AI Innovator Munich with Weights & Biases × AppliedAI

Building Enterprise AI Platforms at Scale

Leading organisations are quickly identifying how AI agents and models can transform their organisations but face significant challenges operationalising them reliably, compliantly, and at scale. Weights & Biases and AppliedAI are hosting an evening in Munich for senior AI leaders, engineers, and practitioners facing this challenge and ready to discover how to build an AI platform that makes agents and models both scalable and governed, without slowing down innovation.

Whether you are scaling a mature AI platform, building an AI governance framework from scratch, or working out how to make production AI repeatable across teams, the evening offers directly applicable insights across every stage of the AI journey.

What to expect

A practical, no-nonsense guide to AI governance and EU AI Act readiness - what technical leaders actually need to implement, not just what the regulation saysA blueprint for moving beyond isolated pilots and into production-grade AI systems that scale reliably across teams and the wider organisationHow robotics organisations are operationalising AI today, and the lessons enterprise teams can take directly back to their own platformsNetworking over drinks with Munich's senior AI engineering community

What you’ll learn

Governance as the foundation: how to translate EU AI Act requirements into real engineering workflows, embedding compliance into development from day one and building trust through transparency, evaluation, and auditability.The AI control plane: obtaining an organisational, single layer of visibility and control across every model, application, or AI agent, by monitoring performance, running evaluations, and driving continuous improvement throughout their full lifecycle.From POC to production at scale: the evaluation pipelines, observability practices, infrastructure patterns, and organisational readiness needed to make AI repeatable and reliable across teams.Lessons from robotics: why robotics teams are ahead in operationalising AI, and how enterprise teams can apply their approach to managing real-world complexity, robust evaluation, and accountable AI platforms.

Who should attend

Senior AI & leadersAI engineers, AI researchers & AIOps practitionersRobotics & physical AI teamsPlatform & Infrastructure AI product leaders & managersAnyone building, scaling, and operationalising production AI systems, aligning governance and compliance or accountable for AI strategy and outcomes

Featured talk from Weights & Biases

From physics to intelligence: Scaling robotics & physical AI

Robotics and physical AI systems introduce a new level of complexity to the AI 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 environmentsTracking multimodal data (vision, sensor, control signals) at scaleEvaluating embodied AI systems beyond traditional metricsBuilding reproducible workflows for robotics and physical AI teams

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