Core Insights - The forum organized by KPMG China during the 2025 World Artificial Intelligence Conference focused on leveraging AI to drive business innovation and transformation, addressing the challenges enterprises face in adopting AI technologies [1][2] - KPMG China introduced the KPMG Velocity Platform, a new AI-driven tool designed to support enterprises throughout their transformation journey, integrating various resources and methodologies [7][10] Group 1: AI as a Strategic Driver - AI is recognized as a critical driver for industrial upgrading and high-quality economic development, with countries globally accelerating their AI strategies [2] - The Chinese government has elevated AI to a national strategic level, implementing comprehensive policies to promote orderly development in the AI sector [2] Group 2: AI Transformation Framework - AI-driven transformation is characterized by deep value creation, innovative thinking, and emotional synergy, requiring a structured approach through the stages of empowerment, integration, and evolution [3] - KPMG has accumulated numerous case studies and solutions to enhance the efficiency and sustainability of enterprise transformations [3] Group 3: Industry Applications and Challenges - AI is delivering significant benefits to enterprises, including cost reduction, enhanced data-driven decision-making, and improved analytical capabilities [4] - Many enterprises still lack clear AI strategies and implementation plans, which are essential for realizing continuous value creation [4] Group 4: Financial Services and AI - The financial services sector is undergoing rapid evolution due to AI, transitioning from a supportive tool to an advisory expert role [9] - Financial institutions need to strengthen foundational models and support industry-specific applications to find strategic advantages in the AI landscape [9] Group 5: Capital Market Dynamics - The investment landscape for AI is expected to remain consistent with 2024, with increased interest in robotics and AI software applications [8] - AI and high-tech industries are contributing new momentum to the global IPO market, with many AI companies planning IPOs for further growth [8]

Core Insights - The report by KPMG highlights that China's innovation is paving a new paradigm for generative artificial intelligence (AI) [1][2] Group 1: AI Development Pillars - The development of AI is supported by three main pillars: computing power, algorithms, and data [1] - China's policies, such as "East Data West Computing," aim to centralize computing infrastructure and public cloud capabilities to serve various industries, making AI infrastructure a public service akin to tap water [1] - The open-source foundational model, represented by DeepSeek, stands out globally in terms of capability, cost-effectiveness, and computing density, lowering the barriers for enterprises to utilize large model software [1] Group 2: Data Utilization and Dynamic Capabilities - In the era of large models, it is essential not only to accumulate data but also to deeply understand and extract business value from it [2] - The promotion of data exchange, compliance, and sharing by the government will facilitate reasonable data circulation among institutions and industries, leading to significant changes in digital China [2] - China's advantages in AI extend beyond static resources like data and market size to dynamic capabilities, characterized by efficient social collaboration and execution speed, which enhances the scalability of AI technology deployment [2]