EGUIDE:
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:
WHITE PAPER:
Oracle Fusion GRC Applications improve bottom-line performance by continuously monitoring transactions and applying advanced forensic analysis and embedded application controls across business processes. Learn how you can detect more incidents and respond faster, preventing problems before they escalate or even occur.
EBOOK:
SearchFinancialSecurity.com presents a comprehensive guide to Red Flag Rules compliance. Our experts cover all the angles with authoritative technical advice on: using a risk-based approach for compliance; specific examples of red flags; clarification of the guidance; and what industry organizations are doing to help victims.
WHITE PAPER:
IBM®ILOG®’s business rule management system (BRMS) is widely used by leading investment banks, asset management and mutual fund firms to meet their compliance requirements while adding intelligent decisioning capabilities to applications and processes throughout the trading cycle, and business channels and systems.
WEBCAST:
View this webcast to explore an intelligent investigation platform that proactively investigates, prevents, detects, and discovers fraud cases.
PRESENTATION TRANSCRIPT:
This document describes the risks of the new Underground Economy, phishing types, malware and how to combat phishing exploitation.
WHITE PAPER:
Databases store extraordinarily valuable and confidential data. An increasing number of compliance regulations compel organizations to audit access to this sensitive data and protect it from attack and abuse.
WHITE PAPER:
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.
