:::

Data Science and Artificial Intelligence in Project Management: The Past, Present and Future

Stephen Ong, Shahadat Uddin

Abstract


The contemporary landscape of Project Management is continually morphing as a response to the changing demands as well as the developing technology available. This article discusses and uncovers the current state of Data Science and Artificial Intelligence in relation to the Project Management sector. Drawing from this context, the possible future applications and uses are then delineated. Several trends are identified, and the overall findings are synthesised to provide a realistic impression of what the future topography of Project Management holds. The increasingly sophisticated applications of technology will assist in streamlining current industry-standard procedures.


Keywords


Data science; and Artificial intelligence

References


Branscombe, M. (2018). How AI could revolutionize project management. CIO Australia. Retrieved from https://www.cio.com/article/3245773/how-ai-could-revolutionize-project-management.html

Foster, A. (1988). Artificial intelligence in project management. Cost Engineering, 30, 21-24.

Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning: MIT press.

Grabis, J., Haidabrus, B., Protsenko, S., Protsenko, I., & Rovna, A. (2019). Data Science Approach for IT Project Management. Paper presented at the Proceedings of the 12th International Scientific and Practical Conference. Volume II.

Grace, K., Salvatier, J., Dafoe, A., Zhang, B., & Evans, O. (2018). When will AI exceed human performance? Evidence from AI experts? Journal of Artificial Intelligence Research, 62, 729-754.

Hovy, E., Navigli, R., & Ponzetto, S. P. (2013). Collaboratively built semi-structured content and Artificial Intelligence: The story so far.(Report). Artificial Intelligence, 194, 2.

Joachims, T. (1998). Making large-scale SVM learning practical. Retrieved from

Levitt, R. E., Kartam, N. A., & Kunz, J. C. (1988). Artificial intelligence techniques for generating construction project plans. Journal of Construction Engineering and Management, 114(3), 329-343.

Munir, M. (2019). How Artificial Intelligence can help Project Managers? Global Journal of Management And Business Research.

Nayab, N. (2019). An Overview Of Common Data Analysis Techniques Used In Project Management. Bright Hub Project Management. Retrieved from https://www.brighthubpm.com/project-planning/119373-improve-project-effectiveness-by-analyzing-data-correctly/

Nellutla, V. (2018). How Can Project Managers Use Data Science? Data Science Central. Retrieved from https://www.datasciencecentral.com/profiles/blogs/how-can-project-managers-use-data-science

Pedroso, M. (2017). Application of Machine Learning Techniques in Project Management Tools. Instituto Superior T´ecnico - Universidade de Lisboa.

Ram, J. (2017). What Role Does Big Data Have In Shaping The Future Of Project Management. Retrieved from https://www.ipma.world/role-big-data-shaping-future-project-management-part/

Rose, D. (2016). Data Science Create Teams That Ask the Right Questions and Deliver Real Value. Berkeley, CA: Apress.

Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach: Malaysia; Pearson Education Limited.

Sanchez, F., Micaelli, J.-P., Bonjour, E., & Monticolo, D. (2019). A Step for Improving the Transition Between Traditional Project Management to Agile Project Management Using a Project Management Maturity Model. The Journal of Modern Project Management, 7(1).

Schmelzer, R. (2019). AI In Project Management. Forbes. Retrieved from https://www.forbes.com/sites/cognitiveworld/2019/07/30/ai-in-project-management/

Srinidhi, S. (2019). Data Science vs. Artificial Intelligence vs. Machine Learning vs. Deep Learning. Towards data science. Retrieved from https://towardsdatascience.com/data-science-vs-artificial-intelligence-vs-machine-learning-vs-deep-learning-9fadd8bda583

Wang, Q. (2019). How to apply AI technology in Project Management.

Wauters, M., & Vanhoucke, M. (2016). A comparative study of Artificial Intelligence methods for project duration forecasting. Expert Systems with Applications, 46, 249-261.

Whyte, J., Stasis, A., & Lindkvist, C. (2016). Managing change in the delivery of complex projects: Configuration management, asset information and ‘big data’. International Journal of Project Management, 34(2), 339-351.

Williams, N., P. Ferdinand, N., & Croft, R. (2014). Project management maturity in the age of big data. International Journal of Managing Projects in Business, 7(2), 311-317.

Wysocki, R., Beck Jr, R., Crane, D. B., & Martin, A. (1996). Effective project management. Journal of Strategic Information Systems, 5(4), 335-338.


Full Text: PDF

Refbacks

  • There are currently no refbacks.




______________________________________________________________________________

The Journal of Modern PM (ISSN: 2317-3963) | info@journalmodernpm.com