In this topically relevant talk, we’ll take you on a deep dive into the world of AI/ML platform quality assurance - beyond just model quality. We’ll explore the real-world challenges of ensuring quality and reliability for the unique FULL STACK challenges of AI/ML platforms, and share best practices for testing and monitoring that you can start using right away. Whether you’re a seasoned ML expert or just starting out, this talk will give you valuable insights into how the field of quality assurance is evolving in the age of AI/ML. And if you’re part of a large organization, this talk is especially important - we’ll explore how to navigate the unique challenges of ensuring quality for ML/AI platforms shared by large organizations (5,000+ employees). Join us for a lively and informative discussion that will leave you with some practical strategies for building better AI/ML platforms!
Katherine Cass is a senior engineering manager of an AI/ML Platform Quality at Salesforce. Her current role is leading the scrum teams for Quality Engineering, Tooling and Test Framework Development, AI/ML Support, and Quality Observability/Monitoring for the AI/ML platform at Salesforce.Katherine has been working in quality engineering since 2018, starting with the Core Salesforce application and...