Putting this into practice
Winners Consulting helps organizations turn this concept into workable policies, processes and audit readiness.
Need help with compliance implementation?
Request Free AssessmentAn unsupervised machine learning algorithm that partitions data into K distinct clusters based on feature similarity. In risk management, it is used to identify patterns and anomalies in large datasets, such as fraudulent transactions or high-risk customer segments, supporting data-driven risk assessment within frameworks like ISO 31000.
Curated by Winners Consulting Services Co., Ltd.
Winners Consulting helps organizations turn this concept into workable policies, processes and audit readiness.
Need help with compliance implementation?
Request Free Assessment