Using IBM Counter Fraud Management (CFM), an insurer can improve the operational effectiveness of its fraud prevention program and drive impressive fraud savings. IBM Watson helps insurers detect, respond and stop fraud with the ability to tap unstructured data.
Check out the ebook, Improving Financial Performance with Predictive Analytics, from Ventana Research that explores the many ways businesses can apply predictive analytics and data science techniques to grow revenue, shrink costs and improve margins.
Using IBM Counter Fraud Management (CFM), an insurer can improve the operational effectiveness of its fraud prevention program and drive impressive fraud savings. IBM CFM leverages entity analytics, anomaly detection, predictive analytics and machine learning along with powerful forensic analysis
Countering fraud is an ongoing process in the world of finance, but it need not be an overwhelming one. When identifying fraudulent activity amid the millions of transactions that flood financial networks, IBM Safer Payments offers ways to help manage workloads while avoiding false positives.
Analytics enables banks to comply with regulations and reduce the risk of fraudulent practices in four major areas. These innovation-driving areas include identifying suspicious transactions, staying within the law to uncover predatory lending practices, defending against online threats and
Fraud detection and prevention are critical, but the banking industry needs to see beyond fraud. By effectively using cybersecurity assessment tools, banking regulators and institutions along with the financial services industry need to intelligently adapt and be ever-vigilant against the rise in
Graph database technology powered by open source initiatives is helping fraud detection units catch intruders in the act of breaching data security. Tune in for an enlightening discussion of how modern approaches to analytics are bringing descriptive and predictive analytics together to help stop
Spiraling costs, reliance on legacy tools and frightening cases of money laundering are driving the need for enhanced financial crime systems based on advanced analytics. Listen to counterfraud experts David Dixon, Clark Frogley and Maribeth Haynes as they cover these topics with a focus on
Learn about the extraordinary potential of predictive analytics for helping with prevention, wellness management, fraud detection and more in healthcare. Listen to this podcast featuring Findability Sciences Founder and CEO Anand Mahurkar and Shahid Shah, CEO at Netspective Communications and
Financial institutions need comprehensive analytics to build a strong bank fraud detection strategy. Advanced analytics software provides the tools necessary for banks to recognize and act on suspicious patterns, quickly notify customers of fraud incidents and position themselves for faster
Turn the tide of the battle against insurance fraud by adopting analytics practices that give you the edge against perpetrators. Using counterfraud management, you can evaluate the data at your fingertips to identify and analyze patterns that can help you combat fraud even before it arises.
Insurance fraud has a very real impact on the average person, considering the $950 price tag per family in the United States. But fighting fraud gets harder every year. What are your stumbling blocks? Get started on your counter fraud management journey with this infographic.
Banking fraud is costing billions of dollars, but fraud and financial crime no longer have to be an accepted as a cost of doing business. Prevent, detect and mitigate fraud and financial crime with an analytics solution specifically designed for the banking industry.
Insurance fraud is costing insurance companies billions of dollars annually, which is translating into higher premiums for policyholders. However, fraud no longer has to be just a cost of doing business. Take the fight to fraudsters with the comprehensive fraud analytics solution from IBM that