apply() is an event series for machine learning and data teams to discuss the practical data engineering challenges faced when building operational machine learning systems. Participants learn from industry experts and share best practices with the community.
apply(fraud_detection) focuses on the specific challenges of building fraud detection systems, from low-latency streaming and real-time data pipelines, to deploying features to production quickly and reliably.
Join us at this event to discuss best practices, tools of choice, and emerging architectures to successfully build and manage production fraud detection applications.
*** Agenda coming soon! ***