Artificial Intelligence (AI) and analytics requires high quality data to ensure reliable outputs and accurate decision making. The data quality rules needed for ensuring reliable data evolve as data moves from ingestion and storage, to compute and consumption. This webinar will cover best practices to ensure the right data quality rules at the right points in your data pipelines. The demonstration will show how AI can automate and simplify the creation of rules for monitoring and management of data health to ensure reliable AI and accurate analytics.

In the demonstration, you’ll see how AI can automate and simplify the creation of rules for monitoring and managing data health—ensuring reliable AI and accurate analytics.

During the webinar, you’ll learn how to build and manage data quality rules for:

• Data ingestion from source systems and files

• Data stored in data warehouses and lakes

• Data consumed in AI and analytics processes

Watch the webinar [here], and explore the questions below from our Powered by Community Q&A, which are addressed throughout the session.

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