Project Management and Artificial Intelligence
Marco Caressa
Ingegnere Nucleare | Project Management Professional | Manager IT | PTR Tennis 10&Under & Performance Instructor
In a previous article I wrote about some Project Management Analytics tools and techniques, which are useful for bringing out regularity and support trends in decision-making from project data.
The next step is to derive inferences from data patterns, in order to develop regressive/predictive models through the contribution of AI. The increasing availability of low-cost machine and deep learning algorithms, not new in themselves, will shortly lead to the evolution of Project Management software from decision support systems towards genuine intelligent systems.
What can you do today and what will you soon be able to do with AI to automate an increasing number of Project Management functions and activities, starting from project data?
Is your role of “human project leader” going to change? Partially freed from PMbots, you should focus on the non-repetitive and difficult to automate tasks, such as communication with stakeholders and team management. In short, in all those activities where creativity, intuition and your experience as a Project Manager will be irreplaceable for a long time yet.
A brief overview of how machine learning methods and algorithms can back up more traditional Project Management Analytics tools in my new article on Ingenium Magazine