Why Video Analytics Is the Next Big Weapon to Fight Fraud

Why Video Analytics Is the Next Big Weapon to Fight Fraud

Payment card fraud detection involves banks and financial organizations leveraging analytics to delve into card transaction data and build counter-fraud models. Over the years, the discipline of fraud analytics has evolved to crafting machine learning algorithms which recognize highly complex fraud patterns in enormously large volumes of records.

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How Artificial Intelligence Uncovered Evidence of Fraud

How Artificial Intelligence Uncovered Evidence of Fraud

While many industries have adopted artificial intelligence (AI), mostly in the tech sector, it’s adoption rate in financial services has been relatively slow. Even though AI is far from a pipe dream, 76% of banking CXOs agree that adopting AI will be critical to differentiate in the market, the technology tends to conjure up images of sci-fi movies, with ambitious computers replacing humans. The reality of AI is much more collaborative and effective.

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3 Ways to Use Data and Technology Proactively

3 Ways to Use Data and Technology Proactively

One aspect of fraud examinations that is constantly changing is the use of technology for fraud prevention and detection, with an emphasis on detection. From rules-based systems, fraud analytics and artificial intelligence-based programs, examiners look to increase the effectiveness and efficiency of their work through the use of technology. However, it is critical to the management of fraud risk that examiners focus more of their efforts on the use of data and technology on the mitigation of fraud risk.

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Why Artificial Intelligence Is the Next-Generation Weapon to Fight Fraud

Why Artificial Intelligence Is the Next-Generation Weapon to Fight Fraud

As the world witnesses a surge in fraud incidents, leveraging artificial intelligence (AI) for fraud detection could be the key to saving millions of dollars in financial fraud losses. Organizations worldwide are increasing their investment in AI-based fraud detection solutions, indicating that the industry is bullish on the capabilities of AI in fraud.

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Using Social Media Network Analysis to Detect Bank Application Fraud

Using Social Media Network Analysis to Detect Bank Application Fraud

As of April 2018, the global population is 7.6 billion and 4.2 billion of us reportedly use the internet. There are 3.3 billion active social media users, which means that 70% of people using the internet also have one or more social media accounts. This number is expected to increase to 90% in the next three years. As a fraud analytics professional, this tells me the majority of people who have access to the internet may also be trackable on social media.

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