AI Innovators Munich with Weights & Biases × AppliedAI

An evening of technical talks from Weights & Biases and appliedAI, focused on building and deploying real-world AI systems. Expect practical insights, concrete examples, and time for discussion.

We’ll close with informal networking, and a chance to connect with peers from the Munich AI community over food and drinks.

• How to structure and scale experimentation for real-world AI systems
• Practical approaches to evaluating complex AI and agent workflows
• How to move from prototype to production-ready AI solutions
• Best practices for operationalizing AI agents in enterprise environments
• Key considerations for governance, reliability, and deployment

• ML Engineers and AI Researchers
• Robotics & Physical AI teams
• Platform & MLOps engineers
• AI product leaders and technical decision-makers
• Anyone working on deploying AI systems into real-world environments

From Physics to Intelligence: Scaling Robotics & Physical AI

Robotics and physical AI systems introduce a new level of complexity to the ML lifecycle, combining simulation, real-world data, hardware constraints, and large-scale experimentation.

In this session, we’ll explore:

• Managing experimentation across simulation and real-world robotics environments
• Tracking multimodal data (vision, sensor, control signals) at scale
• Evaluating embodied AI systems beyond traditional ML metrics
• Building reproducible workflows for robotics and physical AI teams

We’ll share practical lessons from teams developing next-generation intelligent systems, and how modern MLOps tooling accelerates iteration from physics to deployed intelligence.