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TRAINING DEMO

Using AI agents to fix data quality issues

Discover how CluedIn’s AI agents can automatically identify and correct common data quality problems.
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Video at a glance:

Who should watch:
Data practitioners and Data teams

Duration:
8 minutes

Video summary:

In this training demo session, discover how CluedIn’s AI agents can automatically identify and correct common data quality problems, turning hours of manual cleanup into minutes of intelligent automation.

Follow our trainer as he walks through a real-world example using fictional retailer Northstar Retail to demonstrate how AI agents can detect and resolve invalid contact details, including broken email addresses and inconsistent phone formats.

What You’ll Learn
  • How to ingest and map customer data to the right business domain and vocabulary.
  • How to set up an AI agent job with precise targeting using vocabulary keys (like email and phone).
  • How to write natural-language instructions to guide the AI in cleaning and standardizing data.
  • How to test, review, and approve AI-generated suggestions before they update golden records.
  • How to track, audit, and revert any AI-driven changes to maintain full data control.
  • A preview of what’s next: using AI agents for data deduplication in the upcoming session.

This session is perfect for data professionals looking to streamline data quality management, reduce manual workloads, and understand how AI fits seamlessly into their data landscape.