The Special Training Session on Industrial Data Valorization and High-Quality Digital Economy Development 2025 Held

Recently, the Special Training Session on Industrial Data Valorization and High-Quality Digital Economy Development 2025 was held.The primary objective of this training session was to enhance enterprises' awareness and capabilities in data governance and data application.Over 90 participants, including senior executives, chief data officers, and heads of digitalization-related departments from key digital economy enterprises in our city, attended the training session.Tu Jiong, Deputy Director and a member of the Party Group of the Ningbo Municipal Economic and Information Technology Bureau, attended the opening ceremony and delivered a speech.

In her speech, Tu Jiong emphasized three key points:First, it is essential to elevate perspectives and deeply understand the significance of advancing industrial data valorization from multiple dimensions, such as strengthening the foundation of digital economy development, accelerating industrial transformation and upgrading, and helping enterprises reduce costs, improve quality, and enhance efficiency.Second, enterprises should boldly explore and pioneer initiatives in key areas like high-quality datasets, data application scenarios, and trusted data spaces, actively creating new models and pathways for data-driven enterprise innovation and development.Third, enterprises should seize this opportunity to address practical challenges they face, study earnestly, think deeply, and strive to arrive with questions and leave with solutions. They are also supposed to learn from and collaborate with other enterprises to explore potential partnership opportunities.

The training session invited experts and scholars from the China Academy of Information and Communications Technology (CAICT), the Department of Economy and Information Technology of Zhejiang, the Zhejiang University, and relevant enterprises.They delivered lectures on topics such as high-quality dataset construction, data value mining, trusted data space development, data asset accounting, data intellectual property, and data security, etc.The training combined theoretical explanations, policy interpretations, technical analyses, and case studies, receiving widespread praise from participants.