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Part II: From Models to Systems: Building Real AI Infrastructure

How streaming, feedback, and governance turn algorithms into intelligence. In Part I, we established that a Large Language Model is not Artificial Intelligence. LLMs generate text but AI systems generate outcomes. Now we’ll look at what makes those systems real: data flow, feedback, and accountability. The Lifecycle of Real Intelligence A genuine AI implementation is […]

Part II: From Models to Systems: Building Real AI Infrastructure Weiterlesen »

Real-Time AI Isn’t Built in Slides—It’s Built Like a Cockpit

You don’t fly a plane with a keynote. You fly it with systems that work under pressure. There’s something strangely comforting about a well-designed slide deck. It’s clean, it’s abstract, it’s full of possibilities. But here’s the problem: planes don’t fly on possibilities. They fly on systems. On gauges, sensors, feedback loops, and real-time decisions.

Real-Time AI Isn’t Built in Slides—It’s Built Like a Cockpit Weiterlesen »

Kafka Isn’t Just a Queue. And Flink Isn’t Just a Buzzword.

Why real-time systems aren’t luxury infrastructure—they’re how smart businesses stay ahead. Let’s get one thing out of the way:Batch is fine—for laundry. Not for decisions. Most companies still move data the same way they moved it in 2005: extract, load, wait, analyze, repeat. It’s comfortable. It’s familiar. But it’s also a few hours—or days—behind what’s

Kafka Isn’t Just a Queue. And Flink Isn’t Just a Buzzword. Weiterlesen »