Today’s fast-paced, hyper-connected world demands faster processing and seamless digital experiences, but many telcos need to update infrastructure and develop new skillsets to manage applications across a distributed edge environment. Intelligent Edge Application Platform (IEAP) bridges this gap and enables telcos to transform 5G networks into hubs of innovation.

IEAP acts as the central nervous system and provides the infrastructure, tools, and capabilities to deploy, optimize, secure, and deliver innovative services. With a library of ready-made applications, and the capability to develop customized use cases for varied industries, telcos can deploy a range of custom applications across industries, driving innovation and reducing time-to-market . And, with the ability to monetize 5G networks with value-add services like data analytics, new revenue streams are unlocked.  

Revenue from the edge

The traditional CSP revenue model has relied almost exclusively on selling connectivity. CSPs’ ownership of network infrastructure has given them the ability to profit from a surge in distributed computing and mobile services over the past 20 years, charging consumers for the bandwidth required to connect them with online services.

But revenue from traditional connectivity is no longer a route to growth. Traditional text and voice services (for which CSPs charge customers directly) are in decline. At the same time, the cost of maintaining and improving networks to keep up with increasingly complex and data-heavy services is substantial. This combination of declining revenue streams and rising infrastructure costs has dented the growth plans of many CSPs.

So, what steps should CSPs take to adapt, and unlock the revenue opportunities that lie at the edge of their networks?

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Powering industrial private 5G. Blueprint

The demo showcases a warehouse setup using a 5G-based CBRS network, AI, and edge computing to enable advanced use cases like autonomous guided vehicles and real-time analytics for better decision-making. When computer vision detects a product ready for transport, it triggers an Autonomous Mobile Robot (AMR) to move the item to its designated location without human intervention.

This blueprint, created through a collaboration between three leaders in 5G private networks, integrates Intel’s FlexRAN for the RAN’s software-based layer, HTC’s G REIGNS for RAN and core technologies, and Capgemini’s software frameworks, including Intelligent Edge Applications Platform, and systems integration. Focused on sustainability, the solution seamlessly connects IT and OT, supporting enterprises that are embracing AI and edge computing.