Tag: MLOps
Episode 534: Andy Dang on AI / ML Observability
Andy Dang, Head of Engineering at WhyLabs discusses observability and data ops for AI/ML applications and how that differs from traditional observability. SE Radio host Akshay Manchale speaks with Andy about running an AI/ML model in production and how observability is an important tool in diagnosing and detecting various failures in the application. They explore […]
Episode 473: Mike Del Balso on Feature Stores
Mike Del Balso co-founder of Tecton discusses Feature Stores and how it helps operationalize Machine Learning. Akshay spoke with Mike about data engineering challenges to connect signals that make a feature from various data sources to a Machine Learning Model during training and to serve it in production. Mike talks about challenges faced by engineering […]
SE Radio Alerts
