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World Congress 2026 Europe - Virtual Stage • Jul 2, 2026 • Session details

Industrial AI: Built for reality, operation, and people

Freya Menzel , Timo Brenningmeyer

An ungrounded LLM hallucination on a factory floor is a severe physical safety hazard. Discover how the Model Context Protocol safely bridges modern AI with decades-old legacy machinery.

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#1 about 2 min

Connecting legacy manufacturing environments to modern AI systems

Connecting decades-old factory machines to modern AI systems requires addressing their unique operational realities.

#2 about 1 min

Financial impact of unplanned downtime in manufacturing operations

Resolving expensive equipment failures quickly requires deep operational context beyond simple anomaly detection.

#3 about 1 min

Navigating the AI adoption gap in the manufacturing sector

Organizations struggle to move beyond isolated pilots to generate enterprise-wide value in industrial settings.

#4 about 2 min

Challenges of deploying software in brownfield manufacturing environments

Integrating modern AI solutions into legacy production lines requires navigating multiple machine generations and proprietary protocols.

#5 about 1 min

Evaluating operational risks of replacing legacy manufacturing infrastructure

Tearing out existing production assets creates unacceptable operational risks and unjustifiable investment challenges for manufacturers.

#6 about 2 min

Bridging operational technology with modern AI reasoning systems

Building foundational bridges between raw machine data and large language models preserves existing functional production systems.

#7 about 2 min

Building scalable industrial software using ready-to-deploy component blocks

Combining domain expertise, industrial connectivity, and AI architectures creates out-of-the-box ecosystems that deliver rapid value.

#8 about 2 min

Creating unified modular ecosystems for better operational decisions

Connecting edge services, digital assistants, and AI agents transforms disconnected machine data into actionable operational knowledge.

#9 about 2 min

Solving the actionability gap in industrial AI projects

Failing to ground advanced models in deterministic facts leaves operators overwhelmed by abstract error codes and anomalies.

#10 about 2 min

Abstracting physical machine boundaries using industrial edge gateways

Deploying containerized protocol adapters translates legacy proprietary fieldbus signals into a clean software layer without modifying fragile PLC code.

#11 about 2 min

Structuring raw telemetry data into a unified namespace

Cleaning and aligning high-frequency sensor metrics into contextualized time-series databases ensures accurate AI ingestion.

#12 about 2 min

Implementing the Model Context Protocol for multimodal grounding

Standardized bilateral gateways allow AI agents to dynamically fetch precise telemetry windows based on semantic requests without custom connectors.

#13 about 2 min

Wrapping multimodal cores in closed-loop agentic workflows

Cross-referencing live telemetry against documented tolerances generates safe, deterministic step-by-step resolution paths rather than hallucinated instructions.

#14 about 4 min

Designing multimodal AI interfaces for shop floor operators

Combining voice, vision, and operational context delivers intuitive guidance tailored for noisy physical environments.

Matching moments

40 sec

Introduction to building real-world AI agent solutions

Dennis Zielke Dennis Zielke +1 · World Congress 2025

3:46 min

Scaling AI applications within standard manufacturing processes

Antonella Mei-Pochtler Antonella Mei-Pochtler +3 · World Congress 2026 Europe

2:21 min

Overcoming operational challenges in AI adoption

Björn Bringmann Björn Bringmann +3 · World Congress 2024

3:09 min

Overcoming barriers to infrastructure automation and AI

Alfonso Sandoval Rosas Alfonso Sandoval Rosas · Europe 2026 Virtual

2:12 min

Introduction to hybrid AI and production challenges

Jan Schweiger · World Congress 2022

2:03 min

Addressing institutional inertia and AI pilot failures

Alexandre Guenoun Alexandre Guenoun +3 · World Congress 2026 Europe

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