Machine Learning

Rachel Robison In AI, Big Data, Machine Learning

Text Analytics | Mining New Insights From Text With AI

What Is Text Analytics? Text Analytics is the computer-driven process of analyzing large volumes of unstructured text data, utilizing Artificial Intelligence (AI) techniques to identify new and previously unknown insights, themes, or patterns in text. The Importance of Text Analytics The ability to use AI...

Rachel Robison In AI, Machine Learning

Why Your Industry Needs Explainable AI (XAI) And How You Can Benefit From It

As technology advances, and AI becomes more common within business enterprises, the number of companies and industries that utilize the powerful insights AI and machine learning can provide is increasing quickly. While AI is undoubtedly benefiting companies, there is still a risk in blindly trusting...

Sierra In Anomaly Detection, Machine Learning

Why Anomaly Detection is Important?

Anomaly detection is the process of finding patterns in data that don’t conform to a model of normal behavior. Unless you’re a data scientist or practitioner familiar with tools that offer algorithms for pattern recognition, the principles behind anomaly detection may seem obscure and unapproachable....

Sierra In Finance, Machine Learning

The case for continuous monitoring of financial transactions

What does continuous monitoring of financial transactions mean? In short, Continuous Monitoring (CM) of financial transactions is a reporting system that continuously monitors financial transactions and provides timely and relevant (actionable) information for an executive to review and make necessary decisions. This is in sharp...

Darshana Daga In AI, Machine Learning

Anomaly Detection – A Machine Learning Solution to Eliminate Risk

With the rapid growth of the internet and the IoT and the resultant digital transformation of the world we live in, there is an explosion of data that is being generated, collected and stored. There is data available for “normal” transactions, as well as for...

Darshana Daga In Data Sciences, Fraud Detection, Machine Learning

Supercharging your Financial Control & Fraud Detection Initiatives; the Role of Data Quality

Effective fraud detection and financial control initiatives leverage advanced analytics and machine learning techniques to derive valuable and actionable information for managers. The reliability of the results produced by these data intensive techniques is DIRECTLY dependent on the quality and quantity of data available for...

Darshana Daga In Fraud Detection, Machine Learning

Huge Payoff is Possible by Identifying Fraud Schemes

The volume and dollar value of fraudulent transactions has mushroomed in recent years due to the phenomenal growth of electronic transactions that span every industry segment, coupled with the relative anonymity that online commerce offers to crooks of all shades. In the era of extreme...

Darshana Daga In Finance, Machine Learning

Savvy CFOs are using Machine Learning to detect Fraud Schemes

With the burgeoning growth of electronic financial transactions and their relative anonymity, sophisticated fraud schemes have exploded in the last 5 years, as reported by the FBI and leading publications such as the Wall Street Journal, Forbes and the New York Times. As reported by...