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:
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:
Leading banks use business analytics to predict and prevent credit fraud, saving millions. Retailers use business analytics to predict the best location for stores and how to stock them. But these advanced business applications tell only part of the story. What's going on inside these market-leading companies that sets them apart?
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.
WHITE PAPER:
Over the past 20 years, financial institutions, governments, insurers and retailers have seen an explosion in the amount and types of fraud perpetrated against them.
WHITE PAPER:
This guide makes an effective business case for fraud-prevention technology and evaluates the true impact of fraud on various financial institutions.
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.
WHITE PAPER:
This white paper for the communications sector examines how inaccurate data can impact customer relationships and how implementing a multi-phase process can help feed cleaner customer data into enterprise solutions to maximize return on investment.
