Our Solutions
Predictive Analytics
Fraud
Detection
USE CASE
The Challenges Faced :
Organizations are using predictive analytics to help solve challenging problems and uncover new opportunities. According to Gartner research, only 15% of Machine Learning or Artificial Intelligence projects succeed in achieving their stated goals. These complex and costly projects tend to fail because of their largely technology-centric focus, as well as the inability of the organization to acquire the rights skills to sustain and operate this technology.
Our Value to Your Business:
Selecting the right problem with the right output to solve, rather than selecting the perfect data model or technology to solve that problem, will help drive significantly more success in an organization. Our deep domain expertise, value creation methodology and technology integration model has helped target and achieve the right business outcomes in a sustainable way.
Fraud
Prevention
USE CASE
The Challenges Faced :
Fraudsters have become increasingly sophisticated in the methods they are using to avoid detection by network operators. One of these methods is the manipulation of the originating calling number in an international voice call. Traditional fraud systems are often designed to detect fraud through a very narrow lens of time or technique. This plays into the fraudsters hands who continue to cost Telcos over $40bn of fraud per annum.
Our Value to Your Business:
Using a distributed ledger technology and hive-mind intelligence sharing approach, we were able to develop predictive models that confirmed the illegal use and manipulation of telephone number ranges to avoid fraud detection. These models helped provide meaningful insights into the abuse of certain country, network operator and organizations use of telephony assets.