Big data

Study reveals why business leaders still prefer spreadsheets over AI analytics tools, identifying skill gaps and design barriers preventing adoption of advanced analytics platforms.

Mobile phone data reveals how rural villages in Chongqing mountains shift between different functions on weekdays versus weekends, identifying four distinct village development types.

Study identifies which Industry 4.0 technologies—AI, blockchain, IoT, and others—work best at each stage of food supply chains for minimizing losses and waste globally.

CORE applies Information Bottleneck principles to augment graph data for link prediction, simultaneously recovering missing edges and reducing noise to enhance model robustness.

Examines optimal data analytics strategies for retailers managing supplier encroachment risk under two data governance structures using Bayesian persuasion framework.

Review synthesizes big data and machine learning integration in U.S. infectious disease surveillance, examining data sources and computational methods for detection, forecasting, and control.

Agricultural advisory system integrating vision-language models and retrieval-augmented generation for reliable crop disease identification and knowledge-grounded farmer guidance.

Explore how statistical methods and AI transform U.S. public health disease control through predictive analytics, resource optimization, and data integration while addressing privacy and.

Synthesis of AI integration in accounting: potential to improve reporting, compliance, analytics, and fraud detection, alongside salient risks in transparency, ethics, and data integrity.