apply() 2025 brings machine learning builders and business leaders together to explore use cases, infrastructure, and best practices that deliver measurable ROI. Through deep technical sessions and real-world case studies—covering fraud detection, feature-store monitoring, real-time risk decisioning, and more—you'll leave with proven methods to prevent fraud, accelerate experimentation, and scale ML in production.
by Tecton
apply() 2025 brings machine learning builders and business leaders together to explore use cases, infrastructure, and best practices that deliver measurable ROI. Through deep technical sessions and real-world case studies—covering fraud detection, feature-store monitoring, real-time risk decisioning, and more—you'll leave with proven methods to prevent fraud, accelerate experimentation, and scale ML in production.