The Future of AI-Ready Integration with Data Streaming powered by Apache Kafka and Flink
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How Siemens, SAP, and Confluent Shape the Future of AI Ready Integration – Highlights from the Rojo Event in Amsterdam

Many enterprises want to become AI ready but are limited by slow, batch based integration platforms that prevent real time insight and automation. The Rojo “Future of Integration” event in Amsterdam addressed this challenge by bringing together Siemens, SAP, Rojo, and Confluent to show how event driven and intelligent data architectures solve it. The discussions revealed how data streaming with Apache Kafka and Flink complements traditional integration tools, enabling continuous data flow, scalability, and the foundation for AI and automation. This blog summarizes the key learnings from the event, including my presentation “AI Ready Integration with Data Streaming,” and insights from Siemens, SAP, and Rojo on how enterprises can build truly connected, AI ready ecosystems.
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Apache Camel vs Apache Kafka Comparison
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When to use Apache Camel vs. Apache Kafka?

Should I use Apache Camel or Apache Kafka for my next integration project? The question is very valid and comes up regularly. This blog post explores both open-source frameworks and explains the difference between application integration and event streaming. The comparison discusses when to use Kafka or Camel, when to combine them, when not to use them at all. A decision tree shows how you can quickly qualify out one for the other.
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Is Apache Kafka an iPaaS or is Event Streaming its own Software Category?

This post explores why Apache Kafka is the new black for integration projects, how Kafka fits into the discussion around cloud-native iPaaS solutions, and why event streaming is a new software category. A concrete real-world example shows the difference between event streaming and traditional integration platforms respectively iPaaS.
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