In today's booming digital economy, data, as a new type of production factor, is becoming the core engine driving new quality productivity and will also be the strategic cornerstone of great power competition in the AI era. How to truly bring data to life, empower innovative scenarios, and stimulate industrial transformation has become a key topic that urgently needs to be explored.

Data governance is a prerequisite, quality determines value

Data and software, like blood and body, complement each other. As early as 1999, Eric Raymond, a leader of the open source movement in the United States, pointed out that "good data structures paired with bad code are far better than bad data structures paired with good code." This viewpoint is even more profound in the current explosive development of AI - high-quality datasets directly determine the effectiveness of intelligent applications.

Currently, more and more enterprises regard data governance as the fundamental project of digital transformation, clearing obstacles to data flow through data inventory, asset management, and standardization. Just as outdated old currency, counterfeit currency lacking authenticity, and incomplete scrap currency are difficult to circulate, untimely, inaccurate, and incomplete data cannot support business appreciation and innovation. The standardization of data governance is the "first kilometer" of releasing the value of data.

IT Department Role Reshaping: From Operations to Business Insight Engine

In the era of informatization, enterprises often fall into the dilemma of "where will IT go after the completion of system construction". The digital age provides a new answer: IT departments need to shift from technical support to business empowerment. For example, by analyzing procurement data to identify process anomalies or relying on ERP logs to warn of operational risks, IT departments are becoming the "digital senses" of enterprise management, using data insights to manage blind spots and propose optimization suggestions.

This transformation prompts enterprises to rethink the positioning of IT - it is not only a system maintainer, but also a "strategic advisor" for preventing risks and improving efficiency through data flow. Data flows like an extended 'sixth sense', helping humans to more comprehensively examine business logic and stimulate deep insights.

Everyone can see: Data democratization drives social innovation

In the past, writing books and software development were the privilege of a few people, but today, ordinary people record their lives through self media, and non-technical personnel can also use tools to build applications. It is not uncommon for a traditional industry engineer to independently develop a professional system and save millions of yuan in costs. The flow of data and the popularization of open source technology are breaking down capacity barriers, making it possible for everyone to have insights and innovate everywhere.

When the Internet eliminates information barriers and agents integrate multi-source data, society has entered a new stage of "digital intelligence integration". Proactively utilizing the power of data flow and embracing the open source ecosystem will be the only way to deepen innovation scenarios and empower various industries. Keywords: social commentary

Once data flows, insights naturally occur. In this competition centered around data, whoever can more efficiently activate the value of elements will be able to seize the opportunity in the wave of the AI era.Editor/Yang Meiling