What’s been your approach to managing data quality for AI in e-commerce?

Question

At Sky Solution, we've noticed that AI performance is only as good as the data it’s trained on, especially in e-commerce where customer data can get messy fast. How do you ensure data quality to keep AI recommendations accurate? Any strategies or tools that have worked well for you?

Janak Patel · Accepted Answer

Managing data quality for AI in e-commerce involves ensuring accurate, consistent, and up-to-date data through effective collection, cleansing, enrichment, feature engineering, and continuous monitoring.

Theresa Williams · Answer

in my team, we use a tool that applies a statistical overlay to detect anomalies in the data set

Rahul Parmar · Answer

I ensure data quality for AI in e-commerce through regular audits, automated validation, and strong data governance practices.

Do · Answer

@thess_williams Using statistical overlays to catch anomalies is a smart approach!

What’s been your approach to managing data quality for AI in e-commerce?

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