Modern CX depends less on where data lives and more on how signals, AI, and governance come together at decision time.

The future of customer targeting isn't about knowing more—it's about acting faster and smarter on what you already know.

Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.

Wiland™, the leading provider of data-driven marketing intelligence, today announced the launch of MarketSignals™ Custom Personas, a new custom segmentation solution that uses proprietary consumer ...

Request To Download Free Sample of This Strategic Report @- The global reinforcement learning market is experiencing a period of rapid growth, with revenue estimated to increase from approximately $3 ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Numerous challenges, including the variable anatomy of SC, ...

Abstract: Customer segmentation is a method that uses un- supervised machine learning to segment customers by common characteristics, behaviors, and wants. This technique enables companies to market ...

Abstract: Customer segmentation is needed for every business to survive in the field. Grouping up of customers can be done by finding a similar pattern among customers by analyzing the sales dataset.

There was an error while loading. Please reload this page. This project demonstrates how to build a K-Means clustering algorithm from scratch to segment mall ...