华为迈向智能世界白皮书2023：数据通信-45页_3mb

Data Communication Network and AI Integration White Paper Summary 2023

Overview

AI is reshaping industries, with an expected industry penetration rate increasing from 7% in 2021 to 30% by 2026 and over 50% by 2030. This drives network innovations for flexibility, security, and efficiency.

Major Trends

• Multi-Cloud Adoption: Businesses increasingly use multi-cloud strategies for cost savings, data security, and technical flexibility, necessitating elastic, reliable, and visible network infrastructures. By 2025, most industries are migrating to distributed multi-cloud architectures, with operators innovating through cloud aggregation and network slicing.
• AI-Driven Network Transformation: AI models require massive computational power, leading to network upgrades like 400G Ethernet and the development of zero-loss, high-throughput data center networks. Techniques such as network load balancing and intelligent traffic management enhance AI training efficiency.
• Cybersecurity Evolutions: The shift to cloud-based work introduces new risks, with ransomware attacks becoming common. Integrated security approaches, such as SASE (Secure Access Service Edge) and cloud-based security services, offer comprehensive defense mechanisms, supported by AI for threat detection and response.

Key Recommendations

• Businesses should prioritize elastic and intelligent networks to support digital transformation.
• Invest in network technologies like 400G Ethernet and AI-driven solutions for improved performance.
• Adopt multi-cloud and service-oriented networking to reduce costs and enhance agility.
• Utilize cloud-based security services and AI for proactive threat management to mitigate cyber risks.

Conclusion

AI and data communication networks are mutually reinforcing, enabling intelligent systems that support business growth while addressing challenges like security and scalability through scalable, innovative solutions.