A new machine learning breakthrough outperforms traditional methods by reducing false positives and minimizing cases needing further inspection, crucial for sectors like Medicare and credit card fraud ...

In the medical field, alarm fatigue can be a serious issue that directly impacts patient care. When roughly three-quarters of clinical alarms are false, it’s easy to see how this constant overload can ...

David Schiffer is the CEO of RevBits and formerly of Safe Banking Systems (SBS). RevBits develops cybersecurity software for organizations. Let’s be honest—alert fatigue is real, and it’s relentless.

FIS is using AI and machine learning in new ways to speed up detection of emerging types of payment card fraud while reducing false positives. Banks rely on highly responsive fraud filters to alert ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between a false positive and a false negative is that a false positive ...

In an era of increasingly sophisticated financial crimes and evolving regulatory, compliance, and internal audit needs, financial institutions must continuously refine their risk assessment strategies ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between recall and precision is that precision accounts for false positives, ...