Discover how inline AI transforms manufacturing, boosts robustness, and redefines European efficiency. Precision meets innovation in real-world production.

In this episode, I dive deep into the future of industrial AI with Andreas de Jonge, exploring how inline AI is reshaping real-world manufacturing. We discuss why tailored, ultra-efficient AI models can outperform bulky, generic solutions—especially in Europe’s highly specialized industries. Andreas shares how his company’s EdgeBrain device brings intelligence directly to the data stream, enabling plug-and-play integration and unprecedented robustness for even the oldest production lines. Together, we unpack the challenges of brownfield integration, the power of synthetic data, and the path to true European digital sovereignty. If you’re curious about the next wave of industrial automation and what it means for productivity, this conversation is not to be missed.

Siemens

https://www.siemens.com/global/en.html

EdgeBrain

[https://dejonge.ai/en)

FPGA (Field Programmable Gate Array)

https://en.wikipedia.org/wiki/Field-programmablegatearray

TensorFlow

https://www.tensorflow.org/

PyTorch

https://pytorch.org/

ONNX (Open Neural Network Exchange)

https://onnx.ai/

Teacher-Student Model (Knowledge Distillation)

https://en.wikipedia.org/wiki/Knowledge_distillation

Industrial Ethernet

https://en.wikipedia.org/wiki/Industrial_Ethernet

Brownfield Integration

https://en.wikipedia.org/wiki/Brownfield(softwaredevelopment)

Unmanned Aerial Vehicle (UAV)

https://en.wikipedia.org/wiki/Unmannedaerialvehicle

PLC (Programmable Logic Controller)

https://en.wikipedia.org/wiki/Programmablelogiccontroller