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.
No one is safe from fraud and financial crimes. When fraud occurs, it compromises secure data, raises legal fees, affects the bottom line and erodes customer confidence. Fraud is universal, with constantly evolving schemes. Regardless of the industry, a new holistic approach is needed to detect
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
Cyber crime is no longer a mere nuisance but is quickly becoming a huge problem. Just recently a cyber criminal was charged with wire fraud and computer fraud as he tried to steal more than $1.5 million. Cyber criminals are becoming increasingly more brazen as they exploit vulnerabilities in new
RIMAC uses IBM Analytics and IBM Global Business Services to make more money out of the same insurance premiums, while remaining customer-centric and discovering hundreds of millions of dollars in fraud and leakage.
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Safety Insurance Company had the common problem of too many databases. There was no single version of the truth, and this led to inconsistent answers across the enterprise. With IBM solutions, the organization now has one repository for all its data and the power to use big data to fight fraud.
"The issue around identifying targeted analysis for anti-corruption is you just can't look at one data source," says Vince Walden, a partner at Ernst & Young with responsibility for fraud investigation and dispute services. "When you're looking for potentially improper payments that could be
With big data financial and transactional data no longer in silos, we can now look at them together. Vince Walden, Ernst and Young partner, says that big data technologies allow them to look at data from all angles.
Ernst & Young (EY) uses IBM BigInsights platform to leverage big data and analytics to combat fraud. By running test queries across multiple transactions they can identify fraudulent transactions and mitigate risk for its customers.
IBM Counter Fraud Management introduces advanced analytics and deep investigative analysis throughout the entire life-cycle of counter fraud operations. This enables organizations to aggressively handle fraudulent activity while pro-actively anticipating, preventing and continuously adapting to
Bob Griffin, VP of IBM Industry Solutions discusses the deep impact fraudulent activities have on organizations and consumer confidence. He introduces a new counter fraud solution from IBM designed to help prevent and intercept attempted fraud, and employs advanced intelligence allowing
Datameer, Inc. CEO Stefan Groschupf discusses how Datameer's big data analytics solution for self-service data integration, analytics and visualization tools delivers dramatic business impact. Datameer sits on top of any distribution of Hadoop, including IBM BigInsights to help its clients gain a
Every day, our world creates 2.5 quintillion bytes of data. How businesses discover the real value in large volumes of data is key to their success. In this video, four IBM customers demonstrate how Smarter Analytics has helped them deliver the right product, prevent fraud, make informed and timely