Lead with AI in autonomous networks

Legacy systems are not able to keep up. It’s time to uncover the AI tools essential for handling complex, dynamic networks.

Get ahead—read our new guide

One vision, multiple views on taking RAN automation into the future

A revolution is underway in RAN automation, and several aspects must be considered on the journey toward fully autonomous networks—from the demands of new security measures to the impact of AI. Our new guide series dives into the key developments surrounding the ongoing transformation, focusing on the RAN automation trends and technologies you’ll need to master in the near future. And lead you with expert guidance to ensure you make that change in the best way.

Moving past legacy tools

Standard RAN automation tools have helped networks get to where they are today. But as network complexity and scale explodes, these tools become inefficient. The solution is AI-powered intelligent automation, capable of making the right decisions without human intervention.

Read the new guide to make the shif

Five key influences are accelerating the transition to higher levels of network autonomy. This series of guides will cover each one in depth—and how to navigate the transition effectively.

View 1: Goodbye SON, hello rApps!

As network complexity explodes and users’ demands escalate, a suite of new tools arrives to enable truly intelligent RAN automation. Break through the limitations of self-organizing networks (SON) and enable the future.

Read the report to learn about the possibilities opened up by SMO, non-RT RIC, and rApps and discover the best path to migrating from SON and implementing them in your network

Read this guide

View 2: Lead with AI in autonomous networks

Soon, legacy automation systems based on manual configurations simply won’t
be capable of handling network’s intricacy and dynamism. AI will be essential for
supporting operations and allowing networks to continue evolving.

In this guide, we take a detailed look at the role of AI in autonomous networks,
focusing on the AI techniques being utilized, the importance of trust and
explainability, and the changing security practices that will make AI-powered
autonomy possible.

Read this guide

View 3: Rethink security in the age of rApps

Network security has always been a vital concern, but as networks open up and connectivity becomes an even more critical pillar of society, the approach to security will have to change.  

In this guide, we’ll uncover the factors driving this development:

How network security demands will grow and develop in the near future.
How you will need to adapt longstanding security measures.
The contribution rApps and new SMO tools can make to boosted security.

View 4: Drive innovation with openness

The openness of the rApp ecosystem makes it an ideal platform for developers and innovators from all backgrounds. Over time, the ecosystem will help overcome serious challenges and open up entirely new use cases.

In this guide, we’ll examine the potential of the open ecosystem:

How it compares to yesterday’s closed, vendor-specific automation ecosystems.
What new use cases and solutions could arise in the open ecosystem.
How operators can engage innovators to accelerate their automation efforts.

View 5: Advance to intent-driven networks

The era of manual automation processes is coming to an end, and the age of intent-driven networks is dawning. As the number of network parameters and conflicts escalates, intent-based automation will be crucial for achieving key KPIs and introducing new offerings, such as differentiated connectivity. 

In this guide, we’ll look at what the future holds and how to get ahead:

How intent-driven AI will make your network smarter and more scalable.
The operational and business advantages of introducing outcome-focused objectives.
Where to start the transition to an intent-driven network.