Weekly talks and fireside chats about everything that has to do with the new space emerging around D
MLOps Coffee Sessions #94 with Mark Freeman, Traversing the Data Maturity Spectrum: A Startup Perspe
MLOps Coffee Sessions #93 with Krishnaram Kenthapadi, Model Monitoring in Practice: Top Trends co-ho
MLOps Coffee Sessions #92 with Pete Soderling, Building the World's First Data Engineering Conferenc
MLOps Coffee Sessions #91 with Joseph Haaga, The Shipyard: Lessons Learned While Building an ML Plat
MLOps Coffee Sessions #90 with Valerio Velardo, Bringing Audio ML Models into Production. // Abstra
MLOps Coffee Sessions #89 with Gabriel Straub, A Journey in Scaling AI. // Abstract Gabriel
MLOps Coffee Sessions #88 with Javier Andres Mansilla, ML Platform Tradeoffs and Wondering Why to Us
MLOps Coffee Sessions #87 with Kyle Morris, Don't Listen Unless You Are Going to Do ML in Production
MLOps Coffee Sessions #86 with Julien Bisconti, Building ML/Data Platform on Top of Kubernetes. &nbs
MLOps Coffee Sessions #85 with Emmanuel Ameisen, Continuous Deployment of Critical ML Applications.
MLOps Coffee Sessions #84 with Ernest Chan, Lessons from Studying FAANG ML Systems. // Abstract Lar
MLOps Coffee Sessions #83 with Vincent Warmerdam, Better Use cases for Text Embeddings. // Abstract
MLOps Reading Group meeting on February 11, 2022 Reading Group Session about Feature Stores
MLOps Community Meetup #93! Two weeks ago, we talked to Chad Sanderson, Trustworthy Data for Machine
MLOps Coffee Sessions #82 with Donna Schut and Christos Aniftos, Practitioners Guide to MLOps. // A
MLOps Coffee Sessions #81 with Davis Treybig and Leigh Marie Braswell, Machine Learning from the Vie
MLOps Coffee Sessions #80 with Ale Solano, The Journey from Data Scientist to MLOps Engineer. // Ab
MLOps Coffee Sessions #79 with Orr Shilon, Platform Thinking: A Lemonade Case Study. // Abstr
MLOps Coffee Sessions #78 with Erica Greene and Seoyoon Park, Calibration for ML at Etsy - apply() s
MLOps Coffee Sessions #77 with Scott Hirleman, Data Mesh - The Data Quality Control Mechanism for ML
