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Madhusudhana Rao. Podila

Madhusudhana Rao. Podila

@madhupodila Speaker

Data Mesh: War stories on MLOps and data governance

Submitted Nov 4, 2022

Speaker

Madhu Podila (Data Strategist)

Abstract

The operation, process workflow and automation for ML models are challenges for any organisation. The transparency and visibility of these models across ecosystems are important to provide explanations on informed decisions. In order to conform to regulations and meet stakeholder expectations, it is also important to use the right operating models and processes. In this talk, we will learn about our journey in building ML use cases and the typical challenges faced in ML productionisation. The different processes that can be automated for consistency will also be explored.

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Scribble Data builds feature stores for data science teams that are serious about putting models (ML, or even sub-ML) into production. The ability to systematically transform data is the single biggest determinant of how well these models do. Scribble Data streamlines the feature engineering proces… more

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