The true cost of false positives isn’t just in the hours analysts and investigators spend reviewing unproductive work items. It is also in the resource drain that prevents a financial institution from recognizing complex or more egregious activities that could present greater risk.
See how artificial intelligence (AI), machine learning (ML) and robotic process automation (RPA) are helping firms overcome the challenges, improve results and make AML/CFT programs more efficient and effective.
More progressive businesses recognize and champion the value of learning by consistently striving to move their companies from a push to a pull model of learning. They recognize that people don’t just need to learn but want to learn. Read this paper to learn the seven elements of a pull learning culture and what you should consider as you transition your organization towards this learning model.