Data sits at the heart of machine learning algorithms and makes your model only as good as the data governance policies at the organization. The talk will cover multiple data governance frameworks. Besides, we will talk in depth about one of the key areas of the data governance policy i.e. data quality. The session will cover the significance of the data quality, the definition of goodness, what are the key benefits and impact of maintaining high quality data and processes. Not merely a theoretical aspect, the talk focusses on the practical techniques and guidelines on maintaining the data quality.

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