Indoor location technology has traditionally been viewed as little more than asset tracking. But what happens when precise location data becomes contextual intelligence?
In this episode, Nick Earle speaks with Samuel Van de Velde, Founder and CTO of Pozyx, about why the future of industrial AI starts with understanding not simply where people and assets are, but what their movements actually mean.
From dairy farms and manufacturing plants to AI-generated factory applications, Samuel explains how location data evolves into semantic understanding, enabling automation, process optimisation, predictive operations, and eventually software that builds itself around users in real time.
This conversation explores how IoT, AI, real-time location systems (RTLS), and enterprise software are converging to reshape industrial operations.
Key Takeaways
- Accurate positioning is only valuable when transformed into operational context.
- Semantic understanding creates significantly greater business value than simple location tracking.
- AI performs best when IoT data is enriched with contextual meaning rather than raw telemetry.
- Manufacturing is emerging as one of the strongest convergence points for AI and IoT.
- Dynamic AI-generated enterprise applications could fundamentally reshape industrial software over the next decade.
Key Topics & Chapters
00:00 Introduction: Why location is about much more than tracking
02:00 Samuel’s background and founding Pozyx
04:30 Ultra-Wideband versus Bluetooth positioning
07:00 Why precision creates entirely new business opportunities
09:00 Dairy farming, AI and behavioural analytics
15:00 From cows to healthcare and industrial applications
19:00 The evolution of Pozyx into industrial software
21:00 Manufacturing workflows and real-time operational visibility
27:00 IoT meets AI: building semantic context
33:30 The next generation of factory software
40:30 AI-generated enterprise applications
43:30 Closing thoughts
