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For a broader adoption of AI in industrial production, adequateinfrastructure capabilities are crucial. This includes easing the integrationof AI with industrial devices, support for distributed deployment, monitoring,and consistent system configuration. Existing IIoT platforms still lackrequired capabilities to flexibly integrate reusable AI services and relevantstandards such as Asset Administration Shells or OPC UA in an open,ecosystem-based manner. This is exactly what our next level IntelligentIndustrial Production Ecosphere (IIP-Ecosphere) platform addresses, employing ahighly configurable low-code based approach. In this paper, we introduce thedesign of this platform and discuss an early evaluation in terms of ademonstrator for AI-enabled visual quality inspection. This is complemented byinsights and lessons learned during this early evaluation activity.

Developing an AI-enabled IIoT platform -- Lessons learned from early use case validation