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The amazing Byron Allen talks to us about why MLflow and Kubeflow are not playing the same game!
ML flow vs Kubeflow is more like comparing apples to oranges, or as he likes to make the analogy, they are both cheese, but one is an all-rounder and the other a high-class delicacy. This can be quite deceiving when analyzing the two. We do a deep dive into the functionalities of both and the pros/cons they have to offer.

Byron is a Senior Consultant at Servian - a data consultancy in Australia that also has a footprint across APAC as well as the UK. Byron is based in the London office, where he helps organizations discover and build competitive advantage through their data. His focus is on client advisory and consulting delivery related to Experiments and ProductionML (i.e., data science, experimental design, ML model development, MLOps).
Byron has written about a wide range of topics, including the divide between data engineer and scientist, the role of ML in the post-COVID world, and Kubeflow vs. MLflow. Check it all out here: https://medium.com/@byron.allen

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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Byron on LinkedIn: https://www.linkedin.com/in/byronaallen/