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World Congress 2026 Europe • Jul 9, 2026 • Session details

Your Distributed System Just Got a Brain. Now What?

Marcin Makowski

Treating AI as a predictable microservice will inevitably collapse your distributed systems. Discover why engineering teams must never deploy an artificial brain without a deterministic nervous system.

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#1 about 2 min

Integrating probabilistic AI into distributed systems

Adding artificial intelligence introduces probabilistic dependencies that challenge traditional deterministic architectures.

#2 about 3 min

Why probabilistic models break retry semantics

Large language models generate varying outputs for identical inputs, turning standard retries into unpredictable business decisions.

#3 about 1 min

Separating AI inference from business state mutations

AI outputs should serve as proposals bounded by explicit business rules rather than direct state changes.

#4 about 2 min

Establishing deterministic checkpoints in AI workflows

Systems must freeze model versions, prompts, and contexts to guarantee repeatable execution paths and stable explanations.

#5 about 2 min

Translating unstructured documents into executable business logic

Artificial intelligence can automatically extract facts and propose execution rules using formal decision and process models.

#6 about 2 min

Enforcing human-in-the-loop governance for AI-generated models

AI-generated logic requires explicit review, testing, and approval by humans before moving into production runtimes.

#7 about 3 min

Designing open modeling environments for hybrid architectures

Connecting open building blocks establishes a model-driven layer that functions alongside traditional engineering constraints.

#8 about 2 min

Managing enterprise execution with the Operate runtime

An open execution layer translates approved workflows and generated decisions into durable, auditable business logic.

#9 about 2 min

Embedding the Java runtime in developer environments

Developers can configure the execution layer natively within common containerized or Java-based frameworks.

#10 about 2 min

Governing enterprise logic in an AI-driven landscape

Sustaining an intelligent system requires that generated logic remains validated, executable, and fully auditable by humans.

Matching moments

2:02 min

Redefining the software architect role for AI pipelines

Ingo Eichhorst Ingo Eichhorst · WWC Europe 2026

3:34 min

Architecting autonomous agents for production lifecycle management

Sebastian Kister Sebastian Kister · WWC Europe 2026

1:29 min

Overcoming challenges in AI-assisted distributed system development

Przemysław Ładyński Przemysław Ładyński · WWC Europe 2026

1:30 min

Transitioning from machine learning models to complex agentic systems

Alejandro Saucedo Alejandro Saucedo · WWC 2025

1:03 min

Establishing runtime governance for scalable enterprise AI systems

Péter Farkas Péter Farkas · Europe 2026 Virtual

4:29 min

Designing AI applications defensively for inevitable failures

Krzysztof Cieślak Krzysztof Cieślak · WWC Europe 2026

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