MLOps: Monitoring Operations

When using TIM in production, different Machine Learning jobs and dataset updates succeed each other and quickly accumulate into a – potentially extensive – history of operations.

Navigating through these operations allows users to easily intervene where desired. Additionally, keeping an overarching view of this history is essential to continue working in a structured way, across teams, use cases and datasets. This session shows how TIM Studio supports a user in this task with the Operation Insights feature.

 

 

 

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Time for Time Series dives into specific features and looks at general functionalities in TIM, as well as covering many topics related to time-series analysis. We welcome everyone, from managers to data scientists, to get to know TIM and to ask your questions to our experts during the live Q&A.