insurance claims fraud

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By: Iovation     Published Date: Aug 02, 2019
Insurance fraud is back with a vengeance. With four out of ten mobile claims estimated to be fraudulent, using connected devices have made it easier than ever for fraudsters to commit insurance crimes. Gather insights from the live panel discussion hosted by MoneyLIVE & TransUnion. As fraud experts examine current trends & impacts of insurance fraud in today's digital age and learn how to overcome insurance fraud while protecting your customer relationships. What you will learn: Key trends behind fraud and the way in which they are impacting insurers. How to tackle fraud and identify red flags by using a holistic approach. Explore trigger points that can help warn insurers of when there is a high chance of fraudulent activity. Identify the genuine customers and their genuine claims from the fraudsters.
Tags : botnet, insurance claims fraud, fraud rings, account takeover
     Iovation
By: TIBCO Software     Published Date: Jul 22, 2019
What if you could use just one platform to detect all types of major financial crimes? One platform to handle the analytical tasks of fraud detection, including: Data processing and aggregation Data visualization Statistical/mathematical/machine learning modeling Batch/real-time scoring One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud. Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
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     TIBCO Software
By: TIBCO Software     Published Date: Nov 12, 2018
The insurance industry stands on the precipice of change, with waves of innovation and disruption driving new possibilities across all departments, including pricing, underwriting, claims, and fraud. This webinar recording of a live panel debate is ideal for insurance professionals wanting to understand how best to unlock the possibilities created by advanced analytical techniques such as Artificial Intelligence (AI), Machine Learning (ML), and others. This TIBCO and Marketforce webinar on “The Fourth Industrial Revolution in Insurance” includes speakers Ian Thompson, chief claims officer at Zurich; David Williams, chief underwriting officer at AXA; and Clare Lunn, GI fraud director at LV=. The panel discusses: Moving towards the algorithmic insurer: the opportunities created by AI and ML How insurers can become more agile in the face of new innovations and disruptive technologies How the industry can turn structured and unstructured data into insights
Tags : agile insurance, customer experience, digital initiatives, analytical techniques
     TIBCO Software
By: TIBCO Software     Published Date: Nov 18, 2019
What if you could use just one platform to detect all types of major financial crimes? One platform to handle the analytical tasks of fraud detection, including: • Data processing and aggregation • Data visualization • Statistical/mathematical/machine learning modeling • Batch/real-time scoring One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud. Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
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     TIBCO Software
By: TIBCO Software     Published Date: Nov 07, 2019
What if you could use just one platform to detect all types of major financial crimes? One platform to handle the analytical tasks of fraud detection, including: Data processing and aggregation Data visualization Statistical/mathematical/machine learning modeling Batch/real-time scoring One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud. Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
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     TIBCO Software
By: IBM     Published Date: Aug 07, 2012
Insurers lose millions each year through fraudulent claims. Learn how leading insurance companies are using data mining techniques to target claims with the greatest likelihood of adjustment, improving audit accuracy and saving time and resources. Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts; build models based on previously audited claims and use them to identify potentially fraudulent future claims; ensure adjusters focus on claims most likely to be fraudulent; and deploy results to the people who can use the information to eradicate fraud and recoup money.
Tags : data, mining, detect, insurance, fraud, insurers, fraudulent, claims
     IBM
By: SAS     Published Date: Aug 03, 2016
Insurance fraud has existed wherever insurance policies are written, taking different forms to suit the economic times. Today the magnitude of insurance fraud is not only startling but increasing. Recent studies by the US National Insurance Crime Bureau (NICB) reported a 24 percent rise in questionable claims for the period 2011 to 2013. The full scale of insurance fraud is not known. And if fraudulent behavior is not discovered at the time the claim is submitted, the insurer may never know it occurred. Consequently, an uninvestigated claim can’t be labeled as fraudulent to investigate.
Tags : technology, best practices, security, analytics, insurance fraud, business analytics
     SAS
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