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Reimagine Financial Services
with Data Streaming for...
|Learn why global financial services organizations of all sizes—from traditional banks to digital-native startups—have adopted Confluent to transform how they operate their businesses.
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How Thrivent Uses Real-Time Data for AI-Driven Fraud Detection
Learn how Confluent's real-time data streaming platform helped Thrivent save up to $1M in engineering costs and boost AI and machine learning-driven insights for fraud detection and more. Read our latest case study to learn more.
What's New
Discover how to leverage Confluent for Real-time Insurance Claims Processing
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Hear how banking innovators are investing in AI for the financial services industry
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Learn how Confluent enables the transformation of T+1 in the capital markets
Read BlogWhy Data Streaming?
Webinars
Capital One's Tips for Achieving Data Streaming Success
What does success look like for the enterprise data technology team at one of the largest U.S. banks? Nisha Paliwal, Managing Vice President of Enterprise Data Technology, shares insights into her world of data streaming innovation for over 100 million customers at Capital One.
How Data Streaming Elevates the Omnichannel Customer Experience
A conversation with Thrivent and Improving
Why would a membership-owned fraternal financial services organization need to invest in their data architecture? The answer lies at the heart of their corporate mission—putting their customer first.
Why Your Fraud Detection and Security Tools Need Data Streaming
A conversation with Scotiabank and Forrester
We take a deeper look into the role timely data and real-time context plays in risk analytics and fraud mitigation. Learn how Scotiabank uses data streaming to apply this need for speed in their AI/ML and fraud detection processes.
Unlimited Use Cases
Whether you need to bring real time to your payments, risk management, or fraud prevention applications; want to extract mainframe data to power new services; or are looking to drive innovative experiences to keep your customers coming back for more, build a next-gen data streaming architecture that works with what you have today and future proofs it for where you want to go next. The use cases are limitless.
“Confluent has become a lynchpin to harness Apache Kafka for improved operational transparency and timely data-driven decisions. We are delighted with the improvements we have seen in the monitoring of our business flows, speeding up lending approvals, and providing better and more timely fraud analytics."
“We love open source, but at the same time we’re not a startup. We’re a large financial institution that works with world-class organizations, and we need services that make it easier for us to sleep at night. Confluent is very reliable; it’s never down. It has become our backbone.”
“We have been very satisfied with Confluent Platform as the backbone of our persistence engine. The platform has been super reliable. We have stringent requirements for real-time performance and reliability, and we have confirmed – from proof-of-concept to deployment of a cutting-edge production trading platform – that we made the right decision.”
"EVO Banco has been able to reduce its weekly fraud losses by a staggering 99% thanks to the help of Confluent. This is an incredible feat that speaks to the power of data streaming technology.... Imagine the impact this has on customer trust and the bank's reputation."
"By completely decoupling our architecture, enriching data in-flight and standardizing our data into a common taxonomy, Confluent has enabled our teams to think of data as a product that is governed, reused and shared.
Confluent is the single mediation point for our modern data flow strategy, enabling us to maximize the usability of data and greatly improving developer agility and time to market."
"Everything we do is in real time because batch processing is an old way of thinking. The longer your data waits, the less value it has. So, as data comes through, you need to be able to act on it, or enrich it quickly. Confluent enables this for us.”
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