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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.

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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.

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Weka report from 2024 showed that 47% of respondents will use the public cloud as the primary place to develop their machine learning projects. This is a result of a correlation of factors which include the need for compute power, easy scalability, and the ability to utilise existing infrastructure already in place on both hybrid clouds and public clouds. Join us to talk more about AI on the public cloud: what are the main benefits and what are the best practices an organisation could implement in order to easier adopt AI and leverage the most the public clouds

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Maciej is not only the host of our podcast, but also an experienced keynote speaker. After a joint keynote at KubeconEU 2023 about highly sensitive data, in 2024, Maciej goes to Paris to talk about the GPU utilisation. During our podcast, we cover a lot of aspects of GPU utilisation. From best practices to existing tooling, there are different angles that Maciej talk about, giving a sneak-peak into his keynote. Are you curious how open source tooling plays a role in optimising the GPU utilisation? Listen to our podcast!

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A special episode is out to talk about NVIDIA GTC 2024. Gustavo Sanchez will give a talk about edge AI deployments to accelerate smart city development. It will focus on how cloud native infrastructure and open source tooling enable such a project. Listed to the podcast to learn more about the use cases, challenges and key considerations for such a use case. From architectural details to possible improvements, Gustavo delights us with tons of useful information. Register now : https://register.nvidia.com/flow/nvidia/gtcs24/attendeeportal/page/sessioncatalog/session/1694086267736001Z5Wf

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Season 2 of Ubuntu AI podcast is here! After a start with great guests and great feedback from our listeners, we are ready to kickstart a new series of episodes. We will continue talking about AI and open source, focusing mostly on the machine learning lifecycle, AI on public cloud, AI at the edge and the security angle of the AI projects. This time around, we will periodically invite contributors to open source projects from the AI space to join us. Stay tuned, great times are ahead of us!

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In this episode, we delve into the intricate world of AI regulations. As artificial intelligence continues to revolutionize various industries, the need for comprehensive regulations becomes increasingly apparent. Join us as we navigate through the complexities of AI governance, discussing the current state of regulations, the challenges faced by policymakers, and the implications for businesses and society at large.

In this episode we host Juan Luis Cano Rodrigues, Principal Product Manager at QuantumBlack, AI by McKinsey.

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In this episode we're talking with the founder of Nextcloud Frank Karlitschek, whom we met during the Ubuntu Summit 2023 in Riga.
We'll dive deeper into the usage of AI in Nextcloud. Learn where, how and why AI solutions are implemented there. 

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Secure and automate the deployment, maintenance and upgrades of Spark on Kubernetes. Run your big data clusters across private and public clouds.

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Bertrand Boisseau, Automotive Industry Lead at Canonical joined us to talk more about the industry, its trends and how artificial intelligence is shaping a new car era. 

AI is being used to optimize the manufacturing processes. It’s being used, especially machine learning in this case for predictive maintenance, basically making sure that, organisations can anticipate when a specific part will have to be changed. Basic use cases such as changing the oil of the car or the breaks are some of the most intuitive ones, but use cases go far beyond it.

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In this episode we're talking about the Data in AI. We have a special guest, together with whom we're discussing how to manage data with AI, how to make collaboration easier, and in general: how to deal with data for the good of the business

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This episode is about one of the most trendy topics of 2023: Generative AI. Tune in to learn what is generative AI? How you can benefit from it? And how you can start implementing AI solutions within your organization.
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In this episode we're hosting Simon Aronsson, Senior Engineering Manager for Canonical Observability Stack.

Machine learning operations (MLOps) is a new practice that ensures ML workflow automation in a scalable and efficient manner. But how do you make MLOps observable? How can you better understand how your product-grade AI initiative and its infrastructure are performing? 

This is where observability comes in. 

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What is Canonical AI roadshow?  Well, basically we are trying to meet the community that is working with us and people that are contributing to the projects that we are open sourcing and we decided to go to a couple of different places all around the globe to be able to meet all the partners that we have, to meet the people engaged with us on different projects and also to basically promote an open access to innovation with what we do.

Check rest here: https://ubuntu.com/ai/roadshow

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What's MLOps, you ask? It's the magical synergy between Machine Learning and DevOps, and it's changing the game for businesses worldwide. From model development and deployment to monitoring and maintenance, MLOps is the backbone of seamless, efficient, and scalable AI systems.

In this episode we talk about one of the most trending topics of 2023 - MLOps.
Tune in and learn: what is MLOps, how to get started with MLOps, what are the major use-cases and how you can start integrating MLOps in your organization?

The podcast is hosted by Andreea (MLOps Product Manager) and Maciej (Principal of AI/ML) from Canonical.

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This episode was recorded during Kubecon with one of our partners - Run:ai .

In this podcast, we discuss important questions for anyone working in the AI industry: How to get the most out of your infrastructure? Can you optimize your GPU usage across teams?  Along with tips and tricks to achieve sustainable AI in your company.

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Conversations about artificial intelligence, open source tooling, machine learning operations and the future of innovations. Ubuntu AI is a podcast that empowers you to drive change in your community.

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