Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from the ...
Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. By defining a set of normal user and ...
Identifying anomalies in the operations of computer systems that control critical safety and security functions calls for extensive expertise, and the actions required need to be tested, analysed and ...
Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...
Bloomberg processes over 200 million pieces of financial information every day. That’s a lot of data, and to make it useful, AI and machine learning (ML) are playing an increasingly central role in ...
- Anomaly detection, also referred to as outlier detection, in data mining, refers to the identification of observations, events or items that are rare and which create suspicions by way of being ...
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Predictive monitoring is transforming enterprise operations by combining the latest technologies with strategic implementation. By preventing issues before they escalate through early detection, ...
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