The model registry is a system that allows data scientists to publish their production-ready models and share them for collaboration with other teams and stakeholders. MLOps cannot be done right until you have a state-of-the-art Model Registry.Read More
How to Deploy ML models with AWS Lambda
This post talks about how to get started with deploying models on AWS Lambda, along with the pros and cons of using this system for inference.Read More
The third wave of operationalization is here: MLOps
Most companies fail at extracting value from using machine learning models in products because they can't operationalize models properly.Read More
Secure your machine learning platform
Inspired by the recent Kubeflow exploit for cryptomining. How attackers can take over your ML platform, and how to secure your machine learning platform,Read More
Happy birthday, Git!
Why Git won the battle, its shortcomings, how the ecosystem has improved to counter them, and the key takeaways we need for machine learning.Read More
ModelDB 2.0 is here!
We are excited to announce that ModelDB 2.0 is now available!Read More