Context-Aware Drift Detection with Alibi Detect
We are delighted to announce new research that will give users of Alibi Detect control over which changes to their data distribution […]
Building Goven: an extensible query language in Golang 🧑🍳
Here at Seldon our primary focus is accelerating the adoption of machine learning in production, and so much of our public engineering […]
What is Drift?
Machine learning algorithms learn to make predictions or decisions by learning, from historical data, a model of the underlying process connecting inputs […]
Seldon Deploy featured in Red Hat’s bolstered partner Ecosystem
This week, we’re very pleased to share that Seldon Deploy has been included in Red Hat’s new OpenShift Data Science (ODS) service. […]
Simple Production ML with Metaflow and Seldon
This article was a collaboration between Clive Cox from Seldon and Oleg Avdeev from Outerbounds. Clive is CTO of Seldon and works […]
Adaptive Batching & Kubernetes Infrastructure Robustness – Seldon Core 1.11.0 Released!
The Kubernetes MLOps ecosystem continues to evolve at breakneck speed, however it is critical to ensure the foundational features and functionality of […]
Alibi Explain v0.6.1 Released: Counterfactual Explanations for Any Model
We’ve released Alibi Explain v0.6.1 which features an integration of our research paper Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning. The […]
Bias vs Fairness vs Explainability in AI
Over the last few years, there has been a distinct focus on building machine learning systems that are, in some way, responsible […]
Performance Optimizations and MLFlow Integrations – Seldon Core 1.10.0 Released!
Performance of machine learning models is key when teams and organisations are looking to deploy models at scale. Achieving optimal performance for […]
Seldon releases Alibi Detect v0.7.2
Alibi Detect v0.7.2 features 2 new powerful drift detectors, the Spot-the-diff and Learned Kernel detectors as well as a new online drift […]
What is MLOps?
I recently started a new job at a Machine Learning startup. I’ve given up trying to explain what I do to non-technical […]
Drift Detection: An Introduction
What is Drift Detection? Deployed machine learning models can fail spectacularly in response to seemingly benign changes to the underlying process being […]