Machine Learning

Ananta Mukerji In AI, Analytics, Anomaly Detection, Data Science, Machine Learning, Nemesis

Unleashing the Power of No-Code Technologies

Reflecting on the biggest telehealth fraud in DOJ history (2020) & how to confidently sidestep it in 2021 and beyond.

Rachel Robison In AI, Explainable AI, Machine Learning

The Future of AI in Insurance: Explainable AI

Explainable AI (XAI) allows insurance companies to understand, explain, and trust AI-based decisions. XAI ensures fairness for insurers customers and regulators.

Robert Zacks 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…

Darshana Daga In Fraud Detection, Machine Learning

Huge Payoff Is Possible By Identifying Fraud Schemes

We’re living in an era of extreme automation, high transaction volumes, and a highly connected world where it’s so virtually easy for fraudulent transactions to hit any business. To protect your business from fraud schemes and bad actors before they can cause significant damage, detecting…

Darshana Daga In Data Science, Efficiency improvement, Finance, 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. Today’s enterprises churn out humongous volumes of data but are still unable to use most of that data in its raw form. The…

Sierra In Anomaly Detection, Financial Services, Healthcare, Insurance, IT, Machine Learning

Why Anomaly Detection is Important

With data driving most business transactions, it is essential to analyze and interpret patterns in behavior correctly. NEMESIS, an anomaly detection tool powered by machine learning, can detect and predict against abnormal behaviors in data that signal threats of risk and fraud.

Sierra In Financial Services, Fraud Detection, Growth Opportunities, Machine Learning

The Case For Continuous Monitoring Of Financial Transactions

Continuous monitoring (CM) and continuous auditing (CA) systems provide real-time monitoring and reporting of business processes, activities, and transactions. This could largely benefit CEOs, COOs, and board members who are concerned with the risking risk, regulation, and costs in their organization.

Darshana Daga In AI, Anomaly Detection, Fraud Detection, Growth Opportunities, 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…

Rachel Robison In AI, Explainable AI, Finance, Machine Learning

Why the Banking Industry Needs Explainable AI

Learn how the “Explainable AI” solution is increasing customer trust, eliminating biased AI, and quickly transforming the banking industry for the better.