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UID:pretalx-pyconde-pydata-2026-PMMEAG@pretalx.com
DTSTART;TZID=CET:20260415T113500
DTEND;TZID=CET:20260415T120500
DESCRIPTION:This talk is an exciting journey that revisits the past decade 
 of Production Machine Learning from 2015 until now\, and provides a pragma
 tic outlook of the next decade towards 2035. We’ll revisit some of the c
 ornerstone python projects that served as the foundation of the "messy inn
 ovation" boom (feature stores\, orchestration\, model serving\, monitoring
 )\, as well as how it transitioned towards the LLMOps era shifting the sta
 ck from training-centric to inference-centric. We will also provide a prag
 matic set of predictions for the next decade of MLOps\, including some of 
 the trends in ML monitoring\, agentic systems and beyond - this will provi
 de actionable guidance to all practitioners to ensure we stay ahead of the
  curve on the expected skills and domains required to thrive in the near f
 uture to come.
DTSTAMP:20260412T142007Z
LOCATION:Merck Plenary (Spectrum)  [1st Floor]
SUMMARY:Production ML across 2015-2035: A Journey to the Past and the Futur
 e - Alejandro Saucedo
URL:https://pretalx.com/pyconde-pydata-2026/talk/PMMEAG/
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