THE FUTURE IS HERE

Innovation Around Data and AI for Fraud Detection | DataStax

Financial service institutions have unique challenges when it comes to fraud and are facing ever-more-dangerous threats. Ken Chenis, Chief Architect at ACI Worldwide, will talk about how ACI is allowing banks to combat fraud affordably and effectively via a patent-pending method that makes data readily available to AI/machine learning on historic information yet also available in real time for live transaction processing. By using DSE to store feature data using this new approach, ACI has been able to deliver fraud detection improvements of 3% while simultaneously also providing a 3% reduction in false positives. The combination of these improvements has resulted in millions of dollars of cost savings for their customers.

Get notified when registrations open for DataStax Accelerate 2020: datastax.com/accelerate

About DataStax Accelerate:

DataStax delivers the world’s only active everywhere database for hybrid cloud. DataStax Accelerate is the best opportunity in the world to learn from a community that builds and uses DataStax, contributes
to Cassandra, and uses both to support the world’s largest web-scale applications across any cloud. To find out when registration opens for DataStax Accelerate 2020, please visit datastax.com/accelerate

About DataStax:

DataStax delivers the always-on, active-everywhere distributed hybrid cloud database built on Apache Cassandra™. The foundation for full data autonomy and personalized, real-time applications at scale, DataStax Enterprise makes it easy for enterprises to exploit hybrid and multi-cloud environments via a seamless data layer that eliminates the issues that typically come with deploying applications across multiple on-premises data centers and/or multiple public clouds.

We help many of the world’s leading brands across industries transform their businesses by eliminating data silos and powering modern, mission-critical applications.

For more information, visit www.DataStax.com and follow us on @DataStax.

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