Credit: Huawei If last year’s Huawei Industrial Digital and Intelligent Transformation Summit was about exploring the opportunities and challenges of industrial intelligent transformation, the 2025 edition was about how rapid AI development has changed the landscape. Expectations for AI continue to rise as we move the spotlight from AI application at scale to accelerating towards Artificial General Intelligence (AGI). In 2025, this will manifest in the form of agentic AI, with hopes that it will take GenAI from answers to action. The threshold for AI application is also gradually decreasing. AI’s groundbreaking progress has reshaped the AI landscape in three ways. First, it has shifted industry focus, from merely increasing computing power to optimizing its use. It also underscores how the scale of AI models is no longer the sole factor determining intelligence. Lastly, open-source AI models are simply becoming more competitive. The true measure of AI’s value lies in its ability to enhance productivity across industries, and drive a new wave of social and economic development. Key challenges in digital and intelligent transformation To further drive industrial intelligent transformation, we must answer several key questions. How can we fully integrate advanced intelligent technologies into industry-specific scenarios? For example, […]