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.

In this webinar, you will discover:

• What the distributed physical AI stack looks like – and where connectivity fits within it
• The connectivity requirements of edge AI – from reliability and latency to global coverage and scalability
• What to look for in an IoT connectivity provider when deploying distributed AI-enabled systems
• How organisations can scale physical AI deployments without introducing unnecessary connectivity complexity
• How Flolive is supporting customers as IoT, edge computing and AI increasingly converge