This is a blog post about this paper.
Walmart faces an unique challenge when it comes to data labelling as they receive and classify enormous numbers of products and vendors every single day. This paper demonstrates how Walmart balances data labelling through business analysts, labelling vendors, and machine learning with quality assurance at scale through the Chimera system.
While the white paper itself is old, this paper demonstrates the challenges and opportunities in Data-Centric ML when it comes to large scale production. The thoughtfulness and creativity involved in production help Data Scientists to design a data pipeline that aligns more with a real world setting.