
Data center operations are shifting from experience-driven practices toward data-driven and AI-optimized systems.
However, a fundamental challenge persists: the lack of digital credibility.
- Insufficient data quality: Incomplete monitoring data and unreliable hardware reduce trust.
- Limited digital expertise of integrators: Many providers focus on traditional design/operations, lacking strong datafication and automation capabilities.
- Absence of verification frameworks: No standardized process to validate or certify collected data and analytical outputs.
These gaps are amplified by the growing scale and complexity of data centers and the expansion of GPU adoption, making them urgent issues that must be addressed for the next phase of digital operations.