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.

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?