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SUMMARY:Data Quality & AI: Automated Data Validation and Cleaning
DESCRIPTION:Data quality is essential for informed decision-making in areas such as Vocational Education and Training (VET)\, employment\, and the analysis of living conditions. We are pleased to present a new tool designed to support the automated validation and cleaning of data using artificial intelligence–based approaches. \n  \n🔧 What is the tool?\nThe tool is a data linter developed in R\, designed to: \n\n\nDetect inconsistencies and errors \n\n\nIdentify potential data quality issues \n\n\nSupport automated data validation and cleaning \n\n\n👉 Explore the presentation from our “Data Quality & AI” event\, where Corneliu Cofaru introduced an R-based tool to improve data quality through automated validation and cleaning. \nlinter_webinar
URL:https://aivetproject.eu/event/data-quality-ai-automated-data-validation-and-cleaning/
ATTACH;FMTTYPE=image/jpeg:https://aivetproject.eu/wp-content/uploads/2026/03/standard-quality-control-concept-m-1-scaled.jpg
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