ML Progressive Rollouts with Seldon and Iter8
Once you have a machine learning model in production that is providing benefit one of the next challenges you will meet is […]
Bridging the Data Science Gap in MLOps – Seldon Core 1.8 Released!
As organisations adopt MLOps into their business-as-usual operations, further standardisation is introduced to ensure governance and compliance. As the MLOps strategy matures […]
Kubecon Europe: Benchmarking machine learning performance at scale
Last week, Seldon’s Director of Machine Learning, Alejandro Saucedo, gave a talk at KubeCon Europe – a flagship four-day conference hosted by […]
Taking MLOps to the next level with metadata management and other great features – Seldon Deploy 1.2 Released!
As organisations utilise machine learning for a growing number of tasks, the ability to ensure proper governance, auditing and discoverability of those […]
Real Time Machine Learning at Scale using SpaCy, Kafka & Seldon Core
A hands on tutorial to train and deploy a Sklearn SpaCy model to process real time Kafka streaming data using Seldon Core […]
How Seldon’s Alibi and Ray make Model Explainability Easy and Scalable
Written by Seldon’s Alexandru Coca and Anyscale‘s Bill Chambers Serving models at scale is only part of the battle. In general, you’re […]
MLOps: Isn’t that just DevOps? Ryan Dawson speaks at MLOps Coffee Session
Ryan Dawson, Engineer at Seldon, digs into what separates MLOps and DevOps in this video session with the MLOps.community. Abstract: It can […]