Data and Business Analytics

Description

This session focuses on advanced data analytics and artificial intelligence as key enablers of real-time, resilient, and intelligent decision-making in organizational environments characterized by permanent disruption. It examines how organizations leverage large-scale, heterogeneous, and streaming data to sense change, anticipate risks, and respond rapidly to evolving conditions. Emphasis is placed on AI-driven and data-centric models for prediction, optimization, and prescriptive decision support under uncertainty. The session addresses contemporary analytical frameworks that integrate data analytics, machine learning, and computational intelligence into core organizational processes. Contributions may explore applications across strategic, tactical, and operational decision-making, as well as issues related to robustness, adaptability, and scalability of analytics solutions. We invite both theoretical and applied research that advances the role of data analytics in building resilient and intelligent organizations. Interdisciplinary and mixed-methods approaches are particularly welcome.