Watch On Demand

The MLOps Live Webinar Series

Session #7

Watch On Demand

Watch on demand

Predicting 1st Day Churn in Real-Time

The MLOps Live Webinar Series is a collection of bi-weekly online events during which data science leaders explore the elements of managing and automating machine learning pipelines to bring data science into real business applications. The sessions go beyond theory, with industry leaders sharing challenges and practical solutions. In this session, we'll be joined by Product Madness to discuss how technology and new work processes can help the gaming and mobile app industries predict and mitigate 1st day user churn in real time.

In this session you will learn:

  1. Why first-day churn is a critical challenge for gaming and mobile app companies worldwide
  2. Why retaining users is much easier than acquiring new users, and why it is so important to understand churn intent specifically on the first day
  3. What kind of data should be taken into account when building a time series model for first-day churn prediction
  4. How to run predictive churn analysis with real-time AI using behavioral data
  5. The key role of MLOps (machine learning operations) in cutting time to market and slashing costs of building AI applications that predict and mitigate first-day churn in real time
Presented By
Michael Leznik

Head of Data Science, Product Madness

Matthieu Glotz,

Data Scientist, Product Madness

Yaron Haviv,

Co-Founder and CTO, Iguazio