How In-Memory Computing can Maximize the Performance of Modern Payments

The payment industry is in the midst of a revolution. The shift to cashless commerce and digital payments has transformed the way we pay, the services we use and our expectations as customers. To ensure a positive customer experience, service providers must be able to process payment transactions in real-time and ensure the highest levels of reliability. They also need to be able to scale capacity ahead of demand and employ sophisticated analytics including machine learning to help prevent fraud, ensure regulatory compliance and identify actionable insights from the data they are collecting.

In this session, Yoav will present a real-life case study and how one of the top 10 financial institutions in the world deployed a complete instant payment solution in just a few months which met the required regulations while enhancing customer experience with a new value added service– leveraging unified fast-data analytics, AI and transactional processing.

Schedule

Wed, 10/03/2018 - 13:45

Room

Room C

Tracks:

Tales from the Trenches

Speakers

Rajiv

Shah

Director of Solution Architecture and Professional Services

at

Gigaspaces

Rajiv Shah is the Director of Solution Architecture and Professional Services at GigaSpaces and a key member of the in-memory computing, big data, and machine learning/AI innovation teams. He’s responsible for determining and meeting customer requirements and participates in determining roadmap and vision. Rajiv is also active in the company’s strategic technology partnerships. He has held strategic roles in several other companies, including Chase, Wipro, and Scholastic.