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Blog posts tagged
"AI/ML"

Andreea Munteanu
23 January 2023

What is MLOps going to look like in 2023?

Ubuntu Article

While AI seems to be the topic of the moment, especially in the tech industry, the need to make it happen in a reliable way is becoming more obvious. MLOps, as a practice, finds itself in a place where it needs to keep growing and remain relevant in view of the latest trends. Solutions like ...

Oliver Smith
4 January 2023

WSL and Ubuntu: 2022 year in review

Desktop Article

Join us as we look back at some of the transformative changes to WSL over the last year as well as a roundup of our personal highlights and Ubuntu insights. ...

Andreea Munteanu
14 December 2022

What is MLOps?

AI Article

MLOps is the short term for machine learning operations and it represents a set of practices that aim to simplify workflow processes and automate machine learning and deep learning deployments. It accomplishes the deployment and maintenance of models reliably and efficiently for production, at a large scale. MLOps is slowly evolving into ...

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! ...

Canonical
8 November 2022

Charmed Kubeflow now integrates with MindSpore

AI Article

The integration allows users to leverage deep learning for AI/ML projects within the MLOps platform On 8 November 2022, at Open Source Experience Paris, Canonical announced that Charmed Kubeflow, Canonical’s enterprise-ready Kubeflow distribution, now integrates with MindSpore, a deep learning framework open-sourced by Huawei.  Charmed Ku ...

Andreea Munteanu
8 November 2022

A hands-on guide to work with MindSpore on Kubeflow

AI Article

Looking at the report that Gartner did in 2022 regarding top technology trends, AI engineering represents an important pillar in the near future. It is composed of three core technologies: DataOps, MLOps and DevOps.The discipline’s main purpose is to develop AI models that can quickly and continuously provide business value. For instance, ...

Andreea Munteanu
4 November 2022

Learn about MLOps: Kubeflow at OSXP 2022

AI Article

When: 8-9 November 2022 Where: Booth E32, OSXP Palais de Congres, Paris Open Source Experience is the meeting place for the entire open-source software industry. It gathers more than 4,500 professionals, allowing them to deep dive into open-source technologies, solutions and challenges in France and Europe. The event delves into topics li ...

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
18 October 2022

Kubeflow at CloudExpo Madrid

AI Article

Date: October 26-27 2022 Where: CloudExpo Madrid, IFEMA Madrid CloudExpo Madrid is an important event in the Iberian peninsula that brings together exciting topics from the tech world:  from cloud to security and from digital transformation to task automation. Canonical is happy to attend this year and talk about Kubernetes and its succes ...

Andreea Munteanu
17 October 2022

Meet us at Kubeflow Summit 2022

AI Article

Kubeflow summit aims to bring together users, contributors and professionals who benefit from the open-source MLOps platform. After two unusual years, in 2022 the community decided to take a step further and organise two days that will be all about…Kubeflow So…where and when do we meet? Either virtually or in person, at AMA Conference Cen ...

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 ...

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