Sai Prashanth Pathi- AI For Credit Risk: Architecting Explainable Machine Learning For A Regulated Era

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...
HealthcareInfoSecurity

Vercel Traces Customer Data Theft to Agentic AI Tool Breach

Cloud platform provider Vercel said an attacker breached its systems and stole customer data after compromising a third-party ...

Customer due diligence requirements in 2026: three regulators have rewritten the rulebook, and most

If you ran a bank, a payments firm, or a regulated crypto venue in 2025, your customer due diligence requirements were a ...
GitHub

GitHub - wsiqz/customer-segmentation: Customer segmentation using RFM analysis, UMAP, and clustering · GitHub

đź“Ś Project Overview This project focuses on customer segmentation for an online gift store using RFM analysis and clustering techniques. The goal is to identify distinct customer groups based on ...
IEEE

Behavioral Data–Driven Customer Segmentation using Ensemble Machine Learning and Temporal Forecasting

Abstract: Customer segmentation is the basis to improve the effectiveness of customer relationship management (CRM) and targeted marketing. The document presents a different ensemble-based ...
IEEE

Customer Segmentation Using Machine Learning

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 ...
thecooldown

Woman shares her earnings after using Costco 'reverse vending machine'

One Costco shopper went viral after sharing how they made $23 within just five minutes using what could be considered a "reserve vending machine." In the video shared on TikTok by Kerijoe (@_kerijoe), ...