A nuclear engineer won over to information technology. 25 years of ICT coding, design, research and management for Engineering Ingegneria Informatica. Currently, he deals with supply engineering through the proposition of architectural solutions and innovative technologies in different market areas. PMP®, PMI-ACP®, an enthusiast of traditional and “agile” Project Management. Blogger, trainer, mentor and coach for preparation for PMP certification. He has intervened in various training events and industry webinars for Engineering’s IT & Management School, the Project Management Institute, and Luiss University.

MARKET | 17 Jan

Project Management and Artificial Intelligence

How machine learning methods and algorithms can back up more traditional Project Management Analytics tools
"Any artificial intelligence smart enough to pass a Turing Test is smart enough to know to fail it." Ian McDonald In a previous Ingenium article we learned 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 (Artificial Intelligence). The increasing availability of low-cost machine and deep learning[…]