DATA & ANALYTICS
“AI-enabled cloud data analytics is paving the way forward ”
CHRISTEN KIRCHNER SENIOR SOLUTIONS EXPERT , FRAUD & AML , SAS
and creating synthetic data , can give the model a wider scope to detect known patterns of fraud where there is insufficient real-life data ; save time in processing unstructured data , and as a result , give better results in reducing the rate of false positives and improving the detection rate . Moving forward against fraud
In the rush to implement AI , Christen stresses that the human component of the fraud prevention package shouldn ’ t be pushed aside .
“ Human oversight will always be an important part of the process , particularly when evaluating anomalies , and it is through multiple methods used together that identity fraud can be spotted and combatted ,” she explains .
But when looking to upskill AI , Ariel believes a more tailored approach to AI will yield better results in an age where threats are harder to detect .
Two other prongs he advocates for this approach are intelligence from customer data and fraud intelligence , the first of which is tailoring each AI model to the customer ’ s specific data .
“ The system ’ s ability to detect fraud will improve over time as it learns from more customer data , which plays an important role in training the initial ML
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