AISWare ReTiNA is an intelligent analysis platform for operator network domains, based on communication artificial intelligence and machine learning algorithm engines. It provides operators with intelligent and automated support for the entire lifecycle of wireless network planning, construction, optimization, and maintenance. It helps operators improve network quality and user perception, build autonomous networks, and facilitate digital transformation.
Expanded scenario applications, including site selection planning, quality optimization, complaint handling, and scene assurance, are supported by multi-scenario intelligent capabilities.
Driven by value and perception-oriented, it provides the whole life cycle management ability of wireless network planning, construction, optimization and maintenance.
Leveraging AI to construct professional wireless algorithm models, we combine the capabilities of large models to create a fusion of large and small wireless intelligence entities.
Artificial intelligence and large models create AI+ wireless intelligent entities to achieve a self-intelligent network closed loop of perception, analysis, decision-making, and execution.
Layered decoupling architecture, support for cross-system integration and docking, adaptation to multi-vendor network environments, insight into the network from a neutral perspective.
Full domain data linkage, global insight into network and business domains, achieve value-driven, perception-oriented network quality improvement.
An operator's provincial company network optimization self-intelligence platform collects and processes data uniformly to build a wireless data warehouse. It uses AI+ and large model technologies to intelligently identify, locate root causes, produce solutions, and evaluate the effects of wireless network problems. By adopting a "Q&A" mode, it supports frontline complaint handling, fault operation and maintenance, network optimization, and other tasks, thereby improving work efficiency.
An operator's group-level digital operation platform, with GIS as its foundation and work order management as the approach, builds professional capabilities such as health assessment, low perception analysis, accurate planning, scenario insight, complaint warning, network excavation, and mobile-fixed mutual promotion. It provides intelligent service capabilities for the group and provincial companies to enhance network quality and user perception.
An operator's group-level smart energy-saving system, based on an AI energy efficiency assessment model, comprehensively considers network performance, user perception, weather changes, holiday characteristics, and other information to intelligently generate energy-saving plans. It automatically executes sleep or wake-up commands through the instruction module, achieving full process automation and closed-loop of base station energy saving.
Tel:(010)82166688
Fax:(010)82166699
Business Cooperation:marketing@asiainfo.com
Complaints mailbox:AI_AC@asiainfo.com
Tel:(010)82166688
Fax:(010)82166699
Business Cooperation:marketing@asiainfo.com
Complaints mailbox:AI_AC@asiainfo.com
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