AI is moving beyond the digital world and into physical systems: autonomous vehicles, robots, drones, cameras and connected machines that need to sense, decide and act in real time.
That shift changes what enterprises need from connectivity.
In this episode of IoT and AI Leaders, Nick Earle speaks with Nir Shalom, CEO of FLOLIVE, about why today’s operator-centric networking model may not be sufficient for physical AI at scale.
Their discussion explores the changing relationship between AI, IoT and cellular networks; where AI inference should happen; why latency, resilience and data sovereignty become increasingly important; and how AI agents could eventually request network capabilities dynamically.
At the heart of the conversation is a significant architectural shift: from networks that customers adapt their applications to, toward networks that dynamically adapt themselves to the customer’s requirements.
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