You’ll hear my conversation with John Harrington of HighByte, who breaks down the role of MCP services and why they’re critical for bridging the gap between factory data and intelligent agents.
In this episode, we journey from weather woes in Franconia straight into the heart of Amsterdam’s AI innovation, exploring what happens when robotics, world models, and agentic AI collide. We share our firsthand impressions from deep-dive research sessions at Lab42, where startups and researchers are joining forces to push industrial AI forward. You’ll hear my conversation with John Harrington of HighByte, who breaks down the role of MCP services and why they’re critical for bridging the gap between factory data and intelligent agents.
We don’t just talk tech—we talk about the people, the practical challenges, and the evolving landscape that’s making industrial data accessible to everyone, not just engineers. If you’re curious about how symbolic AI, digital cousins, and scalable architectures are transforming manufacturing, or you want to know what’s next for AI in the Alps, this episode is your front-row seat. Tune in for insights, laughs, and a clear-eyed look at the road ahead for industrial-grade AI.
Siemens
https://www.siemens.com/global/en.html
HighByte
MCP (Model Context Protocol)
https://docs.anthropic.com/claude/docs/model-context-protocol-mcp
OPC Foundation
OPC UA (Open Platform Communications Unified Architecture)
https://opcfoundation.org/about/opc-technologies/opc-ua/
MES (Manufacturing Execution System)
https://en.wikipedia.org/wiki/Manufacturingexecutionsystem
Anthropic
Snowflake
Amazon Web Services (AWS)
Azure (Microsoft Azure)
Pi System (OSIsoft)
https://www.osisoft.com/pi-system/
AspenTech
Novotek
MQTT
REST API
https://en.wikipedia.org/wiki/Representationalstatetransfer
Lab42 (Lab Forty Two)
OPC UA Information Model
https://opcfoundation.org/about/opc-technologies/opc-ua/opc-ua-information-model/