Learn more about upcoming Events
Industrial AI: Best Practices from China to Create Value in Europe
A rare and exclusive opportunity to meet Steven Gao (CEO) and Justin Li (CSO) of IndustrialMind.ai in person, over coffee and pretzels. In a keynote, they will share an action-oriented perspective on how industrial organizations can turn AI from experimentation into measurable operational impact.
AI Agents in Manufacturing: From Pilot Chaos to Scalable Impact
Many industrial companies run early analytics and AI pilots but struggle to scale across plants, lines, and use cases. This talk highlights the key hurdles—and how multi-agent systems can unlock scalable impact in brownfield settings, from OEE/OTD/NWC improvements to practical steps companies can take today.
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.
AI Readiness and Operating at Scale — An Architectural Guide
What does it take to run AI reliably at scale. We break the stack into three dimensions—Data, AI/ML Ops, and Foundation—and show key considerations for each. Expect practical signals to watch, decision checkpoints to frame trade‑offs, and KPIs that balance reliability, quality, latency, and cost.
Governing AI Citizen Development in the Enterprise
The latest wave of Low-code platforms & agentic tools are enabling non-tech teams to build AI fast — but governance is struggling to keep up. Join our roundtable to explore real-world risks, practical governance frameworks, lessons learned & how to scale citizen AI without losing control.
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.
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.