430 Episodes

  1. Managing Machine Learning Projects // Simon Thompson // MLOps Coffee Sessions #128

    Published: 10/19/2022
  2. Reliable ML // Niall Murphy & Todd Underwood // Coffee Sessions #127

    Published: 10/7/2022
  3. ML Unicorn Start-up Investor Tells-IT-All // George Mathew // MLOps Coffee Sessions #126

    Published: 10/4/2022
  4. Databricks Model Serving V2 // Rafael Pierre // Coffee Sessions #125

    Published: 9/30/2022
  5. Monitoring Unstructured Data // Aparna Dhinakaran & Jason Lopatecki // Lightning Sessions #2

    Published: 9/27/2022
  6. Trustworthy Machine Learning // Kush Varshney // Coffee Sessions #124

    Published: 9/21/2022
  7. RECOMMENDER SYSTEM: Why They Update Models 100 Times a Day // Gleb Abroskin // MLOps Coffee Sessions #123

    Published: 9/16/2022
  8. Scaling Similarity Learning at Digits // Hannes Hapke // Coffee Sessions #122

    Published: 9/9/2022
  9. Bringing DevOps Agility to ML// Luis Ceze // Coffee Sessions #121

    Published: 9/6/2022
  10. Feathr: LinkedIn's High-performance Feature Store // David Stein // Coffee Sessions #120

    Published: 9/2/2022
  11. MLOps at DoorDash // Hien Luu and DoorDash Leads // Coffee Sessions #119

    Published: 8/30/2022
  12. ML Platforms, Where to Start? // Olalekan Elesin // Coffee Sessions #118

    Published: 8/26/2022
  13. Data Engineering for ML // Chad Sanderson // Coffee Sessions #117

    Published: 8/19/2022
  14. Scaling Machine Learning with Data Mesh // Shawn Kyzer // Coffee Sessions #116

    Published: 8/17/2022
  15. How Hera is an Enabler of MLOps Integrations // Flaviu Vadan // Coffee Sessions #115

    Published: 8/14/2022
  16. Product Enrichment and Recommender Systems // Marc Lindner and Amr Mashlah // Coffee Sessions #114

    Published: 8/10/2022
  17. Building Better Data Teams // Leanne Fitzpatrick // Coffee Sessions #113

    Published: 8/6/2022
  18. MLX: Opinionated ML Pipelines in MLflow // Xiangrui Meng // Coffee Sessions #112

    Published: 8/3/2022
  19. More than a Cache: Turning Redis into a Composable, ML Data Platform // Samuel Partee // Coffee Sessions #111

    Published: 7/30/2022
  20. Just Fetch the Data and then... // David Bayliss // Coffee Sessions #110

    Published: 7/29/2022

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Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)