In this episode of AI at Scale podcast, I sit down with Ghaia Belaakaria, Senior Data Scientist, Embedded AI at Schneider Electric, to explore a powerful shift in how enterprises think about artificial intelligence. This conversation focuses on embedded and edge AI, where intelligence runs directly on devices, close to the physical world.
What you will learn:
Why smaller AI models are critical for scalability, robustness, and sustainability
How embedded and edge AI improve safety, reliability, and efficiency in real‑world systems
Examples of where edge AI is already creating value across segments
The trade‑offs leaders must understand when downsizing AI models without losing performance
Which future applications—tinyML, robotics, physical AI— will have the biggest impact
It is a great episode to rethink AI beyond the cloud and discover a pragmatic perspective on when less can truly be more.
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