Generative AI is opening up fascinating new possibilities. But the journey from an impressive first demo to a stable product is full of unique challenges. To ensure the professional operation of these systems, a new discipline is emerging: GenAI-Ops (Generative AI Operations).
It addresses the specific challenges that come with generative AI:
How can we ensure the quality and reliability of critical applications? This applies not only when switching to new LLMs, but also when operating complex RAG (Retrieval-Augmented Generation) systems with constantly evolving knowledge bases. How do you test systems whose outputs are never the same?
Things get even more complex with emerging architectures like Agentic AI, where multiple AI steps interact autonomously. How can we maintain control over costs and protect such systems from misuse? How do we gain the necessary observability to quickly detect errors in these multi-layered processes and optimize performance in a targeted way?
This webinar provides the answers. We’ll present hands-on solutions to these challenges.
The webinar will be held in German.
