Learn more about upcoming Events
Data-Knowledge and Risk Management
The AgentOps working group brings together leading technical and governance experts to define the technical and operational procedures necessary for the secure, reliable, and scalable development, deployment, and monitoring of agent-based AI systems in production.
From Multi-Agent Systems to Measurable Value
Experimental AI is over. In 2026, German industry moves from “What can agents do?” to “How do agents scale the bottom line?” Join our exclusive 5-session working group led by our Head of Agentic AI to explore the economics of Multi-Agent Systems—process impact, cost shifts, and real ROI.
Joint Project and Shared Engineering Hub
This kickoff launches a joint partners-SAP–appliedAI project as shared engineering: partners contribute use cases, data, and engineering input; SAP enables the core tech; appliedAI coordinates and turns requirements into a scalable shared core. Session aligns structure, priorities, roles, owners, timeline, next steps.
What Makes a Truly Great Agentic AI Use Case?
Expert session on how to identify, design, and scale high-impact agentic AI use cases—from technical and business perspectives. We’ll compare agentic AI with RPA and classic ML, clarify where agentic systems create real value, and define organizational readiness. Expect concrete high-value use cases & lessons learned.
Claude Code & Best Practices - How to Shape a Project with AI
You’ll learn how to set up Claude Code for effective AI-assisted development from day one—focusing on the foundations beyond writing code. We cover how Claude “thinks,” context management, the CLAUDE.md file, reusable workflows via Skills and Slash Commands, and MCP connections to tools like GitHub and databases.
Agent Architectures Benchmark
This masterclass demystifies LLM agents and compares common architectures (single vs multi-agent; supervisor/subagents, handoffs, skills). Learn where agents break, how to weigh cost/latency/overhead, and leave with a simple benchmarking checklist. No live coding.
Agentic Memory Architectures: From Retrieval to Cognitive Memory
A practical masterclass on how different memory architectures shape what AI agents can preserve and use over time. We cover the evolution, factual vs cognitive memory, compare retrieval-based, self-managing, and graph-based approaches, and show how to choose the right memory design for real agent use cases.
Making AI Stick: Roundtable on Change Management for AI Transformation
An interactive roundtable on why strong change management is essential to introduce and scale AI—and how to set it up in practice. The session explores adoption, mindset shifts, governance, and enablement, enriched by short expert impulses and real-world lessons learned, with practical takeaways participants can apply.
Multi-Agent AI in Enterprise
Agents are moving from pilots to production, and multi-agent systems are going live across enterprises. Where does your company stand? Join practitioners and leaders for a deep dive with demos, deployments, scaling, governance, and engineering best practices.
AI's Blind Spots: From Prompt Injection to Rogue Agents
This Learn@Lunch is about security and reliability blind spots in modern AI. We cover prompt injection in LLMs, embedding leakage (vec2text), and risky agent behavior in real-world use. You’ll see concrete attack/failure examples and learn what to watch for when building or using LLM apps and agents.