Ryan Owen holds an MBA from the University of South Carolina, and has rich experience in financial services, having worked with Liberty Mutual, Sun Life, and other financial firms. Ryan writes and edits AI industry trends and use-cases for Emerj's editorial and client content. American Express began as a freight forwarding company in the mid-19th century. Expanding over time to include financial products and travel services, American Express today reports some 114 million cards in force and $1.2 trillion in billed business worldwide. American Express trades on the NYSE with a market cap that exceeds $136 billion, as of November 2021.

Getting a credit card has never been easier. Yet the rise in issued cards exacerbates the ever-present challenges that face issuers, banks, and above all else, consumers. User loyalty is at an all-time low. Banks and issuers struggle to retain existing cardholders due to the plethora of rewards programs incentivizing customers to apply for new cards. At the same time, consumers are having a difficult time paying off their balances, driving card debt and delinquencies to record levels.

A generation ago, a consumer would visit Main Street to fulfill all of one's shopping needs and undoubtedly pay in cash. A lot has changed since then. The arrival of personal computers in homes and the launch of companies, such as Amazon, Alibaba Group and eBay, in the 1990s acquainted consumers to the new concept of shopping online. The popularization of smartphones within the last decade then introduced consumers to anytime, anywhere commerce. DUBAI, UNITED ARAB EMIRATES: A customer makes a transaction using Apple Pay in the UAE at The Dubai Mall.

Fraudulent credit card transactions are a pressing concern among retailers, card issuers, and consumers alike. With a reported 31.8 million U.S. consumers experiencing credit card fraud in 2014 alone, sweeping changes have been put in place to thwart its devastating effects. Technology enhancements like EMV chip-enabled cards, fraud alerts from card issuers and banks, and dozens of no-cost credit monitoring services all work together to fight the ongoing issue of credit card fraud throughout the country. Despite good intentions, some consumers desire more from card issuers in accurately detecting – and halting – fraudulent activity on credit or debit cards. The majority of consumers can share at least one awkward moment when a credit card purchase was declined in error.

When it comes to security in their financial transactions, American consumers want it all. In Total System Services, Inc.'s 2016 U.S. Consumer Payments Study, a whopping 74% of all respondents said they would choose the credit card with the best security features over the credit card with the best rewards. Payment networks like Mastercard Inc. have done their best to respond. In the past couple of years, Mastercard has experimented with a number of cutting-edge security initiatives. These innovations have included everything from an app that allows cardholders to take a selfie for payment authentication to a wearable band that uses the account holder's unique heartbeat as authentication. Late last month, Mastercard introduced its latest pioneering security platform, Decision Intelligence.

When it comes to security in their financial transactions, American consumers want it all. In Total System Services, Inc.'s 2016 U.S. Consumer Payments Study, a whopping 74% of all respondents said they would choose the credit card with the best security features over the credit card with the best rewards. Payment networks like Mastercard Inc. (NYSE:MA) have done their best to respond. In the past couple of years, Mastercard has experimented with a number of cutting-edge security initiatives. These innovations have included everything from an app that allows cardholders to take a selfie for payment authentication to a wearable band that uses the account holder's unique heartbeat as authentication.

Adaptive behavioural analytics software reduces'genuine transactions declined' by over 70% and incidence of undetected fraud by 25% Oakhall, the London based analysis firm, estimates that global financial services firms could save at least 12 billion annually by employing adaptive, machine learning fraud management systems according to a study published in conjunction with Featurespace. For the full study see http://www.featurespace.co.uk/cost-of-card-fraud. By employing adaptive behavioural analytics software to both identify actual fraudulent transactions, and reduce the number of'genuine transactions declined' - as well as reducing the costs associated with managing blocked customers - the industry could reduce the 31 billion total annual cost of card fraud by over 12 billion annually. Featurespace is a world leader in adaptive behavioural analytics software. Its services and products are employed in over 180 countries via a wide range of customers, including the leading US payments processor, TSYS, as well as Vocalink/Zapp, William Hill and Betfair.