DataStax

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Cybercrime, and more specifically payment fraud, are an ongoing issue for any organization managing digital transactions. A successful fraud prevention strategy requires a system to correlate many different data points and accept good transactions, or deny bad ones, in less than a second. And, if you run a growing business, you need that response time to stay constant even when you support millions of concurrent transactions.&nbsp;&nbsp;

That kind of performance and scale is tough to achieve on legacy relational databases. This is why so many IT teams have turned to NoSQL to support mission-critical systems.&nbsp;

For more than 40 years, businesses have turned to ACI to provide electronic and digital payments with fraud processing. ACI processes upwards of $14 trillion in payments and securities a day. To support this massive volume and retain millisecond response times, the team at ACI Worldwide built a solution using DataStax Enterprise, Apache Kafka, and Hadoop. At <a href="https://www.datastax.com/accelerate">DataStax Accelerate</a> 2019, Ken Chenis, chief architect at <a href="https://www.aciworldwide.com/">ACI Worldwide</a>&nbsp;explained how ACI is using DataStax, machine learning, and AI to detect fraud in real-time.

<div class="video-container"><iframe allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen="" class="video" frameborder="0" height="315" src="https://www.youtube.com/embed/6RgshGMu568" width="560"></iframe></div>

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If you’re interested in learning more about how leading organizations across all industries are using DataStax and Cassandra to accelerate business, join us at Accelerate: A NoSQL Original Series. See you there!

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