Have you ever received a notification from your bank about a
questionable purchase, or had an online purchase blocked because of
suspected fraud? As digital commerce continues to grow, financial fraud
detection systems are evolving to provide more value in real-time, and
there is a lot going on behind the scenes.
In our next webinar for Apr-22, Gerard Maas demonstrates how to create a Kubernetes based, real-time fraud detection application for financial systems using Cloudflow. So if you’re curious about what it takes to deploy, provision, and preserve end-to-end application and data consistency for production systems, then this webinar may interest you. Here are the details:
Title: Detecting Real-Time Financial Fraud with Cloudflow on Kubernetes
Date/Time: April 22, 2020 at 9:00am PT / 16:00 GMT / 18:00 CET
Presenter: Gerard Maas, O’Reilly Author and Principal Engineer at Lightbend
Technical level: Introductory
REGISTER HERE
In our next webinar for Apr-22, Gerard Maas demonstrates how to create a Kubernetes based, real-time fraud detection application for financial systems using Cloudflow. So if you’re curious about what it takes to deploy, provision, and preserve end-to-end application and data consistency for production systems, then this webinar may interest you. Here are the details:
Title: Detecting Real-Time Financial Fraud with Cloudflow on Kubernetes
Date/Time: April 22, 2020 at 9:00am PT / 16:00 GMT / 18:00 CET
Presenter: Gerard Maas, O’Reilly Author and Principal Engineer at Lightbend
Technical level: Introductory
REGISTER HERE
Real-time fraud detection on Kubernetes shows how flexible cloud platforms have become. It highlights the need for stronger data pipelines, and in the centre of this discussion, it reminds me how OTHM Assignment Writing Services often explores similar analytical approaches in academic projects.
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