AI Revolution: Transforming Business Paradigms with Data-Driven Intelligence

As businesses navigate a rapidly evolving landscape, AI emerges as a key transformative force reshaping commercial paradigms and driving digital-intelligent transformation. Xu Shaochun, Chairman and CEO of Kingdee Group, emphasizes that this shift is not merely an enhancement but a comprehensive management revolution unlocking immense potential. The journey toward a digital-intelligent ecosystem is complex and ongoing, requiring strategic applications and well-defined objectives tailored to each enterprise’s unique needs.

Artificial intelligence offers businesses opportunities for transformation across user experience, process orchestration, and decision-making. Zhao Yanxi, Executive Vice President of Kingdee China, highlights three paradigms of change brought by AI: adaptive user experiences, autonomous process orchestration, and embedded decision intelligence. These advancements facilitate a seamless transition from experience-based to data-driven decision-making, allowing businesses to optimize operations and enhance service delivery.

In this age of digital intelligence, data has become one of the most invaluable assets for companies. An effective data governance system is crucial for ensuring data quality and security while enhancing responsiveness to market trends and customer needs. Peng Huagang, a leader in enterprise reform and development, insists on understanding the importance of data as the foundation of AI transformation, urging companies to integrate AI capabilities that solve practical challenges through scenario-driven solutions.

Huawei’s Tao Jingwen emphasizes that successful digital transformation hinges on strategy, foundation, and intelligence. For AI to deliver tangible results, it must address real-world problems, acting as a strategic tool rather than a superficial add-on. This pragmatic approach underscores the importance of high-quality data in maximizing AI’s utility, suggesting that the future is shaped by the capability to harness and interpret data effectively.