Building Prediction Pipelines that Rock in the Real World

Explore a comprehensive conference talk on building effective prediction pipelines for real-world applications. Dive into the challenges of developing scalable and performant microservices in cloud environments. Learn about collecting data, constructing models, serving predictions, and evaluating candidates. Gain insights from Albert Gorski, Lead back-end Developer at mobile.de, as he shares practical strategies for implementing prediction pipelines using technologies like Scala and Akka. Discover how to overcome common obstacles and create robust solutions for data engineering projects. Perfect for developers and data scientists looking to enhance their skills in building production-ready prediction systems.

Introduction
Collecting data
Building the model
Serving model
Checking a candidate
Conclusion