Kalshi Builds AI Agent to Stress-Test Prediction Market Bets

Kalshi Inc. has developed its own AI agent to help deal with a number of internal processes, including some of the thorniest ...

How a machine learning engineer built a churn prediction model that transformed a subscription platform’s retention strategy

A subscription technology platform with over 100,000 users was losing customers each month despite having access to ...
blockchain

LLM Agents Help Win Kaggle Competition with 600K Lines of Code

Generative AI agents produced 600,000 lines of code and ran 850 experiments to secure first place in a Kaggle competition. Here's how they did it. In March 2026, a team leveraging generative AI agents ...
GitHub

customer-churn-prediction

In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest ...
Analytics Insight

10 Exciting Python Data Science Projects Using Jupyter for Beginners

Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets make each project practical and industry-relevant. Skills gained cover analysis, ...
CMS Wire

Beyond NPS: The Customer Trust Analytics Model for CX Strategy

Gaining customer trust has long been cherished among executive teams as a way to build brand value. Traditional metrics have been central for managing customer trust. But digital media and associated ...
IEEE

Predicting Customer Churn in Retail Using Machine Learning on Transaction Data

Abstract: Customer churn prediction is critical for businesses to retain customers and reduce revenue loss. This paper presents a retail customer churn prediction study. We preprocess transactional ...