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

Follow us on twitter:@mlopscommunity

Sign up for the next meetup: https://zoom.us/webinar/register/WN_a_nuYR1xT86TGIB2wp9B1g  

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

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