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:
EGUIDE:
For businesses, the ability to deal with big data is important: it can bring companies significant business value, from enabling cost optimization and improved efficiency to providing better customer insight. In this article, we'll explore 8 use cases that show big data's profound impact on businesses across different industry sectors.
EGUIDE:
In this e-guide we will explore the current cyber fraud landscape and look at some organisations in the region that are using technology to overcome the challenges posed by fraudsters.
EGUIDE:
Blockchain technology is increasingly showing its value to business. In this 15-page buyer's guide, Computer Weekly looks at the challenges the technology still needs to overcome, how it's shaping the use of data and what it can do for information security professionals.
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:
A security intelligence platform is a key element for fighting the many threats the financial institution faces, and this white papers describes on such platform.
WHITE PAPER:
This white paper explores these features, and the challenges that organizations face related to making sense of information in order to revolutionize their ability to mitigate threat and fraud.
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.
