AI and ML adoption in the enterprise is exploding from Silicon Valley to Wall Street. Ubuntu is becoming the premier platform for these ambitions — from developer workstations, to racks, to clouds and to the edge with smart connected IoT. But with new developer trends comes a plethora of new technologies and terminologies to understand.
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In this webinar, join Canonical’s Kubernetes Product Manager Carmine Rimi for:
∙ A decoding of key concepts in AI/ML
∙ A look into why AI applications and their development are reshaping company’s IT
∙ A deep dive into how enterprises are applying devops practices to their ML infrastructure and workflows
∙ An introduction to Canonical AI / ML portfolio from Ubuntu to the Canonical Distribution of Kubernetes and and how to get started quickly with your project
And in addition, we’ll be answering some of these questions:
∙ What do Kubeflow, Tensorflow, Jupyter, Edge AI, and GPGPUs do?
∙ What’s the difference between AI and ML?
∙ What is an AI model? How do you train it? How do you develop / improve it? How do you execute it?
And finally, we’ll be taking the time to answer your questions in a Q&A session