🧠 Algorithmic challenges in bringing ML models into production with Roey Mechrez, CTO at BeyondMinds from The MLOps Podcast

🧠 Algorithmic challenges in bringing ML models into production with Roey Mechrez, CTO at BeyondMinds

1 hour 13 minutes Posted Sep 20, 2021 at 3:22 pm.

Podcast intro

Guest intro 

What does BeyondMinds do? 

Audience for an end-to-end ML platform 

Communicating with non-technical stakeholders/users 

The future of "AI-powered tools", and human-machine collaboration 

On complex system orchestration, generating insights from monitoring, and catastrophic forgetting – Biggest challenges in production ML 

Why is catastrophic forgetting a hard problem and how do you deal with it? 

"Secret" tips on how to get started with automating the retraining process 

Generating monitoring insights and observations in a user-friendly format 

Making data labeling issues explainable (automatically) 

Customizing complex systems per user – Orchestrating an ML platform 

API design in ML platform components 

Measuring success for researchers, ML engineers, and software developers – can ML work fit into the Agile workflow. 

Is "time to production" a good metric? Gains in time to production in the real world 

How do you divide the work between ML researchers and engineers? 

Recommendations for the audience

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Show notes

In this episode, I'm speaking with Roey Mechrez from BeyondMinds. Roey holds a Ph.D. in Electrical Engineering, with vast experience in computer vision and deep learning research. We discuss the challenges of gluing together infrastructure solutions for an end-to-end ML platform, as well as generating monitoring insights for non-technical stakeholders and combating catastrophic forgetting.

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Relevant Links:

A16z blog about AI

Data Science work in an agile environment – A talk by Dima Goldenberg

Hayot Kis (Hebrew Podcast) חיות כיס

Data Engineering Podcast

ACX Podcast

Social Links:

https://www.linkedin.com/company/beyondminds/

https://www.linkedin.com/company/dagshub/

https://twitter.com/roeyme

https://twitter.com/DeanPlbn

https://twitter.com/TheRealDAGsHub

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