Learn more in Kai's recorded webinar: videos.confluent.io/watch/DU2... | How can data streaming technology help detect fraud in real time at any scale? In this video, Kai Waehner, Global Field CTO at Confluent, will show how a fraud detection solution based on data streaming and Apache Kafka can help banks reduce risk and actually save money.
Based on the real-life example of Capital One, you’ll see how risk can be reduced when fraud is detected while it is happening. Kai illustrates how data is transferred in real time to the backend where an integrated risk system is making context-sensitive decisions. Further examples in this video include cost-reducing automated scenarios as well as opportunities to increase customer satisfaction and customer experience.
Case Studies on Data Streaming in the Banking and FinServ Industry:
10X Banking: www.confluent.io/customers/10...
Royal Bank of Canada: www.confluent.io/customers/rbc/
Capital One: www.confluent.io/online-talks...
Raiffeisen Bank International: videos.confluent.io/watch/ApS...
Learn more about Confluent in the Financial Services industry:
Data Streaming for Financial Services: www.confluent.io/industry-sol...
Fraud Detection and Prevention:
www.confluent.io/use-case/fra...
E-Book: Putting Fraud in Context: www.confluent.io/resources/eb...
Whitepaper: 10 Ways Confluent drives transformation in Financial Firms: www.confluent.io/resources/wh...
Tags: #kafka #confluent #datastreaming #finserv #banking #frauddetection
ABOUT CONFLUENT
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion - designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io.
#confluent #apachekafka #kafka