The proliferation of digital payment platforms has transformed commerce, offering unmatched convenience and accessibility globally. However, this growth has also attracted malicious actors, leading to a corresponding increase in sophisticated social engineering scams. These scams are often initiated and orchestrated on multiple surfaces outside the payment platform, making user and transaction-based signals insufficient for a complete understanding of the scam's methodology and underlying patterns, without which it is very difficult to prevent it in a timely manner. This paper presents CASE (Conversational Agent for Scam Elucidation), a novel Agentic AI framework that addresses this problem by collecting and managing user scam feedback in a safe and scalable manner. A conversational agent is uniquely designed to proactively interview potential victims to elicit intelligence in the form of a detailed conversation. The conversation transcripts are then consumed by another AI system that extracts information and converts it into structured data for downstream usage in automated and manual enforcement mechanisms. Using Google's Gemini family of LLMs, we implemented this framework on Google Pay (GPay) India. By augmenting our existing features with this new intelligence, we have observed a 21% uplift in the volume of scam enforcements. The architecture and its robust evaluation framework are highly generalizable, offering a blueprint for building similar AI-driven systems to collect and manage scam intelligence in other sensitive domains.

We took an unobvious approach to starting a payments company, building a platform from scratch. Speed is the foundation of our company. We are honest, direct, and try to have some fun too. To maintain our momentum, we need people to join us in finding new ways of solving our unique challenges - people like you. Adyen is looking for a Data Analyst to join our US Data team in San Francisco.

Shopping online has become more and more popular for consumers, especially during the pandemic. With online shopping, customers cannot only buy necessities but also enjoy shopping at home. And the quick shipping speed and free return policy also make the shopping experience more reasonable and enjoyable. To provide a better online shopping experience, AI plays an important role in improving online payments. In brief, the use of AI in online payments serves consumers who need to pay. The purpose of AI applications is to provide an easier, safer, and more enjoyable payment process, thus encouraging online shopping.

Last November, the Chinese government ordered Ant Group, a business spun out of Alibaba that operates the ubiquitous Alipay mobile payments platform and other financial services, to cancel its hotly anticipated IPO at the last moment. Shortly after ride-hailing giant DiDi went ahead with an IPO in New York this summer despite government concerns, officials removed the company's app from Chinese app stores and ordered it to comply with an extensive cybersecurity review. Soon after, ByteDance, operator of wildly popular news and entertainment apps, as well as the short-video sensation TikTok outside of China, shelved its own plans for an IPO to comply with tighter government rules around data protection and security. So it's a little odd that two titans of China's artificial intelligence industry, SenseTime and Megvii, are proceeding with plans for IPOs seemingly unbothered, with listings on the Hong Kong and Shanghai stock exchanges, respectively. After a decade of unchecked growth, many Chinese tech firms now face a stark new reality, with canceled IPOs, stricter regulations, and hefty fines.

All indicators confirm that investment in fintech, new technology that can improve and automate financial services, is skyrocketing and is expected to exceed $30 billion by 2020. This investment will translate into dramatic time and cost savings and enhancements to service offerings from financial institutions. Here are the top 5 fintech trends everyone should be watching in 2020 because they will impact anything that involves money. For many years, marketing experts espoused the benefits of personalization to attract customers and keep them loyal. Today, thanks to big data and artificial intelligence that helps us process, store, and drive insights from the data, hyper-personalization is possible on an unprecedented scale.

In a saturated eCommerce market, Chinese eCommerce giant Alibaba and its biggest competitor, Tencent Holdings Limited, have their eyes on diversification, and Alibaba is losing ground. Like their American counterpart Amazon, Alibaba and Tencent are fashioning themselves identities that have less and less to do with online shopping and more to do with an integrated life approach. Alipay, Alibaba's mobile payment platform, released a version in Hong Kong dollars this week. Previously, payments could only be made in yuan. Alibaba took an 18 percent stake in supermarket and convenience store operator Lianhua Supermarket Holdings, catapulting the company's stocks as much as 34 percent during Monday morning trading (May 29).

Financial institutions can introduce new real-time schemes and payment types continually, support existing and emerging transaction...

Alphabet Inc's Google is revamping the Google Play Store to help developers build their businesses as concerns mount that the app economy has reached saturation. The overhaul includes recommendations with artificial intelligence and support for various payment platforms, as well as embracing other platforms like virtual reality. Google's efforts in some way mirror those of arch-rival Apple, which revamped its App Store this year with quicker review times for new apps and an increase in the cut of revenue that goes to developers. Alphabet Inc's Google is revamping the Google Play Store to help developers build their businesses as concerns mount that the app economy has reached saturation. The Google Play store overhaul will focus on helping developers build their business.

With hosts and guests around the globe, Airbnb aspires to provide a frictionless payments experience where our guests can pay in their local currency via a familiar payment method, and our hosts can receive money via convenient means in their preferred currency. For example, in Brazil the currency is Brazilian Real, and people are familiar with Boleto as a payment method. These are quite different than what we use in the US, and imagine this problem spread across the 190 countries Airbnb serves. In order to achieve this, our Payments team has built a world-class payments platform that is secure and easy to use. The team's responsibilities include support of guest payments and host payouts, new payment experiences like gift cards, and assisting in financial reconciliation, to name a few.