Machine Learning Operations (MLOps): Deploy at Scale

Artificial Intelligence and Machine Learning adoption in the enterprise is exploding from Silicon Valley to Wall Street with diverse use cases ranging from the analysis of customer behaviour and purchase cycles to diagnosing medical conditions. Following on from our webinar ‘Getting started with AI’, this webinar will dive into what success looks like when deploying […]

Getting started with AI

From the smallest startups to the largest enterprises alike, organisations are using Artificial Intelligence and Machine Learning to make the best, fastest, most informed decisions to overcome their biggest business challenges. But with AI/ML complexity spanning infrastructure, operations, resources, modelling and compliance and security, while constantly innovating, many organizations are left unsure how to capture […]

The post Getting started with AI appeared first on Ubuntu Blog.

Machine Learning: serving models with Kubeflow on Ubuntu, Part 1

This article is the first in a series of machine learning articles focusing on model serving. I assume you’re reading this article because you’re excited about machine learning and quite possibly Kubeflow as well. You might have done some model training and are now trying to understand how to serve those models in production. There […]

The post Machine Learning: serving models with Kubeflow on Ubuntu, Part 1 appeared first on Ubuntu Blog.

Kubernetes and OpenStack solving AI complexities at scale

Stu Miniman and John Boyer of theCUBE interviewed Stephan Fabel, Director of Ubuntu Product and Development at the OpenStack Summit in Vancouver. Read on for the full interview, and to hear more on Kubernetes, Kubeflow and MicroK8s. OpenStack has entered a new phase, maturing to a point where those in attendance are serious about open […]