In this era of continuous data generation, businesses are seeking innovative ways to process and analyze their data in real-time to gain valuable insights. Amazon Bedrock, a fully managed service, offers a choice of high-performing foundation models from leading AI companies, enabling the development of generative AI applications with security, privacy, and responsible AI. This article explores how to integrate generative AI capabilities with stream processing frameworks like Apache Flink to derive real-time insights from streaming data. We focus on a use case of deriving review sentiment in real-time from customer reviews in online shops using a reference architecture and a step-by-step guide on infrastructure setup and sample code.
Streaming AI Powerhouse – Unleashing Real-Time Insights with Amazon Bedrock and Apache Flink
The solution architecture consists of a real-time streaming pipeline that ingests reviews into a Kinesis Data Stream, processes them using Managed Service for Apache Flink, and utilizes Amazon Bedrock for generative AI capabilities.
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