Welcome to the workshop!
Workshop
In ProgressWelcome to Scaling and governing ML systems across the life cycle
Today's icebreaker:
Zombie model
Imagine an old ML model at your company refuses to retire. It just keeps running forever like a zombie!
What funny or disastrous things might happen if your company leaves this ‘zombie model’ in production too long?
Type your ideas in the chat.
Today's agenda:
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Review:
Recap key concepts.
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Practical exercise:
AutoDeliver life cycle challenge.
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Closing:
Wrap-up and reflection.
Today's learning objectives:
- Evaluate scalability requirements for ML systems by analysing data variety, data quality and resource needs under varying loads.
- Design life cycle governance plans that integrate change management workflows and logging practices for production ML systems.
- Develop decommissioning and archiving protocols that ensure compliance, traceability and business continuity when retiring ML models.
Workshop slides
Preview or download a copy of the Workshop 2 slides:
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In progress