Model poisoning, where training data is manipulated to introduce vulnerabilities or biases, is a significant threat. Here are some strategies to mitigate it. By following these best practices and ...

Leading supply chain organizations are applying orchestration strategies to create opportunities to increase resource utilization, reduce costs and enable faster and more efficient response to the ...

Overview:  Bigger models don’t automatically perform better in supply chains. For routine operations like inventory checks, ...

The semiconductor industry produces around 150 chips per person each year. With them comes massive data, generated from chip design, fabrication facilities, testing processes and supply chain ...

Supply chain leaders increasingly rely on data science to navigate disruptions, optimize operations and drive decisions. Yet data, like crude oil, holds no value unless refined into usable insights.

Analyst Insight: The evolving use of data analytics is helping companies achieve supply chain sustainability objectives in the areas of forecasting, transportation and packaging. Sustainability ...

In a world where data-driven decision-making is increasingly critical to supply chain resilience and agility, many global enterprises still rely on outdated processes to exchange mission-critical ...

The modern supply chain is a sprawling international network that has to be able to react to sudden swings in demand, new ...