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Blog posts tagged
"AIML"


Andreea Munteanu
18 May 2023

AI in the public sector: practical applications and use cases

AI Article

The public sector is investing heavily on artificial intelligence and machine learning initiatives. Deloitte AI Institute reported that 60% of government AI and data analytics investments aim to directly impact real-time operational decisions and outcomes by 2024. From automating redundant tasks to increasing the quality of services offer ...


Canonical
9 May 2023

5가지 주요 MLOps 과제

AI Machine Learning

ChatGPT가 출시된 후, AI/ML 시장은 갑자기 모든 사람에게 매력적으로 다가왔습니다. 하지만 프로젝트를 시작하기가 그렇게 쉬울까요? 더 중요한 것은, AI 이니셔티브를 확장하기 위해 무엇이 필요할까요? 머신러닝 워크플로우 자동화에 대한 해답은 MLOps 또는 머신러닝 운영입니다. MLOps 도입은 DevOps를 도입하는 것과 비슷합니다, 다른 사고방식과 작업 방식을 수용해야 합니다. 하지만 이런 종류의 이니셔티브가 창출하는 투자 수익은 그만큼 노력할 가치가 ...


Tytus Kurek
26 April 2023

ChatGPT uncertain about the future of cloud computing

Cloud and server Article

ChatGPT has been the talk of the town for more than four months now. As the first ever artificial intelligence (AI) -powered chatbot, it has quickly gained immense popularity, helping students, engineers and even executives generate content, write and debug code and run market analyses. But could ChatGPT be used for anything other than na ...


Andreea Munteanu
10 April 2023

Open source MLOps at Kubecon with Canonical

AI Article

Date: 17-21 April 2023 Location: Amsterdam  Booth: P15 In just a few weeks, Kubecon will be held at RAI Convention Center, in Amsterdam, the Netherlands. After a bunch of news from the industry around AI projects, such as GPT4 or MidJourney4, Canonical is also ready to bring open source into the landscape. Among the attendees, ...


Canonical
29 March 2023

Charmed Kubeflow 1.7 is now available

AI Article

Run serverless ML workloads. Optimise models for deep learning. Expand your data science tooling.  Canonical, the publisher of Ubuntu, announced today the general availability of Charmed Kubeflow 1.7. Charmed Kubeflow is an open-source, end-to-end MLOps platform that can run on any cloud, including hybrid cloud or multi-cloud scenarios. T ...


Andreea Munteanu
8 March 2023

Charmed Kubeflow 1.7 Beta is here. Try it now!

AI Article

Canonical is happy to announce that Charmed Kubeflow 1.7 is now available in Beta. Kubeflow is a foundational part of the MLOps ecosystem that has been evolving over the years. With Charmed Kubeflow 1.7, users benefit from the ability to run serverless workloads and perform model inference regardless of the machine learning framework they ...


Andreea Munteanu
3 March 2023

Top 5 MLOps challenges

AI Article

After ChatGPT took off, the AI/ML market suddenly became attractive to everyone. But is it that easy to kickstart a project? More importantly, what do you need to scale an AI initiative? MLOps or machine learning operations is the answer when it comes to automating machine learning workflows. Adopting MLOps is like adopting DevOps, you ...


Andreea Munteanu
2 February 2023

From model-centric to data-centric MLOps

AI Article

MLOps (short for machine learning operations) is slowly evolving into an independent approach to the machine learning lifecycle that includes all steps – from data gathering to governance and monitoring. It will become a standard as artificial intelligence is moving towards becoming part of everyday business, rather than an innovative act ...


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 ...


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
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 ...