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Smarter by Design – Embedded AI for Industry (and Mobility)

A session on building AI directly into hardware and products — for real-time, on-device intelligence in industrial machinery and mobility applications (e.g. predictive maintenance, process optimization, driver assistance) — rather than relying on the cloud.

PRESENTATION 1

Embedded AIs for Industry - 2 use cases

Jérémie Guignard, PhD, R&D Funding Manager, Technology & Strategy

Embedded AI is transforming industrial and automotive systems by bringing intelligence closer to where data is generated. This presentation focuses on two use cases: computer vision on production lines within an Industry 5.0 framework for real-time quality control, and embedded AI in automotive ECUs, enabling, among other capabilities, on-board diagnostics directly at the source.

PRESENTATION 2

Supply Chain: AI No Longer Just Advises—It Takes Action

Guillaume Blanc, CEO and Founder, Monstock

As pioneers in this field since 2024, Monstock has seen artificial intelligence reach a new milestone: it no longer merely analyzes or makes recommendations—it takes action. AI agents and Supply Action are paving the way for a supply chain capable of anticipating needs, orchestrating flows, and triggering operational actions to accelerate decision-making and bring about tangible changes in operations.

PRESENTATION 3

Retrofit Meets Embedded AI: Making 60 Million Legacy Machines Smarter – Without the Cloud

Dr. Tolgay Ungan, CEO and Founder, Endiio Engineering GmbH

90% of the 60 million machines in factories are neither smart nor connected. Tolgay Ungan, CEO of endiio engineering, shows how battery-free wireless vibration sensors and embedded AI turn legacy machines into intelligent assets – real-time and on-device, without the cloud. A real-world case from the paper industry shows how a bearing failure was predicted and 10,000 € saved.