The platform team in 2025

14 sessions

PodcastRe-Platforming Your Tech StackMichelle Marie Conway & Andrew Baker, Lloyds Banking Group · 51:15 · Jan 2025 · 326 views · MLOps Podcast

Pushed backThe team's machine learning operations requirements differed from what a platform team focused mainly on model development would initially provide.22:00

PodcastEvolving Workflow OrchestrationAlex Milowski, Entrepreneur and Computer Scientist · 1:14:35 · Feb 2025 · 425 views · MLOps Podcast
PodcastKubernetes, AI Gateways, and the Future of MLOpsAlexa Griffith, Bloomberg · 50:12 · Mar 2025 · 890 views · MLOps Podcast

ClaimAlexa 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 tools · 55:39 · Mar 2025 · 659 views

Pushed backEric rejects the interpretation that the platform stack makes ZenML and Metaflow genuinely interchangeable without substantial work.29:49

PodcastEfficient GPU infrastructure at LinkedInAnimesh Singh, LinkedIn · 59:14 · Mar 2025 · 619 views · MLOps Podcast
PodcastI Am Once Again Asking "What is MLOps?"Oleksandr Stasyk, Synthesia · 1:06:22 · Apr 2025 · 310 views · MLOps Podcast

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 EnterpriseCaleb Baechtold, Snowflake & Hamza Tahir, ZenML & Simba Khadder, Featureform · 1:02:19 · May 2025 · 366 views · MLOps Mini Summit 2025

Pushed 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

PodcastGetting AI Apps Past the DemoVaibhav Gupta, BoundaryML · 50:30 · May 2025 · 253 views · MLOps Podcast
Hard Learned Lessons from Over a Decade in AIMike Del Balso, Tecton · 48:43 · Jun 2025 · 531 views

Pushed 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-engineersJukka Remes, Haaga-Helia University of Applied Sciences, 8wave AI · 55:31 · Jun 2025 · 273 views · MLOps Podcast

ClaimJukka Remes's team built an MLOps platform from loosely integrated open-source components to support client development, deployment, and operation of models.3:59

PodcastThe Creator of FastAPI's Next ChapterSebastián Ramírez, FastAPI Labs · 1:09:38 · Jun 2025 · 800 views · MLOps Podcast
PodcastInside Uber's AI Revolution: Everything About How They Use AI/MLKai Wang, Uber · 45:24 · Jul 2025 · 2,863 views · MLOps Podcast

ClaimMichelangelo 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 Agent · 26:57 · Aug 2025 · 427 views

ClaimMeryem 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 BattleAndy Pernsteiner, VAST Data · 1:33:46 · Nov 2025 · 491 views · MLOps Podcast

ClaimPlatform engineers should provide services rather than make users manage infrastructure layers such as Kubernetes clusters and networking components.31:58