Machine learning is a key differentiator — and nothing new to SAS
One of the key differentiators among top-performing vendors this year was machine learning. The report states, “As siloed technology for scoring fraud risk becomes outdated and less effective, improved administration, machine learning methods, and custom reporting now dictate which providers lead the pack.”
Rules-based fraud management systems cannot identify patterns in data. Machine learning, on the other hand, adapts to changing behaviors in a population through automated model building. Nothing new to SAS, these machine learning capabilities were built into SAS® fraud and compliance solutions at their inception to accommodate changing behaviors in complex data.
“Growing volumes and varieties of data are pushing a resurgence of interest in machine learning,” said Randy Guard, Chief Marketing Officer for SAS. “Organizations want – on a very large scale – to quickly and accurately produce models that guide smart actions in real time, without human intervention. For fraud management, the latency of a data decision is pivotal. You can’t wait a week or two to discover a credit card has been compromised; you want to know the moment of the swipe. Machine learning enables SAS fraud solutions to offer that essential capability.”
Learn more about SAS fraud and security intelligence solutions.