The demand for supply chain roles requiring AI skills has outpaced overall labor market growth.

CSCOs are perfectly positioned, in theory, to help navigate the uncertain waters ahead. But CEOs don't trust them.

The practice first emerged in the U.S. as technology companies rushed to secure generation capacity for energy-hungry data centers, and has since spread to Europe and the Middle East.

Good data and AI go hand-in-hand, says Dan Keto, president and chief technology officer with Easy Metrics, Inc., but companies must ensure that data isn't trapped in functional silos.

Hannah Testani, CEO of Intelligent Audit, explains how organizations can start small with AI, automate repetitive tasks, connect siloed data sources, and generate quick wins.

The majority of AI projects fail from a lack of foundational integrity. Clean data and integrated systems are the non-negotiable price of entry for a successful journey.

Commerce Department data showed exports rose in April, shrinking the monthly trade deficit.

As companies incorporate AI into workflows, they’re finding this comes with costs, especially if employees use it heavily or for tasks involving large amounts of data.

David Clear, vice president commercial sales with Symbotic, answers the basic question: Just what is artificial intelligence in the warehouse and supply chain, anyway?

Equipped with the right tools, procurement becomes a true force multiplier, one that drives savings, improves margins and compounds over time.