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  5. Prerequisites for implementing these approaches

Article | REF: SE1216 V1

Fraud Risk Management in Organizations by using Artificial Intelligence

Authors: Nicolas DUFOUR, Matthieu BARRIER

Publication date: December 10, 2024 | Lire en français

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    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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