zhixing

JD’s AI practice proves that the value of AI does not lie in the size of parameters or the complexity of technology but in its ability to solve specific problems in real scenarios and amplify this value through an open ecosystem. Entrepreneurs need to take “scenarios as the root, data as the soul, and the ecosystem as the wings.” While deeply cultivating their own businesses, they should connect with external resources with an open mind to gain an edge in the competition in the AI era.

The launch of Taobao Flash Sale’s in – store group buying is an important step in Alibaba’s “ecosystem coordination” strategy in the local life service sector. It has created new value for merchants and users, but also faces multiple challenges such as market competition, internal coordination, and content infrastructure.

the “continuation” of TikTok’s US business is the result of a game among multiple parties. It not only reflects the resilience of global enterprises but also exposes the impact of geopolitical risks on business logic. For entrepreneurs, this incident is not only a “crisis case” but also a “risk rehearsal”. In the global competition, only by making advance arrangements and responding flexibly can opportunities be seized in the face of uncertainty.

The end – game of autonomous driving may far exceed our current imagination. However, regardless of how the technological route evolves and the ecosystem is reconstructed, “solving real needs” and “creating user value” are always the core. For entrepreneurs, instead of chasing the “ultimate say,” it is better to deeply cultivate technology and build barriers in niche scenarios and find their own space for survival and development in this decade – long competition.

Baidu’s bond issuance this time is not only a financial operation but also an epitome of its “driving strategy with capital” in the AI era. For entrepreneurs, the key is to extract the “wisdom of balancing financing strategies and strategic investment” from it – having the courage to bet on the future while also having the clarity to control risks, and moving forward steadily on the two tracks of technological change and commercial implementation.

The integration of AI applications and universities is essentially a two – way empowerment of technology and education. When the tool efficiency and academic value, market competition and user needs, technological innovation and security compliance are balanced, this “battle for AI in universities” can truly promote education technology to a more profound future.