Practical AI

Deploying models (to tractors 🚜)

Mar 1, 2022

Alon Klein Orback, CTO of GreenEye, and Moses Guttmann, CEO of ClearML, share insights on revolutionizing agriculture with AI. They reveal their staggering achievement of deploying thousands of models on Kubernetes clusters for tractors! The duo discusses the challenges and innovations in applying machine learning in farming, emphasizing the importance of automation in MLOps. They explore the role of real-time data processing and adaptive models, highlighting how this technology optimizes agricultural operations and boosts efficiency in the field.

50:56

Creator website

Episode guests

Moses Guttmann

Alon Klein Orback

AI Chapters

Episode notes

Intro

3min

AI Innovations Transforming Agriculture

11min

The Importance of Automation in MLOps for Iterative Model Refinement

4min

MLOps in Agricultural Automation

9min

Deploying ML in Agriculture

7min

Collaborative MLOps: Enhancing Model Deployment with Kubernetes

16min

Exciting Updates in AI and Agricultural Applications

2min

Alon from Greeneye and Moses from ClearML blew us away when they said that they are training 1000’s of models a year that get deployed to Kubernetes clusters on tractors. Yes… we said tractors, as in farming! This is a super cool discussion about MLOps solutions at scale for interesting use cases in agriculture.

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Featuring:

Alon Klein Orback – X
Moses Guttmann –
Chris Benson – Website, GitHub, LinkedIn, X
Daniel Whitenack – Website, GitHub, X

Show Notes:

Something missing or broken? PRs welcome!

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