Abstract: The growth of retail data has made it possible to use machine learning to better understand customer behavior and improve decision-making. This paper examines supermarket sales data and ...

Those pushing for a controversial new AI data center in Chandler — a cohort that includes paid not-technically-a-lobbyist Kyrsten Sinema — have made big promises about how it would save the city water ...

As wealthier areas are pushing back against huge A.I. data centers, speculators are pitching places like Doña Ana County, N.M., on their vision. Local officials are eager for a deal — even if they don ...

Three business analytics case studies were undertaken, encompassing market basket analysis, customer segmentation, and campaign management. SAS Visual Data Mining and Machine Learning on SAS Viya was ...

This project segments 9,999 high-value retail customers using RFM (Recency, Frequency, Monetary) methodology. The analysis identifies distinct customer groups and provides targeted business ...

Online identity must shift from storing customer data to requesting verifiable proofs. zkTLS turns verification into a yes or no proof, not a document upload, which ties back to the goal of proof over ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

For startups and established businesses, understanding the importance of segmentation is essential for the granular analysis of consumer demographics, behaviors, needs, and preferences. These insights ...

Customer Data Platforms (CDPs) represent a revolutionary approach to managing customer information in today's digital landscape. These sophisticated systems unify disparate customer data from multiple ...