KI in der Praxis: Architekturentscheidungen & Softwarequalität im Wandel

AI in Practice: Architecture Decisions & Evolving Software Quality

How can proof-of-concepts be transformed quickly into stable, compliant systems?

This event presents practical architecture decisions and patterns that connect integration paths, MLOps/LLMOps pipelines, and human-in-the-loop feedback to balance latency, cost, robustness, and compliance.

We’ll also explore how AI is reshaping the roles of testers and quality engineers. Instead of isolated test cases, quality now becomes a continuous, integral part of software development. The talks provide insights into current trends and show how to navigate the next era of software quality.

Join us for three compact expert talks at Merantix Campus Berlin, followed by discussions, Q&A, and networking with snacks and drinks.

Who should attend?

Software architects, developers, enterprise architects, CTOs, IT leaders, tech leads, product owners, and anyone building or operating AI-based systems with a focus on quality and reliability.

🎟️ Limited seats available, register below

🇩🇪 Talks will be held in German.

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Highlights

1. Architecture shortcuts for productive AI systems — clear decisions instead of open to-dos

Dimitri Blattner

How to move AI projects efficiently from PoC to production with practical architecture patterns, integration paths (API calls, embeddings + RAG, fine-tuning, agents), and operational building blocks like model versioning, evaluation pipelines, and observability.

2. AI takes over? A turning point in software quality

Richard Seidl

Testing is evolving — it’s no longer just about executing cases but influencing quality throughout development. What happens when AI reshapes testing, automation, and quality roles?

3. AI in Requirements Engineering — hype vs. reality

Gorjan Lojpur

A pragmatic look at where AI really helps in capturing and writing requirements — cutting through hype and sharing lessons from practice and research.