Core Insights - The article discusses the challenges enterprises face in digital transformation amidst rapid AI technology adoption, emphasizing the shift from "whether to transform" to "how, when, and if they can transform" [1][4] - It highlights the structural mismatch between the disruptive nature of technological iterations and the gradual development of enterprises, leading to a complex set of challenges [2][4] Group 1: Challenges in Digital Transformation - Enterprises are experiencing a fundamental contradiction between rapid technological advancements and their gradual IT architecture evolution, resulting in compounded challenges [2] - The conflict between IT departments and business units is intensifying, as business diversification demands high flexibility from IT systems, while IT teams prioritize stability and simplified management [4] - Three core challenges are identified: compatibility with historical investments while embracing AI innovation, simplifying management while supporting business diversification, and ensuring system stability while enabling rapid iteration [4] Group 2: Proposed Solutions - Qingyun Technology proposes a "gradual innovation" approach with the launch of the AI Infra 3.0 architecture, focusing on "restructuring and unifying" to bridge the gap between historical and future needs [4][5] - The AI Infra 3.0 architecture consists of four layers, including a foundational operating system, a unified scheduling layer, a capabilities layer covering various technologies, and an open layer for ecosystem customization [5] - The architecture aims to provide full-stack capabilities, on-demand expansion, standardized delivery, and evolution, allowing enterprises to introduce AI capabilities in a phased manner without overhauling existing systems [5] Group 3: The Role of AI Infrastructure - The role of AI infrastructure is evolving from a mere tool to a foundational strategy for enterprises, with a focus on effectively utilizing AI models rather than merely selecting the best ones [6] - AI Infra 3.0 is positioned as a pathway for enterprises to connect with the AI era, built on over a decade of technological accumulation and deep insights into customer needs and industry trends [6] - The article reflects the sentiment of many enterprises that are cautious about AI transformation, fearing the loss of past investments while trying to seize future opportunities [6]