Apply new skills to your role

Instruction and application

In Progress

Applying key takeaways to your role

• How could integrating automated drift detection improve the reliability and accountability of the ML systems you work on?

• Where in your current workflows would adding performance or data monitoring offer early warning signs of model degradation or risk exposure?

Action item: Share how you will apply new skills to your role.

Directions: In this workshop, you practiced building a simple data drift monitoring system using statistical testing and automation techniques. Create a discussion topic and share how you will apply skills from this workshop in your role. Engage in a discussion by adding commentary to at least one post from a peer.Don't know where to start? Consider the following to guide your response.- Have you experienced situations where a model’s performance changed over time without clear visibility into why?

• What tools or processes — if any — are currently in place for tracking data quality, feature drift, or model accuracy in production?
• Who in your team would act on a monitoring alert, and how quickly could corrective action (such as a rollback or retraining) be triggered?