We discuss constructing ML pipelines across federated data and computing environments, as well as building production-ready AI applications that work in hybrid environments.

Michael Leznik - Head of Data Science Matthieu Glotz - Data Scientist Yaron Haviv - CTO & Co-Founder We discuss how technology and new work processes can help the gaming and mobile app industries predict and mitigate 1st-day (or D0) user churn in real time — down to minutes and seconds using modern streaming data architectures such as KAPPA. Also, we explore feature engineering improvements to the RFM (Recency, Frequency, and Monetary) churn prediction framework: The Discrete Wavelet Transform (DWT).

Building scalable #AI applications that generate value in real business environments require not just advanced technologies, but also better processes for #datascience, #engineering and #devops teams to collaborate effectively. We will be deep diving into this topic on our next #MLOpsLive webinar with: Greg Hayes, Data Science Director at Ecolab and Yaron Haviv, our Co-Founder and CTO.