The true value of AI is determined by data - A data integration strategy to achieve AI readiness.
The results of AI utilization are determined not by the performance of AI models or tools, but by the quality and freshness of the "data."
When systems and data are fragmented by department, variations in format, data loss, and delays in updates are likely to occur, leading to a decrease in the accuracy of AI outputs. Additionally, relying on individual development for data integration accumulates maintenance debt, resulting in reduced scalability and increased maintenance burden.
To achieve better results, it is essential to establish a "collaboration infrastructure" and "continuous operation" to prepare the data for AI in an AI-Ready manner.
In this seminar, we will explain practical data strategies to eliminate data silos and enhance data quality using data integration tools, along with case studies.

| Date and time | Thursday, Jul 16, 2026 11:00 AM ~ 11:30 AM |
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| Entry fee | Free |
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