Global supply chains move over $15T in goods annually, yet the retail industry operates on razor-thin margins while drowning in disconnected, siloed data that creates massive inefficiencies and waste.

U.S. retail sales increased solidly for a third straight month in April, though part of the rise in receipts was due to a ...

Shoppers pulled back on spending in April as higher gas prices fueled by the Iran war meant less money left over for some ...

Overview: Machine learning systems analyze massive datasets to identify patterns and automate complex digital decision-making ...

Self-checkout takes work once done by retail employees and makes consumers do it. That's something many retail chains try to sell as a positive, rather than a spending cut. "Self-checkout technology ...

Before it can benefit fully from the evidence-based decision-making that AI promises, the sector first needs to get its plumbing in order. Higher ed is sitting on mountains of data about student ...

Despite the advancements in POS (point-of-sales) systems, retail—or notably certain major retailers—still have an inventory accuracy problem. The issue is not due to theft or shrinkage, but according ...

Abstract: The use of synthetic data has become an increasingly relevant approach in machine learning, especially in situations involving limited, imbalanced, or sensitive datasets. This study presents ...

Enterprise IT has struggled with keeping data clean and accurate for decades. But AI can supercharge the problems caused by bad data. The US-Iran war has delivered a critical lesson for IT leaders.

Spend is climbing, new networks are launching and every platform seems to deliver strong returns. And yet many marketers are asking the same uncomfortable question: How do we know what’s actually ...