Learn more about upcoming Events
AI & Data Sovereignty: From Legal Blocker to Business Enabler
In an era where AI and data-driven business models set the pace, sovereign control over one's own data is becoming a decisive competitive factor. At the same time, legal and security challenges are growing. The event highlights data sovereignty and offers practical solutions for companies.
Clawdbot
Clawdbot impresses with its practical approach to dialogue-oriented AI. We are hosting an open forum discussion. Following a brief, moderated introduction and demo, we will open the floor for open discussion: sharing insights, comparing experiences, discussing next steps.
Use Case Masterclass – From Idea to Productive AI Case
Here, participants learn a pragmatic approach to turning an AI idea into a production-ready use case plan. Focus: Concept, measurable value, feasibility and risks, prioritization, and the path to MVP and production, including make-or-buy. Result: AI use case canvas and clear next steps.
Beyond the operative toolbox: Architecting your now-code/low-code
No-code/low-code platforms often accelerate automation and AI workflows faster than traditional delivery cycles. However, it becomes crucial when companies scale beyond individual use cases: then clear rules are needed on where NC/LC makes sense, what can be run with it, and how risks are managed.
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.
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.
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.