关于生成式AI，这三个问题很关键

Core Insights - The rise of generative AI is reshaping industries, presenting unprecedented opportunities for technological innovation, process automation, and customer interaction experiences [1] - A report by Akamai Technologies and IDC indicates that 79% of surveyed enterprises believe generative AI will have a disruptive impact on their business within the next 18 months, with 37% already deploying it in production environments and 61% in testing and proof-of-concept stages [1] Group 1: Edge Services vs. Traditional Cloud Services - By 2027, 80% of CIOs are expected to adopt edge services to replace traditional cloud services, driven by the need for real-time performance and faster response times in AI applications [2] - Edge services, a distributed computing model, move computing, storage, and networking functions closer to the user, reducing data transmission distances and latency [2] - In scenarios like smart driving, edge services ensure quick data processing and response, enhancing safety by handling large volumes of sensor data in real-time [2] Group 2: Opportunities and Challenges in China - Key edge applications driving generative AI deployment include generative AI itself, predictive AI for business forecasting, and video editing/processing [4] - Chinese enterprises face unique opportunities with edge computing, enabling them to provide competitive AI applications globally, leveraging local innovation capabilities [4] - Challenges include compliance and data privacy issues, particularly with generative AI involving personal data, necessitating adherence to local laws and regulations [5] Group 3: Global Competitive Advantage through Edge Services - Among Chinese enterprises adopting generative AI, 96% utilize public cloud IaaS for training and inference workloads, surpassing the average in the Asia-Pacific region [7] - Edge computing supports Chinese companies in enhancing their global competitiveness by providing low-latency, high-reliability services in overseas markets [7] - The complexity of managing multi-cloud environments poses a challenge for 49% of enterprises, particularly in the context of rapid generative AI development [6][8] Group 4: Strategic Necessity of Edge Services - The rapid development of generative AI is transforming edge services from an auxiliary option to a strategic necessity for enterprises [8] - Companies must focus on achieving seamless data transfer and network connectivity across multi-cloud environments to leverage the benefits of generative AI and edge computing [8] - The goal for Chinese enterprises in their global expansion is shifting from merely cost advantages to establishing competitive barriers in intelligent experiences and service real-time capabilities [8]