Payment Processing and Fraud Detection: What You Need to Know


Payment processing networks and the ecosystems they drive are the foundation of the global economy. In this webinar, Hazelcast will present how in-memory technology enables the core drivers of both payment processing and the enablement of fraud detection applications, along with specific examples from global leaders in the banking, credit card, and e-commerce domains.

You’ll also get  details on how a major bank was able to run multiple fraud detection algorithms at sub-millisecond speeds, how a major credit card provider can process millions of transactions per second while exceeding stringent SLA requirements, as well as how a major e-commerce player was able to reduce transaction processing times from minutes to seconds.

This is cutting-edge technology, applied to processes that billions of people (including you) are using continuously. To find out more about what in-memory technology can deliver, please click on the watch now button.

Presented By:

Dan Ortega
Dan Ortega
Director of Product Marketing
Dan has had more than 20 years of experience helping customers understand the business value of technologies. His domain expertise spans enterprise software, IoT, ITSM/ITOM, data analytics, mobility, business intelligence, SaaS, content management, predictive analytics, and information lifecycle management. Throughout his career, Dan has worked with companies ranging in size from start-up to Fortune 500 and enjoys sharing insights on business value creation through his contributions to the Hazelcast blog. Dan was born in New York, grew up in Mexico City, and returned to get his B.A. in Economics from the University of Michigan.
John DesJardins
John DesJardins
Field CTO and VP Solution Architecture

John DesJardins is currently Field CTO and VP Solution Architecture for North America at Hazelcast, where he is championing the growth of our Developer and Customer Community. His expertise in large scale computing spans Data Grids, Microservices, Cloud, Big Data, Internet of Things, and Machine Learning. He is an active blogger and speaker. John brings over 20 years of experience in architecting and implementing global scale computing solutions, including working with top Global 2000 companies while at Hazelcast, Cloudera, Software AG and webMethods. He holds a BS in Economics from George Mason University, where he first built predictive models, long before that was considered cool.