Account 2 Account Payments A Global Revolution
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As technology and fraud techniques advance, businesses need to move beyond traditional fraud detection techniques and incorporate user behavioral features to boost accuracy. In this double presentation, Agoda and Booking.com will share how they leverage behavioral features to detect fraud in the travel industry. Agoda will explore the process of generating behavioral features, the technology behind incorporating them into machine learning models, and some of the techniques used to amplify the difference between fraudulent and non-fraudulent behavior. Booking.com will share their approach to detecting fraudulent hotel listings, which includes a multi-stage machine learning system that monitors the behavior of new hotels as they onboard onto the platform . The models monitor hotel actions from the early stages of signup up until the hotel is live on the website and interacting with guests.
As vertical software vendors and platforms continue to embed financial services into their platforms, these businesses are becoming increasingly responsible for supporting products and services outside of their core products and operations. Even with the help of partners that provide these services, businesses often have to adapt their organization through new roles and responsibilities, processes, and policies to enable use cases and areas of focus like payment facilitation, risk mitigation, compliance, card issuance, and lending. This presentation will draw from platforms that have embedded financial services as well as select technology providers that provide the technology.
This MRC Virtual 2022 presentation highlights risks mitigation strategies, the types of fraud merchants may encounter, and provides useful insights into current and future regulations in the crypto space.
This highly educational presentation from subject matter experts explores this process in detail, and is a must read for anyone interested in implementing crypto or the blockchain into their payments stack.
Ultimately, in the world of payments, success depends on human factors, like how consumers perceive and respond to risk, reward and effort.
Against this backdrop, Token surveyed over 1,000 people across Europe about the attitudes, preferences and behaviours shaping their financial and digital lives.
Token presents: "Who Will Pay by Bank" a data-driven look at the human element that will fuel the future of open banking payments.
A glimpse into this report:
- Learn which consumers are paying by bank today and where will we see demand tomorrow
- Discover the behaviours and opportunities that could support continued uptake of account-to-account (A2A) payments
- Understand how consumers in Europe perceive the benefits of A2A payments and other payment methods on a country-by-country basis
- Uncover how consumers understand open banking's evolving role in their lives
- Read commentary from the Open Banking Implementation Entity, Open Banking Expo, American Express, Ban
With the upcoming 3DS1 decommission planned in Oct’22, it’s important for merchants to plan their authentication strategy to not just process EMV 3DS transactions but optimize the entire payment experience.
To find out, join Gautam Pande – Director, Product Management, Identity Solutions at Mastercard to provide key considerations ahead of the 3DS1 Decommission & share updates of the Identity Check platform to enable seamless digital commerce
- Find out what to expect after the decommission date
- Be able to understand key changes in EMV 3DS 2.2
- Understand Mastercard’s Smart Authentication Platform
- Preview the Identity Check Express and the customer journey
False positives down, revenue up! Learn from an Experian fraud expert how machine learning strengthens fraud prevention, reduces false positives, and leads to new revenues.
Fraud prevention is one of the most exciting areas in commerce. However, it is also challenging to core business functions. This webinar will present how modern fraud prevention becomes more efficient through machine learning models and how this results in new revenue potential.
By participating in this webinar, the learner should be able to understand:
- State-of-the-art fraud prevention methods and current fraud figures
- How machine learning supports fraud prevention
- Why companies should rely on smart fraud prevention with machine learning models
Consumers are changing how they discover, try and buy products and services. This colossal shift has resulted in companies reimagining what they do, how they do it and who they partner with to create lasting and revenue-driving customer relationships. Every industry is going through these changes and investing in new shopping models: Direct to consumers, marketplaces, connected cars, value-add healthcare and new technology platforms including localized drone delivery and vending machine innovations. These changes have a pace and complexity that’s driving tremendous value up and down the value chain.
While companies are investing in digitization and innovation, many are asking about the ROI and monetization potential of these new shopping models. The answer isn’t simple, but brands of the future will separate themselves from brands of the past by solving for the unique needs of each service provider in their ecosystem – and particularly their payment needs.
In the current operating environment, with economic growth slowing and interest rates rising, it is more important than ever for businesses to develop alternative revenue streams. That’s not only about meeting your customers wherever they are, but making those engagements as seamless as possible. One way to do this is through frictionless payments options or by embedding helpful financial services directly in the user experience. The goal is to first connect with customers, and then make their journey as intuitive and convenient as it can be. In this issue, we look at how commerce is evolving. There has been a major shift, with new kinds of online marketplaces transforming almost every industry, as our feature starting on p.26 explores.
This whitepaper begins with a snapshot of PSD2 and summarizes the directive's main changes, focusing on SCA. After highlighting how SCA will affect financial services companies, the paper examines how biometrics can meet SCA requirements while avoiding unnecessary friction. The document concludes with an overview of Nuance's biometrics solutions.