Serverless stream processing for Financial Services

Available On-demand

The value of data rapidly diminishes, and if financial organizations aren’t leveraging a modern event-based architecture they’ll miss the opportunity to make real-time, contextualized decisions that could benefit their business. Examples include use cases such as fraud detection, risk analysis, real-time trading, etc. In order to differentiate themselves and secure that competitive edge companies need to build experiences that exceed consumer and employee expectations. By moving to real-time data streaming, pulling it from any environment across cloud and on-prem, financial services organizations can get the data they need to build and deliver new features and capabilities to customers more quickly, and at scale.

Building a serverless, event-driven architecture with AWS Lambda and Confluent can accelerate your business through faster innovation, and lower your operating costs. Set your data in motion and connect your on-prem and multicloud data to Amazon Web Services (AWS) with Confluent’s cloud-native service that powers real-time analytics and applications.

Join us on 6/16 to learn how Confluent and AWS unlock new value by:

• How you can build serverless, event-driven architectures for financial services use cases by using AWS Lambda with Confluent

• Scaling event processing on AWS to build real-time apps and analytics faster, and at a lower TCO

• Connecting and migrating on-prem, multicloud, and edge data to AWS so you can use the right service for the right job, all while improving price performance

• Unifying security, management, and billing with Confluent’s deep integrations with AWS Marketplace and services