A Tale of Two Cultures: Integrating Data Science and MLOps to Build Successful ML Products

When the excitement about data science became widespread about 10 years ago, this spurred a lot of proof-of-concept ideas. However, most of these stayed confined in Jupyter notebooks and never made it into production. There are multiple reasons why it has been a lot harder than initially expected to productionize ML models, but the one I want to focus on in this blog post is one that has not been explored in as much depth. In order to create business …

build concept data data science datascience however ideas jupyter jupyter notebooks mlops multiple notebooks production products proof-of-concept science