Welcome to Ubuntu AI podcast! From fun experiments to enterprise projects, AI became the center of attention when it comes to innovation, digital transformation and optimisatation.
Open source technologies democratised access to state of the art machine learning tools and opened doors for everyone ready to embark on their AI journey.
Ubuntu AI will be your guide in the industry where community of like-minded people meet, to make an impact.
In this episode we’re talking about the upcoming AI roadshow launched by Canonical
We are going on the Roadshow with things that we already built for different customers and also with our partners who are big players in that space. In the Amsterdam session, we’ll be together with Nvidia, making a workshop and showing how MLOps should be done on the enterprise level and production grade. So there will be a lot of exciting showcases during that workshop where people can get a first-hand experience and actual technical stuff as well.
We want to make AI accessible
There are a lot of new companies being funded, a lot of people getting excited about generative AI and we want to enable more and more innovators. People who are not coming from like 10 years of tech background, but actually have a cool idea and earlier were coming from medical or legal or any other field to show them how easy it is to innovate and how accessible open-source tooling is in this space.
We were in Berlin on one of AI summits organized by NVIDIA. There were a lot of people from Berlin and from the surrounding areas who were showing off the projects that they have built utilizing generative AI. At least half of the founders were not from the technical background and they didn’t have a brilliant CTO with 10 years of Google experience or something.
Welcome to Ubuntu AI podcast, where we talk about AI with the industry leaders. This episode was recorded in Riga, during the Ubuntu Summit 2023. We’re...
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Welcome to the 7th episode of Ubuntu AI podcast. Together with industry experts we’re discussing the topic of the year: AI. From fun experiments to enterprise...