Project management has been a subject of great importance and relevance in all industrial and Information Technology projects. As new technologies are getting adapted, the way the projects are run need modifications to include the methods to counter the impact of those technologies.
Digital disruptive technologies like Artificial Intelligence, Machine Learning and Automation greatly impact the project management methodology and confining the PM techniques and best practices to a Project Management Methodology becomes a challenge to the project managers. Agile delivery framework and project governance processes also undergo significant changes in a project delivery. Data mining, predictive analysis and forecasting techniques play a role on how the project is to be delivered.
There is a prediction that by 2030, 80% of the work of today’s project management discipline will go away when AI takes on traditional project management functions such as data collection, tracking and reporting.
The addition of above mentioned project management tools will surely improve the way the projects are delivered and help the managers to understand the new Project risks, and how to mitigate them. An experienced manager learns not only from the methodology or process that he had studied but majorly through his own experience and that of others. A repository of risks of such critical projects that have interface with the emerging technology is boon to them.
THE PULSE by Sivakumar Gopal 