Webinar: Connecting IoT to Edge AI: Why Connectivity Matters for Physical AI
Edge AI is moving intelligence closer to where data is generated - but without the right connectivity, physical AI systems cannot operate reliably or scale effectively.
As organisations deploy AI across connected devices, machines and distributed edge infrastructure, connectivity becomes a critical part of the architecture rather than simply a way of transporting data.
Join Joseph Attwood, Senior Analyst at Analysys Mason, and Nadav Doron, VP Product at FLOLIVE®, as they explore how IoT connectivity needs to evolve to support the next generation of physical AI applications.
Drawing on Analysys Mason research and real-world connectivity experience, the session will examine how organisations can connect distributed IoT environments to edge AI infrastructure - and what they should expect from a global IoT connectivity provider.
What You’ll Learn
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What the distributed physical AI stack looks like - and where connectivity fits within it
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The connectivity requirements of edge AI - from reliability and latency to global coverage and scalability
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What to look for in an IoT connectivity provider when deploying distributed AI-enabled systems
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How organisations can scale physical AI deployments without introducing unnecessary connectivity complexity
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How Flolive is supporting customers as IoT, edge computing and AI increasingly converge
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