{"id":186,"date":"2025-03-21T07:43:31","date_gmt":"2025-03-21T07:43:31","guid":{"rendered":"https:\/\/webi2sc.live-website.com\/?page_id=186"},"modified":"2025-11-05T15:23:36","modified_gmt":"2025-11-05T15:23:36","slug":"calidad-datos-ia-certificacion-iso-5259","status":"publish","type":"page","link":"https:\/\/i2sc.es\/en\/calidad-datos-ia-certificacion-iso-5259\/","title":{"rendered":"AI Data Quality - ISO 5259 Certification"},"content":{"rendered":"

ISO 5259<\/strong> establishes a framework for assessing and improving the quality of data<\/strong> throughout the different phases of its lifecycle, which is crucial for obtaining reliable results in data-driven approaches to AI systems such as Machine Learning (ML).<\/p>\n\n\n\n

High-quality data<\/strong> is essential in artificial intelligence (AI) systems as it directly affects their performance<\/strong>, accuracy<\/strong> and reliability<\/strong>.<\/p>\n\n\n\n

Why is ISO 5259 important?<\/h2>\n\n\n\n
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ISO 5259<\/strong> is a crucial standard for any organisation, as it addresses the fundamental need for high quality data<\/strong> in an era dominated by data-driven decision making and supported by AI systems.<\/p>\n\n\n\n

As data becomes the raw material for analytics and machine learning, ensuring its quality has a direct impact on the accuracy and reliability<\/strong> of the results delivered by analytical models and ML systems.<\/p>\n\n\n\n

This standard provides organisations with the necessary tools and methods to assess, manage and improve data quality<\/strong>, ensuring that the data used are fit for purpose.<\/p>\n\n\n\n

It also provides a common language and set of practices that facilitate effective data quality management, which is crucial for consistent and reliable analytical results.<\/p>\n<\/div>\n\n\n\n

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Key principles of ISO 5259:<\/strong><\/h3>\n\n\n\n