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Data Governance in Machine Learning Models (with Audience Q&A)

December 1, 2022

Prerequisite: None

Vidhi Chugh

Data Scientist

Formerly Blue Yonder

This session will include a moderated Q&A featuring questions from the live audience.

The rate at which data is generated today provides an opportunity to identify patterns and provide business insights using sophisticated machine learning algorithms. In this session, Vidhi Chugh will focus on a critical element of every machine learning project: data governance. She will outline the need for data governance and discuss the key challenges in its adoption. She will also focus on the key area of data quality and underscore its significance in building successful AI applications. You will learn how bad data quality can lead to silent failure in ML models. Chuguh will explain how to define data quality metrics, present the key benefits of maintaining high quality, and emphasize that data quality requires continuous monitoring.

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