If you’re deploying or integrating AI at scale, blind spots can quietly introduce bias, security vulnerabilities or ...

Traditional thinking, on supply chain risk management, like this article by Deloitte consulting, focus on procurement and sourcing strategies. A focus on traditional risk management misses the ...

Recognized as one of the foremost thought leaders in modern operations, Thakre was recently honored with the Global Achievers ...

What differentiates item-level visibility is its granularity. Unlike traditional inventory systems that track boxes or ...

Attackers inject malicious code into AI models hosted on the public repositories. These models allow attackers to manipulate ...

The supply chain operations reference (SCOR) model helps businesses evaluate ... compliance, and risk management. There are three levels used to measure supply chain performance and help ...

Traditional credit risk models, which rely mainly on firm-level information and lack awareness of supply chain links, would overlook these indirect losses. Panel (c) shows the total contagion ...

Traditional models grant vendors broad access ... professionals to rethink their approach to supply chain security. Traditional vendor risk management practices are no longer sufficient in ...

The rise of e-commerce continues to disrupt logistics and supply chain operations, driving the need for faster, more efficient delivery models. As consumer demands ... Innovation From AI-powered ...

A flexible model of supply chain management ensures that production ... processes can improve product quality, reducing the risk of recalls and lawsuits while helping to build a strong consumer ...

All of these combined capabilities should form the basis of your supply chain risk management strategy. Understanding the alternative suppliers and redundancies landscapes are your best insurance ...