# kafka-stream-processing

Published articles for kafka-stream-processing.

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## Real-Time Data for Real-Time AI: Designing Event-Driven Cloud Architectures for Autonomous Decision

DevFeed: [Real-Time Data for Real-Time AI: Designing Event-Driven Cloud Architectures for Autonomous Decision](<https://devfeed.tech/articles/real-time-data-for-real-time-ai-designing-event-driven-cloud-architectures-for-autonomous-decision-60589.md>)

Original publisher: [Read original article](<https://hackernoon.com/real-time-data-for-real-time-ai-designing-event-driven-cloud-architectures-for-autonomous-decision?source=rss>)

Author: Sunilkumar Reddy Eraganeni

Published: 2026-09-27T11:33:05Z

Content type: article

Language: en

Sources: [HackerNoon](<https://devfeed.tech/sources/hackernoon.md>)

Topics: [Event-Streaming](<https://devfeed.tech/topics/event-streaming.md>), [stream-processing](<https://devfeed.tech/topics/stream-processing.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Apache Kafka](<https://devfeed.tech/topics/apache-kafka.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [architectures](<https://devfeed.tech/tags/architectures.md>), [data-pipeline](<https://devfeed.tech/tags/data-pipeline.md>), [event-driven-ai-architecture](<https://devfeed.tech/tags/event-driven-ai-architecture.md>), [fraud-detection-architecture](<https://devfeed.tech/tags/fraud-detection-architecture.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [kafka-stream-processing](<https://devfeed.tech/tags/kafka-stream-processing.md>), [low-latency-ai-systems](<https://devfeed.tech/tags/low-latency-ai-systems.md>), [point-in-time-correctness](<https://devfeed.tech/tags/point-in-time-correctness.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [real-time-ai-data-pipelines](<https://devfeed.tech/tags/real-time-ai-data-pipelines.md>), [real-time-ml-inference](<https://devfeed.tech/tags/real-time-ml-inference.md>), [streaming-ai-data-pipelines](<https://devfeed.tech/tags/streaming-ai-data-pipelines.md>)

### AI overview

The article explains how to design event-driven cloud systems for AI decisions with latency requirements. It stresses defining the decision's time budget, choosing streaming only when needed, and handling event-time processing issues such as late-arriving events and watermarks.

### Source excerpt

A model can be accurate and still make useless decisions if its data arrives too late. Learn how to build low-latency, event-driven AI systems.