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:
INFOGRAPHIC:
Even though cryptocurrency is a newer trend, thieves are using old methods to steal. Here are some of the common cryptocurrency scams to watch out for.
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.
WEBCAST:
This webinar will go through the most critical challenges faced by mid-market companies, and illustrate how collecting and analyzing event data across the enterprise can address those challenges in the context of budget and staff constraints.
CASE STUDY:
Entraction has no reservations about the effectiveness and efficiencies that are possible using device fingerprinting paired with device reputation; this is real data pulled from the user's computer, coupled with fact-based evidence of fraud from that computer's past. Read this case study to learn about how Entraction is fighting fraud.
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:
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 paper discusses how Brent used IBM to supply the customer data integration and master data management (MDM) to consolidate back-end systems to reduce administration costs, improve customer service and minimise benefit fraud.
