155 citations · 251 across the 23 of their papers we have counts for
Showing cs.SEShow all
2 papers · 1 filter
cs.SE2022★ 29 cited
Operationalizing Machine Learning: An Interview Study
Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein +1
Organizations rely on machine learning engineers (MLEs) to operationalize ML, i.e., deploy and maintain ML pipelines in production. The process of operationalizing ML, or MLOps, co…
cs.SE2021★ 2 cited
Towards Observability for Production Machine Learning Pipelines
Shreya Shankar, Aditya Parameswaran
Software organizations are increasingly incorporating machine learning (ML) into their product offerings, driving a need for new data management tools. Many of these tools facilita…