Examines how Kranthi Kumar Routhu anticipated major shifts in AI-driven human capital management, from skills intelligence ...
As transformation becomes continuous, enterprises must align strategy, agility, and intelligence to deliver measurable, ...
China's manufacturing upgrade plan 2026 outlines MIIT’s roadmap for smarter digitalized production. Explore key features and ...
Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...
Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
Forests represent a cornerstone of global ecological processes, providing essential services such as carbon sequestration, biodiversity support, and climate ...
Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...
True ROI for R&D won't come from the tool that generates 10,000 new ideas. It will come from the tool that confidently tells ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
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