Uploaded September 2026 | Updated September 2026, 2 hours ago
(Yusuke Shibui, Prashanth Gurram) Every ML team knows the pain: the majority of practitioner time goes into data wrangling, pipeline plumbing, and environment configuration — not solving business problems. Getting a pandas prototype into production still takes months, and that’s before you factor in monitoring, drift, and retraining. Agentic ML offers a fundamentally different approach: AI agents that understand your data context, reason about which steps to take, and execute ML workflow stages autonomously — while keeping humans in the loop for strategic decisions. In this talk, we explore why Agentic ML is a paradigm shift beyond AutoML, what makes context-aware agents effective, and how these ideas connect to Python workflows in practice. We’ll walk through real patterns for feature engineering, distributed training, and model monitoring — with honest lessons about where agents shine and where they still fall short. You’ll leave with a practical framework for thinking about agent-assisted ML in your own stack.
https://2026.pycon.org.au/schedule/J7NSZH/
python, pycon, australia, programming, conference, technical, developers, panel, sessions, libraries, frameworks, community, sysadmins, students, education, data, science
Videos licensed as CC-BY-NC-SA 4.0
PyCon AU is the national conference for the Python programming community, bringing together professional, student and enthusiast developers, sysadmins and operations folk, students, educators, scientists, statisticians, and many others besides, all with a love for working with Python.
Licensed as CC BY-NC-SA - creativecommons.org/licenses/by-nc-sa/4.0
Produced by Next Day Video Australia: https://nextdayvideo.com.au
Thu Aug 27 12:05:00 2026 AEST (UTC+10) at Ballroom 3
(Yusuke Shibui, Prashanth Gurram) Every ML team knows the pain: the majority of practitioner time goes into data wrangling, pipeline plumbing, and environment configuration — not solving business problems. Getting a pandas prototype into production still takes months, and that’s before you factor in monitoring, drift, and retraining. Agentic ML offers a fundamentally different approach: AI agents that understand your data context, reason about which steps to take, and execute ML workflow stages autonomously — while keeping humans in the loop for strategic decisions. In this talk, we explore why Agentic ML is a paradigm shift beyond AutoML, what makes context-aware agents effective, and how these ideas connect to Python workflows in practice. We’ll walk through real patterns for feature engineering, distributed training, and model monitoring — with honest lessons about where agents shine and where they still fall short. You’ll leave with a practical framework for thinking about agent-assisted ML in your own stack.
https://2026.pycon.org.au/schedule/J7NSZH/
python, pycon, australia, programming, conference, technical, developers, panel, sessions, libraries, frameworks, community, sysadmins, students, education, data, science
Videos licensed as CC-BY-NC-SA 4.0
PyCon AU is the national conference for the Python programming community, bringing together professional, student and enthusiast developers, sysadmins and operations folk, students, educators, scientists, statisticians, and many others besides, all with a love for working with Python.
Licensed as CC BY-NC-SA - creativecommons.org/licenses/by-nc-sa/4.0
Produced by Next Day Video Australia: https://nextdayvideo.com.au
Thu Aug 27 12:05:00 2026 AEST (UTC+10) at Ballroom 3
