3. Prerequisites for implementing these approaches
This section successively addresses the technical, organizational and human fundamentals that are prerequisites for implementing an artificial intelligence-based fraud solution.
3.1 Technical prerequisites: the question of data and system quality
The first technical prerequisite is to have both a data governance process and an adequate data quality system. For each piece of data used by AI, this means meeting the criteria listed in the table 4.
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Prerequisites for implementing these approaches
Scope and limits of AI in fraud prevention
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