Exploring Automation for Negative News Analysis
Learn details about our Adverse Media Monitoring pre-built solution and the machine learning algorithms that power it.
About this course
Adverse Media Monitoring (aka negative news search) is essential for uncovering any customer’s involvement with money laundering, fraud, organized crime, terrorism, or other malfeasance. Financial institutions conduct such screening to ensure they do not unwittingly become involved in criminal activity.
This process involves searching for negative news reports about a person or entity, and is a crucial part of Know Your Customer (KYC) and Anti–Money Laundering (AML) programs for banks and other financial institutions.
What you'll learn
Who is this course for
This course is for anyone who wants to learn how our Adverse Media Monitoring use case operates in Intelligent Automation Cloud.
Flexible & 100% online
Start instantly and learn on your own schedule.
Schedule your time
The course is self-guided and takes about one hour to complete
This course consists of four modules:
Get acquainted with Adverse Media Monitoring
Understand the basics of Intelligent Automation Cloud’s pre-built solution
Installation and setup
Learn how to install the Adverse Media Monitoring use case correctly
How to operate the use case
Get a detailed, step-by-step guide on operating the use case from beginning to end
Go deeper into the machine learning model at the core of the process and its multiple applications
Why to learn
Negative news searches today are mostly performed manually. Major banks employ dozens of analysts to scan news feeds and review hundreds of articles and alerts. Analysts spend a great deal of time determining whether flagged articles reveal actual risk, while over 95% may be deemed irrelevant or not a risk.
Benefits of Adverse Media Monitoring automation include:
- Consistent decision-making
- Faster responses to customer requests
- Rapid scale-up of processing
- Better risk management due to more advanced awareness of negative news.