Watch this webinar on how management of real-time data can be used to combat fraudsters’ sophisticated attack vectors in a time-effective manner. How can organisations react quicker with stream ...

As the executive director of a payment service provider, I've seen payment processing come a long way—but significant pain points remain. Traditional systems often struggle with slow transaction ...

Kinil Doshi is a Senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. In this article, I want to explore AI applications in fraud ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

In the fast-moving digital landscape, where gig workers expect instant payouts and companies handle millions of microtransactions daily, the need for robust real-time fraud detection has never been ...

Data stream classification and concept drift detection are essential components in the realm of real-time data analytics. As data streams continuously flow from sources such as sensors, financial ...

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Feedzai, the provider of financial crime and risk management solutions, has partnered with CoreCard, the international provider of prepaid and credit technology solutions and processing services to ...

On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data New private networking and security features ...

We live in a world in motion. Stream processing allows us to record events in the real world so that we can take action or make predictions that will drive better business outcomes. The real world is ...

Watch this webinar on how management of real-time data can be used to combat fraudsters’ sophisticated attack vectors in a time-effective manner. * = required ...