Serverless stream processing for Financial Services

Serverless stream processing for Financial Services

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.

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