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This time we talked about one of the most vibrant questions for any MLOps practitioner: how to choose the right tools for your ML team, given the huge amount of open-source and proprietary MLOps tools available on the market today.
We discussed several criteria to rely on when choosing a tool, including:
- The requirements of the particular team use-cases
Apart from that, we talked about particular use-cases and discussed the trade-offs between waiting for a new release of your tool to get the missing piece of functionality, switching to another tool, and building an in-house solution.
We also touched the topic of organising MLOps teams and practices across large companies with a lot of ML teams.
----------- Connect With Us ✌️-------------
Join our Slack community: https://go.mlops.community/slack
Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
4.9
2020 ratings
This time we talked about one of the most vibrant questions for any MLOps practitioner: how to choose the right tools for your ML team, given the huge amount of open-source and proprietary MLOps tools available on the market today.
We discussed several criteria to rely on when choosing a tool, including:
- The requirements of the particular team use-cases
Apart from that, we talked about particular use-cases and discussed the trade-offs between waiting for a new release of your tool to get the missing piece of functionality, switching to another tool, and building an in-house solution.
We also touched the topic of organising MLOps teams and practices across large companies with a lot of ML teams.
----------- Connect With Us ✌️-------------
Join our Slack community: https://go.mlops.community/slack
Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
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