Eliminating Garbage In/Garbage Out for Analytics and ML // Roy Hasson & Santona Tuli // MLOps Podcast #166

MLOps Coffee Sessions #166 with Roy Hasson & Santona Tuli, Eliminating Garbage In/Garbage Out for Analytics and ML.

// Abstract
Shift left data quality ownership and observability that makes it easy for users to catch bad data at the source and stop it from entering your analytics/ML stack.

// Bio
Santona Tuli
Santona Tuli, Ph.D. began her data journey through fundamental physics—searching through massive event data from particle collisions at CERN to detect rare particles. She’s since extended her machine …

abstract analytics coffee data data quality easy mlops observability ownership podcast quality shift