The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
AI-Driven Risk Sensing and Anomaly Detection for Predictive Project Management: Designing Early Warning Systems to Enhance Resilience and Decision-Making
|
|
Author(s): Vennela Mamidi (Woxsen University, Hyderabad, India), Harini Edala (Woxsen University, Hyderabad, India), Joel Pramod Manekshaw (Woxsen University, Hyderabad, India), Sujit Singh (Woxsen University, Hyderabadd, India)and Afzalur Rahman (Woxsen University, Hyderabad, India)
Copyright: 2026
Pages: 28
Source title:
Agile AI-Powered Project Management for Modern Delivery Organizations
Source Author(s)/Editor(s): Otmane Azeroual (University of Hagen, Germany)
DOI: 10.4018/979-8-3373-6851-1.ch007
Purchase
|
Abstract
The objective of this chapter is to propose a modernized framework for IT project management that addresses the shortcomings of traditional methodologies. It will argue for a shift from rigid, reactive models to an adaptive, proactive approach. The chapter demonstrates how integrating real-time data analytics and continuous risk monitoring can enhance flexibility, improve decision-making, and prevent the accumulation of unseen risks. Ultimately, it aims to outline the principles of a data-driven management strategy capable of delivering successful project outcomes in today's volatile technological landscape.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|