meetup in late 2017 and we invite speakers to present on the subject. In my view, it will be transformational. But success will be dependent upon 3 main factors. 1. Vision - understanding the art of the possible and how it could be delivered. 2. Skills - have the expertise to deliver the vision. 3. Data - Having access to the body of data to feed the machine learning algorithms.
Companies such as ALICE and nPlan help to point the way. By collating every single construction schedule on the planet they have insights that no one individual or organisation could ever have. They can integrate this information to forecast and optimise a future schedule. Schedules can autoupdate based on the weather forecast; the dataset enables the machine to understand the impact of weather and replan accordingly. This is something a human would find very difficult to do unaided.
If we can apply it to schedules, why not risk, cost or any other project management discipline?
It will have the biggest ever impact on our careers as project managers. Saving Changes...
Community Champion
