Google Cloud-Based AI Engine Scores Enterprise Data Quality in Real Time

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A new AI-powered solution called the Data Trust Score Engine has been designed to help enterprises measure and improve the reliability of their data using Google Cloud services including BigQuery, Data Catalog, and Vertex AI. The platform assigns each dataset a dynamic Trust Score between 0 and 100 by evaluating dimensions such as completeness, consistency, uniqueness, freshness, and AI-detected anomalies. Unlike traditional rule-based data quality frameworks, the engine combines metadata intelligence, large-scale analytics, and machine learning to detect complex and evolving data issues. It also functions as a governance platform, offering interactive dashboards, automated alerts, and REST APIs so that pipelines and AI systems can verify data trustworthiness before use. The solution aims to prevent poor business decisions, compliance risks, and unreliable AI outcomes caused by duplicate, missing, or corrupted data.

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