AI/ML, Edge Computing and 5G in Action: Anatomy of an Intelligent Agriculture Architecture!


Whether or not Henry Ford really said: “If I had asked people what they wanted, they would have said faster horses.”, the quote encapsulates the spirit of true innovation, and the idea of leap-frogging changes.

So if you are striving to improve and optimize business processes, you might find yourself dealing with new technologies like Drones, Edge Computing, 5G, AI, DevOps or GitOps.

This workshop is based on a precision agriculture scenario and demo featuring drones, 5G slices, Edge computing, Computer vision, and Operations Research. All of it orchestrated and developed on OpenShift and OpenShift Data Science.

In this zero-to-hero workshop, we will learn how to mix all those ingredients and will go in-depth in the different aspects of an innovative end-to-end architecture that can also be applied to other fields like Smart Cities, Industrial IoT, Telehealth and many more.

Key takeaways:

Learn how to deploy and configure OpenShift Data Science.

Explore different aspects of the architecture, like training a machine learning model to guide drones (no prior knowledge required), leveraging OptaPlanner to optimize tractor routes, or using VSCode to program your APIs. All from within OpenShift Data Science!

Learn how to deploy your models easily on OpenShift Data Science.

Use a GitOps approach to manage and monitor all the components of your solution.


Guillaume Moutier is a Sr. Principal Data Engineering Architect at Red Hat, focusing his work on data services, AI/ML workloads and data science platforms. Former Project Manager, Architect and CTO for large organizations, he is constantly looking for and promoting new and innovative solutions, always with a focus on usability and business alignment brought by 20 years of IT architecture and management experience. When he's not tinkering with IT, electronics or other high tech toys, Guillaume plays music (guitar, bass, drums, keyboards), is a video games enthusiast, and a reading addict.

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