Machine learning (ML) enables businesses to perform tasks on a scale previously thought impossible. As a result, many organizations are finding ways to harness ML to not just drive efficiencies but to fuel new business opportunities. Here are 10 applications of ML that are being used to solve problems & deliver tangible business benefits:
In this e-guide learn more about how security leaders are turning to AI to take out the bad guys, how blockchain can help secure an IoT network, and whether network security strategies are keeping up with emerging cyber threats.
Following a number of attacks on the SWIFT banking system that led to the theft of millions of dollars, SWIFT promised new rules to improve security for bank transfers. In this e-guide, we examine these targeted malware attacks and explore SWIFT's response to them. Find out if their 5-part strategic program was enough to bolster security.
Read this white paper to learn how, by adapting a managed approach to archiving and presenting customer statements, financial services organizations can satisfy regulatory, good governance, and legal requirements.
View the following webcast to learn how you can enable more efficient and effective fraud management through intelligent investigation. Uncover the tools and strategies you need to know in order to gain the right fraudulent prowess to help keep you and your business safe.
This paper discusses the ways that identify and social network analysis can help you prevent fraud and enable compliance by focusing not only on transactions, but also on person and groups and how they are related. Learn the requirements for a proactive fraud detection systems, and how ongoing data analysis can alert you to the need for action.