apply() Session + Video Archive

Powering ML Fraud Detection Models With Advanced Aggregations

Mike Del Balso, CEO & Co-founder, Tecton

A Decade of Risk Machine Learning: Some Lessons Learned

Francisco Arceo, Engineering Manager, Affirm

Solving Twitter's Bot Problem With Code

Devvret Rishi, Co-founder and Chief Product Officer, Predibase

Access Control in ML Feature Platforms

Cooper Stimson, Software Engineer, Machine Learning Platform, Block

Fraud Prevention: Best Practices In ML Observability

Dat Ngo, Data Scientist and ML Engineer, Arize

Fighting Fraud with Machine Learning at Remitly

Jake Weholt, Engineering Manager, Machine Learning - Fraud Detection, Remitly

Challenges at the Intersection of ML & Real-Time Data: Lessons Learned Spam Fighting at Facebook

Louis Brandy, VP Engineering, Rockset

Fighting Financial Crime With Machine Learning at Tide

Aravind Maguluri, Lead Data Scientist, Tide

Tocho Tochev, Lead ML Engineer, Tide

Workshop: How to Build a Real-Time Fraud Detection Application With a Feature Platform

Vincent Houdebine, Senior Solutions Architect, Tecton