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Blog posts tagged
"machine learning"

Andreea Munteanu
24 November 2022

AI/ML in retail: how the shopping experience has changed

AI Article

From brick-and-mortar stores to online marketplaces, retail companies are all increasing their investments in artificial intelligence, in order to gain a competitive advantage! ...

Andreea Munteanu
26 October 2022

Kubeflow just applied to join CNCF – what does it mean for you?

AI Article

Google just announced that they have submitted an application for Kubeflow to become an incubating project in the Cloud Native Computing Foundation (CNCF). It is an initiative supported by the Kubeflow Project Steering group. The request is visible to everyone and it represents a game changer for the rhythm which Kubeflow will develop. It ...

Andreea Munteanu
14 October 2022

Hyperparameter tuning for ML models

AI Article

To create a machine learning model, you need to design and optimise the model’s architecture. This involves performing hyperparameter tuning, to enable developers to maximise the performance of their work. How do hyperparameters differ from model parameters? Michal Hucko, Kubeflow engineer, and Andreea Munteanu, Product Manager will host ...

Andreea Munteanu
17 August 2022

Charmed Kubeflow 1.6 Beta is out: try it today!

AI Article

We are happy to announce that Charmed Kubeflow 1.6 is now available in Beta. Kubeflow has evolved into an end-to-end MLOps platform for optimised complex model training. We’re looking for data scientists, ML engineers and developers to take the Beta release for a drive and share their feedback! Read on to learn more. Read more ...

Kris Sharma
21 February 2022

Open source Machine Learning toolkit for financial services

Financial Services Article

The financial services sector is adopting Artificial Intelligence technologies at a growing rate. Areas such as asset management, algorithmic trading, credit underwriting, blockchain based finance solutions, fraud detection and claims processing have all seen increased adoption of Machine Learning to drive more robust data-driven decision ...

Valentin Viennot
9 December 2021

How to colourise black & white pictures with OpenVINO™ on Ubuntu containers (Part 2)

AI Article

This blog is the last part of a series – don’t miss parts one and zero. We’re on a mission to demonstrate OpenVINO™ on Ubuntu containers; from the consistently outstanding developer experience to the added trust to your software supply chain. In this blog, I’ll guide you on your way to building and deploying an ...

Valentin Viennot
3 December 2021

How to colourise black & white pictures: OpenVINO™ on Ubuntu containers demo (Part 1)

AI Article

Christmas is coming, but you don’t have a present on hand for your (grand)parents (Mom, Dad, if you’re reading this – I promise this post isn’t drawn from real life!). Looking for a solution? If your loved ones happened to live through the era of monochrome photography, keep reading. You can work some magic with ...

Valentin Viennot
10 November 2021

Intel and Canonical to secure containers software supply chain

Ubuntu Article

Intel and Canonical collaborate to build and publish OpenVINO™ container images based on the Ubuntu ecosystem. This work aims to provide trusted, secure, and developer-friendly container images for AI/ML applications in many industries. The provenance challenge facing cloud software Today, cloud-native developers benefit from an abundance ...

aymen frikha
28 July 2021

From notebooks to pipelines with Kubeflow KALE

AI Article

What is Kubeflow? Kubeflow is the open-source machine learning toolkit on top of Kubernetes. Kubeflow translates steps in your data science workflow into Kubernetes jobs, providing the cloud-native interface for your ML libraries, frameworks, pipelines and notebooks. Read more about Kubeflow Notebooks in Kubeflow Within the Kubeflow dashb ...

robgibbon
20 May 2021

Data Lab, Data Lake, Data Hub: what’s the difference?

AI Article

In this post we’ll explore the concepts of data lake, data hub and data lab. There are many opinions and interpretations of these concepts, and they are broadly comparable. In fact, many might say they’re synonymous and we’re just splitting hairs. Let’s look again. ...

Rui Vasconcelos
17 May 2021

A guide to ML model serving

AI Article

TL;DR: How you deploy models into production is what separates an academic exercise from an investment in ML that is value-generating for your business. At scale, this becomes painfully complex. This guide walks you through industry best practices and methods, concluding with a practical tool, KFServing, that tackles model serving at scal ...

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