Source link : https://tech365.info/the-lacking-knowledge-hyperlink-in-enterprise-ai-why-brokers-want-streaming-context-not-simply-higher-prompts/
Enterprise AI brokers at present face a elementary timing downside: They’ll’t simply act on vital enterprise occasions as a result of they aren’t all the time conscious of them in real-time.
The problem is infrastructure. Most enterprise knowledge lives in databases fed by extract-transform-load (ETL) jobs that run hourly or each day — finally too sluggish for brokers that should reply in actual time.
One potential strategy to sort out that problem is to have brokers immediately interface with streaming knowledge programs. Among the many major approaches in use at present are the open supply Apache Kafka and Apache Flink applied sciences. There are a number of business implementations primarily based on these applied sciences, too, Confluent, which is led by the unique creators behind Kafka, being considered one of them.
In the present day, Confluent is introducing a real-time context engine designed to unravel this latency downside. The know-how builds on Apache Kafka, the distributed occasion streaming platform that captures knowledge as occasions happen, and open-source Apache Flink, the stream processing engine that transforms these occasions in actual time.
The corporate can be releasing an open-source framework, Flink Brokers, developed in collaboration with Alibaba Cloud, LinkedIn and Ververica. The framework brings event-driven AI agent capabilities on to Apache Flink, permitting organizations to construct brokers that monitor knowledge streams and set off…
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Author : tech365
Publish date : 2025-10-29 16:32:00
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