Latest / Agentic Conversations (formally mlops.community)
Why is MLOps Hard in an Enterprise? // Maria Vechtomova & Basak Eskili // #159
MLOps Coffee Sessions #159 with Maria Vechtomova, Lead ML engineer, and Basak Eskili, Machine Learning Engineer, at Ahold Delhaize. Why is MLOps Hard in an Enterprise? co-hosted by Abi Aryan.
// Abstract
MLOps is particularly challenging to implement in enterprise organizations due to the complexity of the data ecosystem, the need for collaboration across multiple teams, and the lack of standardization in ML tooling and infrastructure. In addition to these challenges, at Ahold Delhaize, there is a requirement for the reusability of models as our brands seek to have similar data science…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.