🧠 Your AI is only as good as its context. 🧠
As AI systems move into real-world products, context becomes the difference between a promising demo and a reliable, scalable application.
Static model outputs are no longer enough. Modern AI systems need secure, structured connections to tools, data, workflows, APIs, and dynamic environments.
That’s where Model Context Protocol (MCP) comes in.
At MLCon Munich 2026, Johanna Wachsmann, Daniel Sogl, Mirza Klimenta, and Melanie Bauer will explore how AI engineering is evolving beyond isolated model responses toward context-aware systems, scalable pipelines, and production-ready infrastructure.
You’ll get practical insights covering:
🔧 Scalable NLP pipelines
⚙️ Spec-driven development
🏭 AI in manufacturing environments
☁️ LLM tooling and infrastructure in Azure
🛡️ The security and architecture questions behind MCP adoption
Don’t miss the sessions shaping the next decade of AI engineering.
MLcon | 📍 Munich | 📅 June 22–26, 2026 |
mlconference.ai/munich/progr…
Want to dive deeper into MCP?
Our whitepaper “Model Context Protocol Under the Microscope” takes a closer look at MCP architecture, clients, servers, tools, resources, sessions, maturity levels, and the security risks teams need to understand before bringing MCP into production.
Read the full whitepaper:
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mlconference.ai/model-contex…
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