Research report·
Emerging practices in MLops / DataOps
Data for the report comes from the 23rd edition of our Developer Nation survey, which ran between June 2022 and August 2022.
Questions this report answers
What MLOps/DataOps practices are developers using, and using in combination?
What are the differences in MLOps/DataOps practices between developers in different sectors?
What impact does how the data is stored have on MLOps/DataOps practices?
How does the amount of data ML/data scientists use for training their models have on their choice and use of MLOps/DataOps practices?
How does the motivation of those involved in ML/AI have on their choice and use of MLOps/DataOps practices?