Prioritizing Needs in ML Platform Design // Jean-Michel Daignan // MLOps Podcast #151 short clip

MLOps.community · Beginner ·📐 ML Fundamentals ·3y ago
Skills: ML Pipelines70%
MLOps Coffee Sessions #151 with Jean-Michel Daignan, ML in Production: A DS from Ubisoft Perspective, co-hosted by Abi Aryan. Jean-Michel's blog post discussed in this conversation focuses on the need to manage expectations when working with machine learning (ML) platforms. Jean-Michel, a data scientist explains that people often expect ML platforms to be able to do everything out of the box, which is not realistic or scalable. Instead, it is important to prioritize what is really needed and work with power users to design the platform accordingly. Jean-Michel also tackles their experience building an ML platform for video game lifecycle predictions and explains that while they could have gone for a fully managed service, they chose to start with a managed service and then switch to a custom approach later. Overall, the blog post highlights the importance of taking a thoughtful and realistic approach to working with ML platforms. // Abstract As a data scientist himself, Jean-Michel has a unique perspective on the needs of data scientists when it comes to platform development. They're also developing tools (like SDK) that streamline the model development process. The team is focused on tying machine learning products back to business use cases and the ROI they provide. Jean-Michel also discusses the use of generative AI and the importance of balancing delivering value and building things quickly. Jean-Michel's blog posts on the topic are recommended for further reading. // Bio The author of the blog "the-odd-dataguy.com" has been a data scientist for over 4.5 years at Ubisoft. Prior to joining the video game industry, Jean-Michel had a background in engineering from France and had previously worked in the energy sector. The blog focuses on topics related to data and machine learning, showcasing the author's expertise in the field. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links Blo
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