Enlitic sales director Europe Roy Kinnear will be meeting with delegates at ECR to discuss how AI-enabled data migration can enhance data quality and accuracy through several key mechanisms. Automated data cleansing removes duplicates and corrects errors without human intervention, while intelligent data mapping identifies relationships and structures, reducing mapping errors, Enlitic says.
In addition, AI can provide real-time problem solving and continuous monitoring, detecting issues as they occur. Enhanced data profiling and anomaly detection identify inconsistencies before migration, ensuring accuracy and completeness across datasets.
AI simplifies complex mapping and transformation tasks, automatically mapping data fields and minimising errors, the company says. “Advanced validation techniques ensure value-level parity between systems, while automated testing covers various data integrity scenarios. Predictive analytics identify potential issues before they occur, mitigating risks and ensuring smoother migrations. AI systems continuously learn and adapt, improving algorithms based on real-world data and outcomes.”
Contact Roy Kinnear to book a meeting at ECR 2025.
This news story has been sponsored by the companies concerned and does not represent the views or opinions of RAD Magazine. Visit our dedicated ECR conference page to find out more.
