• Ubuntu AI Podcasts | by Canonical

  • By: Canonical
  • Podcast
Ubuntu AI Podcasts | by Canonical By cover art

Ubuntu AI Podcasts | by Canonical

By: Canonical
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  • Summary

  • Ubuntu AI is a community where experts talk about the impact of artificial intelligence, machine learning and data science. There will be technical and business conversations focused on open-source technology and its importance of it in the area.


    Andreea Munteanu, AI/ML Product Manager, and Maciej Mazur, Principal AI/ML Engineer, are your hosts, walking through a wide range of conversations about machine learning operations, open source tooling, artificial intelligence and more…


    If you want to read more from us, you can go to our publication: https://medium.com/ubuntu-ai


    © 2024 Ubuntu AI Podcasts | by Canonical
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Episodes
  • Ubuntu AI | S2E7 | GenAI: news, challenges and trends

    Ubuntu AI | S2E7 | GenAI: news, challenges and trends
    May 22 2024
    33 mins
  • Ubuntu AI | S2E6 | Kubernetes Orchestration for AI workloads: how to optimise it

    Ubuntu AI | S2E6 | Kubernetes Orchestration for AI workloads: how to optimise it
    May 7 2024

    A lot of the AI tools are cloud-native applications. Kubernetes is often used, yet professionals from the ML space lack knowledge about how to maximise its potential. From how to optimise the Kubernetes usage to how Kubernetes orchestrator simplifies the life of a data scientist, this episodes goes into the weeds of Kubernetes for AI specific use cases.

    Together with Pedro Oliveira from Spectrocloud, we discussed about Kubernetes and where the future is going to look like. Listen to the latest episode, to learn more about Kubernetes and what is the role it plays in the AI use cases.

    Learn more about our solutions here: https://ubuntu.com/ai
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    38 mins
  • Ubuntu AI | S2E5 | All about Ops: DataOps, MLOps, DevOps, AIOps

    Ubuntu AI | S2E5 | All about Ops: DataOps, MLOps, DevOps, AIOps
    Apr 16 2024

    The emergence of DevOps has changed the way enterprises handle software delivery processes, leading to faster and improved quality. After DevOps has been coined, other practices such as DataOps, MLOps, and AIOps have emerged. In the podcast, Michelle and Andreea, Data PM and AI Product Managers, respectively, will be discussing the significance of these Ops processes in streamlining and optimizing enterprise data, machine learning, and AI projects and use cases.

    Learn more about our solutions here: https://ubuntu.com/ai
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    29 mins
Politics & Government
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