Accomplice Article
Huawei unveils AI-native framework and new technology options to allow all intelligence
The communications trade is coming into a brand new section of transformation, as operators transfer past fundamental automation in the direction of constructing clever networks. Rising community complexity, surging information site visitors and the fast adoption of Synthetic Intelligence (AI) throughout enterprises and shopper use instances are exposing the constraints of conventional operations fashions, which stay largely reactive and fragmented.
At the not too long ago concluded MWC Barcelona 2026, Huawei outlined its imaginative and prescient for this shift, unveiling what it describes because the trade’s first AI-native framework for clever operations, alongside a brand new suite of options designed to speed up the transition. The announcement is consistent with a broader trade development, the place telecom operators are more and more seeking to leverage AI throughout all the community lifecycle, from Operations and Upkeep (O&M) to buyer engagement and monetisation.
In line with Capgemini, telcos have, on common, achieved a 20% enchancment in operational effectivity and 18% discount in operational expense via autonomous networks over a interval of two years. Whereas telcos are more and more utilizing AI to automate networks, the rise of AI-powered instruments and functions is inserting new calls for on community efficiency and reliability.
President of Huawei’s International Technical Service, Bruce Xun, introduced the launch of three options, Agentic BSS, SmartCare Intelligence and AUTINOps, which he believes will “guarantee a seamless evolution whereas establishing new paradigms, creating new worth, and reaching an enormous leap in intelligence.” He was talking in a session on Agentic Providers and Software program Allow All Intelligence.
These options are based mostly on an AI-native framework, which is “designed to speed up the transition of AI improvements into actual manufacturing, creating tangible new worth,” mentioned Xun.
This framework is constructed on three core pillars. To start with, it targets operational and enterprise challenges that legacy options have didn’t resolve. Secondly, it leverages digital twins and telecom-domain fashions to allow optimum options. Thirdly, the framework reinvents workflows and expertise improvement to make sure a seamless collaboration between human consultants and digital staff.
A key problem for service suppliers as we speak is that conventional operations fashions stay largely reactive. The tariff design and launch course of is gradual, and might not meet buyer wants or successfully suggest the appropriate merchandise on the proper time.
On this context, Agentic BSS focuses on remodeling enterprise operations by introducing AI brokers that may interpret buyer intent, design new choices and optimise buyer engagement. By enabling collaboration between a number of brokers, service suppliers can considerably cut back time-to-market and ship extra personalised companies.
“The important thing to clever operations lies in our means to anticipate buyer intent and establish unmet wants,” mentioned Xun. This shift in the direction of intent-driven operations is especially related as operators broaden into enterprise companies and digital ecosystems, the place responsiveness and customisation are crucial.
Huawei obtained a Silver award within the Whole Expertise class for its collaboration with a Chinese language operator, the place AI-driven account administration brokers had been launched. These digital assistants improved response instances, lowered enterprise processing time by 30%, and enhanced enterprise buyer engagement.
Reimagining community optimization
Whereas enterprise transformation is one side, community operations stay central to the AI-native imaginative and prescient. SmartCare Intelligence, one other answer launched by Huawei, is designed to maneuver community optimisation from a reactive to a predictive mannequin. By leveraging massive AI fashions, together with Person Expertise Massive Mannequin (UELM) and Beam Area Massive Mannequin (BSLM), the system can analyse community information in actual time, simulate potential situations and generate optimum changes. This strategy ensures that the networks are all the time tuned to ship optimum efficiency. That is vital as a result of service suppliers are battling rising community complexity. AI-driven methods can assist them present constant service high quality.
In the direction of predictive and preventive operations
The third pillar of Huawei’s portfolio, AUTINOps, focuses on Operations and Upkeep (O&M), introducing a predictive strategy to community reliability.
Conventional O&M fashions typically reply to faults after they happen, resulting in service disruptions and longer restoration instances. AUTINOps addresses this by figuring out potential dangers prematurely and taking preventive motion. It makes use of a cross-domain digital twin community and EDNS 2.0 mannequin to monitor networks in actual time, detect dangers and set off restoration actions. It combines proactive danger mitigation (T-1) with fast fault restoration (T0) to make sure “twin safety,” resulting in excessive uptime and community reliability.
Huawei’s strategy is starting to see validation in real-world deployments. On the World Communication Awards (WCA), the corporate obtained a Silver award for Greatest Digital Transformation Programme for its work with a Center Japanese operator, the place it applied an AI-driven O&M system specializing in fault administration and useful resource topology optimization. Primarily based on the AUTIN platform, the answer enabled over 95% topology visibility throughout VoWiFi entry factors, LTE anchor factors and IMS core community parts. It delivered measurable enhancements, together with service availability exceeding 99.5%, a 40% discount in name drop charges, and vital positive factors in fault detection and restore instances.
Xun emphasised the significance of sturdy connectivity, with out which AI stays an info silo. He urged the trade leaders to standardize definitions and specs of AI native parts, collectively design new enterprise and transaction fashions and to share greatest practices to simplify community operations whereas making certain improved efficiency.