The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing high-volume liposuction, reports a study in the January issue of Plastic and ...

AI only creates lasting value when it is woven into the flow of work. Retail and CPG companies must redesign processes so AI ...

In the rapidly evolving landscape of enterprise technology, a quiet revolution is unfolding where monolithic enterprise ...

The growth of the customer journey mapping software market is primarily driven by increasing focus on customer experience management across ...

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 ...

AI has the potential to transform healthcare for the better by freeing up clinicians to refocus on human connection.

Telecom- Across industries, nearly 40% of businesses already use super-apps, digital platforms that bring multiple services ...

What Are Non-Human Identities and Why Do They Matter in Cybersecurity? Security teams often grapple with a pivotal question: How can organizations effectively safeguard Non-Human Identities (NHIs)?

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...