By fostering collaboration and knowledge-sharing among professionals across diverse domains, Gathers accelerate innovation and promote the effective implementation of AI/ML solutions in businesses in Europe. Their approach focuses on providing practical guidance from industry insiders but also creates an environment that encourages active discussion and shared insights among peers. Gather's Paper club is a Community forum where AI & ML practitioners can come together and have live discussions about AI/ML topics and research papers.

Join our moderators event with Gathers' Paper Club where we will discuss "From MLOps to ML Systems with FTI pipelines". In this talk we will discuss how MLOps and ML Pipelines for architecting machine learning (ML) systems are quickly becoming the de facto way to build production ML systems with a Feature Store. You will learn how to architect your ML systems as Feature pipelines, Training pipelines, and Inference pipelines that are connected together via a Feature Store and managed by best practices from MLOps. We will present examples of ML Pipelines for both batch ML systems and online ML systems in the context of the Hopsworks platform.

You will learn about best practices for feature engineering, managing data for model training, and batch/online inference in Python, Spark, and Flink/Beam and learn about how a Feature Store can accelerate your time to value for ML.

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