https://greatexpectations.io/blog/ml-ops-data-quality/
Why data quality is key to successful ML Ops
In this first post in our 2-part ML Ops series, we are going to look at ML Ops and highlight how and why data quality is key to ML Ops workflows.
September 28, 2020
“…we are starting to treat ML like other software engineering disciplines that require processes and tooling to ensure seamless workflows and reliable outputs. Data quality, in particular, has been a consistent focus, as it often leads to issues that can go unnoticed for a long time, bring entire pipelines to a halt, and erode the trust of stakeholders…”