Prepare for Generative AI in Network Operations

In this report, Gartner® analyses what can enterprises really gain by using GenAI as part of the network operations

7 August 2024

Carretera-de-noche-en-la-ciudad-en-movimiento-Road-in-the-city-in-motion-at-night

Madrid, 7 August 2024.- The arrival of Generative Artificial Intelligence (AI) has been a turning point at all levels, not only because of the possibilities it offers but also because of its mass accessibility. There are several factors to consider when adopting generative AI for the enterprise. The capabilities that Gen AI brings to products follow the pace set by the maturity of the foundational models that enable them. As time goes on, the models will be able to respond more accurately to expert vertical contexts, and the synergies with traditional analytical AI and automation will increase, unlocking their full potential.

In network operations and according to Gartner: “GenAI, which is part of AI networking, has taken his hype to a new level with the potential to transform network operation. However, with its conversational interface and ongoing learning capabilities, GenAI will likely be met with both favor and distrust. But what can enterprises really gain by using GenAI as part of the network operations? This research covers new GenAI capabilities for network operations, business case considerations and ways to build trust to minimize adoption risk”.

The adoption of Gen AI by the industry is expected to be massive, with some sectors being early adopters and others following suit. Internal use of Gen AI has a significant impact on providing efficiencies for companies. Gartner estimates that: “By 2026, generative artificial intelligence (GenAI) technology will account for 20% of initial network configuration, which is an increase from near zero in 2023”.

READ GARTNER REPORT

Gartner, Prepare for Generativa AI in Network Operation, 2024. Jonathan Forest and Andrew Lerner. 19 March 2024.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Telefonica.

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