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📢 Event: ML practitioners from Affirm, Block, Remitly, Tide & more share their learnings from building risk & fraud detection systems
Want to connect with the ML engineering community and learn best practices from ML practitioners on how to build risk and fraud detection systems? Then join us on May 30 for apply(risk), a free half-day, virtual event!
We’ve got a fantastic speaker lineup—here are some highlights from the agenda:
Cooper Stimson, Software Engineer, Machine Learning Platform at Block, will explore the role of the ML platform in integrating a variety of data sources, tools, and applications.
Francisco Arceo, Engineering Manager at Affirm, will discuss the common pitfalls and share simple approaches to avoiding them.
Aravind Maguluri, Lead Data Scientist, and Tocho Tochev, Lead ML Engineer at Tide, will delve into the technical architecture associated with training, hosting, and running ML models that enable Tide to fight financial crime with machine learning.
Need more reasons to sign up? Register and join us for opportunities to win Visa gift cards!