Tecton, the machine learning (ML) feature platform company, is hosting apply(recsys), the first conference in the apply() series of events on data engineering and systems architecture for ML recommender systems, on December 6. The free virtual event will feature speakers from ByteDance, Cookpad, Coveo, eezylife, HeyJobs, MLOps Community, Slack and Tecton.

apply(recsys) focuses on the specific challenges of building recommender systems and will cover best practice development patterns, tools of choice and emerging architectures to successfully build and manage production recommender systems applications.

Tecton’s feature platform for ML enables data scientists to turn raw data into production-ready features, the predictive signals that feed ML models. The founders created the Uber Michelangelo ML platform, and the team has extensive experience building data systems for industry leaders

Click here to register.