PodcastRe-Platforming Your Tech StackPushed backThe team's machine learning operations requirements differed from what a platform team focused mainly on model development would initially provide.22:00
14 sessions
PodcastRe-Platforming Your Tech StackPushed backThe team's machine learning operations requirements differed from what a platform team focused mainly on model development would initially provide.22:00
PodcastKubernetes, AI Gateways, and the Future of MLOpsClaimAlexa Griffith said platform teams are working to abstract Kubernetes concepts away from users who do not need to understand pods, containers, or virtual services.10:58
Comparing ZenML, Metaflow, and all the other DAG toolsPushed backEric rejects the interpretation that the platform stack makes ZenML and Metaflow genuinely interchangeable without substantial work.29:49
PodcastI Am Once Again Asking "What is MLOps?"ClaimOleksandr Stasyk says platform and engineering organizations need empathy between specialties, including understanding researchers' need for experimentation and data engineers' downstream responsibilities.23:07
Iceberg, MCP, and MLOps: Bridging the Gaps for EnterprisePushed backSimba Khadder and Caleb Baechtold explain Iceberg's stronger adoption than Delta by pointing to openness and weaker vendor lock-in, while noting Delta's Python support advantages.57:40
Hard Learned Lessons from Over a Decade in AIPushed backMike Del Balso disputes the assumption that platform teams can reliably summarize their value by adding up dollar estimates from internal users.32:26
PodcastPackaging MLOps Tech Neatly for Engineers and Non-engineersClaimJukka Remes's team built an MLOps platform from loosely integrated open-source components to support client development, deployment, and operation of models.3:59
PodcastInside Uber's AI Revolution: Everything About How They Use AI/MLClaimMichelangelo provides Uber developers with a centralized, end-to-end platform for managing machine-learning lifecycles without needing to handle the underlying infrastructure.2:44
How to Self-Host an AI AgentClaimMeryem says high-agency systems can access sensitive internal tools and databases, making them more exposed to sensitive information than simple chatbots.5:18
PodcastThe GPU Uptime BattleClaimPlatform engineers should provide services rather than make users manage infrastructure layers such as Kubernetes clusters and networking components.31:58