How to Deploy ML models with AWS Lambda
This blog post is part of our series on Serverless Inference for Machine Learning models accompanying our KubeCon 2020 talk: Serverless for ML Inference on Kubernetes: Panacea or Folly? We'll be hosting a live replay on December 2nd at 2 PM ET for anyone…
The third wave of operationalization is here: MLOps
Using machine learning models in products is hard. Most companies fail at extracting value from them because they can't operationalize models properly.
Model Management & Operations Platform for Production Machine Learning
Today, I’m thrilled to announce the formal launch of the Verta Model Management and Operations platform, and Verta’s $10M Series A funding led by Intel Capital. With the Verta Platform, we help data science teams to tame the chaos of brittle and fragmented…
Robust MLOps with Open-Source: ModelDB, Docker, Jenkins and Prometheus
A few weeks back, I had the pleasure of giving one of the four talks on the ML in Product Talk at the Strata OReilly Superstream. Since the Strata in-person conference got canceled, the fantastic folks at OReilly organized an extremely well-attended…
Making your Scikit-learn models reproducible with ModelDB 2.0
At Verta, we ran our first ModelDB 2.0 webinar last week and it was a lot of fun. This blog post is a recap of the hands-on tutorial part of the webinar. For the full webinar content, check out the webinar recording on the Verta Youtube channel and the…
