The popularity of artificial intelligence (AI) and machine learning (ML) techniques will only continue to climb. Applications in the project management space are currently growing, both in academic research and in industry. This paper starts with a brief overview of AI before taking a look at the current state of the discipline in industry as reported by top consulting firms. Continuing onto the relevance of AI techniques in project management as a way to improve combating uncertainty throughout the project management lifecycle. The paper concludes with a brief look at some recent research either comparing or combining AI techniques with established project management methods.

Diana Shealy returned to school after working six years in industry as a data scientist in various start-up enterprise software companies. She’s interested in how traditional library, archives, and information science methodologies can be used in data science to improve the discipline, as well as studying data science ethics and strategy. She currently lives in San Diego, California with her two cats and dog. After completing her MLIS, she plans to continue on and pursue a PhD.