Advances in ACH Payments -- ACH as a Customer Payment Strategy

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.

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

Attendees will:

• 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