Philadelphia communities help AI machine learning get better at spotting gentrification

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.
IEEE

Customer Segmentation Using RFM Analysis and Unsupervised Machine Learning: A Data-Driven Framework for Strategic Marketing

Abstract: In the highly competitive e-commerce landscape, personalized marketing strategies have become vital for customer retention and profitability. This study presents a comprehensive, data-driven ...
Morningstar

Wiland™ Launches MarketSignals™ Custom Personas: Data-Driven Segmentation to Find, Keep, and Grow High-Value Customers

MarketSignals™ Custom Personas powered by real spend data—built to help you find, keep, and grow your most valuable customers. Wiland™, the leading provider of data-driven marketing intelligence, ...
IEEE

Machine Learning Pipelines with AWS SageMaker for Customer Churn Analysis

Abstract: This study described the creation and application of automated machine learning pipelines on AWS SageMaker for predicting customer churn in telecommunications. Recognizing the importance of ...