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

The MLOps Podcast - A podcast by Dean Pleban @ DagsHub

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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. Join our Discord community: https://discord.gg/tEYvqxwhah ---  Timestamps:  00:00 Podcast intro 01:00 Guest intro  01:49 What does BeyondMinds do?  06:24 Audience for an end-to-end ML platform  12:14 Communicating with non-technical stakeholders/users  15:03 The future of "AI-powered tools", and human-machine collaboration  20:04 On complex system orchestration, generating insights from monitoring, and catastrophic forgetting – Biggest challenges in production ML  25:23 Why is catastrophic forgetting a hard problem and how do you deal with it?  30:02 "Secret" tips on how to get started with automating the retraining process  33:30 Generating monitoring insights and observations in a user-friendly format  38:12 Making data labeling issues explainable (automatically)  45:07 Customizing complex systems per user – Orchestrating an ML platform  52:58 API design in ML platform components  55:45 Measuring success for researchers, ML engineers, and software developers – can ML work fit into the Agile workflow.  1:02:22 Is "time to production" a good metric? Gains in time to production in the real world  1:06:02 How do you divide the work between ML researchers and engineers?  1:08:39 Recommendations for the audience ---  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