Data Governance for Trustworthy AI Data

Data & Technology
The topic focuses on the fact that AI success depends on high-quality, consistent and trustworthy data and on the rules that keep it in order across systems and countries.

Key questions and insights

Which data issues pose the greatest threat to AI results?

Without high-quality, consistent and trustworthy data, AI can produce incorrect results or hallucinations.

Why is a model alone not enough without data governance?

In practice, incomplete data, duplicates, incorrect codes and different data structures between systems and countries appear.

How does data consistency across systems and countries help?

Data governance is not one simple technology, but a set of steps and rules.

What is the practical value of data governance?

Data governance increases data quality, consistency and traceability, reduces errors and risks, and thereby improves the trustworthiness and usability of AI models.

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