对AI原生概念进行详细研究

Defining AI Native: A Key Enabler for Advanced Intelligent Telecom Networks

Introduction

In the realm of telecommunications, the concept of AI Native has emerged as a pivotal driver for advanced intelligent network architectures. This white paper delves into the multifaceted aspects of AI Native, aiming to provide clarity on its definition and significance within the industry.

Emergence of the AI Native Concept

Over the past decade, the landscape of artificial intelligence (AI) and machine learning (ML) has transformed significantly, particularly in the realm of ML as a subset of AI. The AI Native concept reflects the growing integration of AI across telecom systems, enhancing performance and enabling intelligent automation. Key drivers for AI adoption in telecom include improved network performance and operational efficiency, facilitated by AI-based solutions embedded in standards like 5G and 5G Advanced from the 3GPP.

AI Native Definition

AI Native refers to a comprehensive approach where AI capabilities are deeply integrated into every component of a system, from design to operation and maintenance. It involves leveraging data-driven and knowledge-based ecosystems where data and knowledge are continuously exchanged and utilized to enhance functionality, often replacing static, rule-based mechanisms with adaptive AI solutions.

AI Native in Telecom Context

In the telecom sector, AI Native signifies a system capable of autonomously integrating its own knowledge through observation, evolving strategies to achieve objectives through continuous learning. This system actively interacts with its environment, sharing and generating data/knowledge to ensure trustworthiness, fairness, and explainability, thereby fostering collaborative intelligence. The ultimate goal is to enable the autonomous network vision through federated cognitive networks and the adoption of an AI Native architecture.

Conclusion

AI Native is poised to revolutionize advanced intelligent telecom networks by embedding AI capabilities into every aspect of system functionality. By addressing the challenges of complexity, non-determinism, and data availability, AI Native systems promise to deliver enhanced performance, efficiency, and innovation in the telecommunications industry. As the role of AI grows in telecom systems, the AI Native concept offers a structured approach to planning and implementing AI integration, ensuring that every component of the network operates cohesively and intelligently.