When CFOs harness data with intent, they can transform governance from a compliance exercise into a strategic asset.

This study investigates the integration of risk assessment and deep learning-based anomaly detection (AD) for efficient risk management in the use of swarm drones. Deep-learning techniques and risk ...

Data-informed decision-making is an iterative process and must been seen as part of continuous improvement. It cannot be viewed as a one and done approach to change. The Role of AI in Data-Informed ...

Climate Risk Informed Decision Analysis (CRIDA) is part of the ongoing technical support for watershed planning in the Guayabin sub-basin of the North Yaque River Basin in the northwestern region of ...

AI Deregulatory Trends Continue; CPPA Board Proposes Revised Draft Regulations on Automated Decision-Making Technology, Risk Assessments, and Cybersecurity Audits ...

Data-informed decision-making is reshaping the global science and technology (S&T) ecosystem by enabling actionable insights that enhance research visibility, improve resource allocation, and lead to ...

This research provides a methodological framework to support decision-making. The framework takes into account the presence of complex systems and the need to reduce the uncertainty associated with ...

This phenomenon significantly affects decision-making processes and warrants further investigation. Despite the growing prevalence of short video addiction, research on its impact on risky ...

Many organizations implementing AI agents tend to focus too narrowly on a single decision-making model, falling into the trap of assuming a one-size-fits-all decision-making framework, one that ...