GIO is an open and collaborative communication platform that aims to promote the exchange of ideas and industry progress. The data-centric theme of the 15th GIO Roundtable has been opportune, given that data flow, application, and value creation have all become hot topics in many industries. This is especially true in terms of cross-country and cross-industry data flows and the standardization of data interconnection and interoperation. Today, the shortage of high-value, industry-specific data has become a major challenge to foundation models. Over the next two to three years, we must keep thinking about how to contribute high-value data, enable data flows, and apply such data in each industry to drive industry progress. The GIO serves as the ideal platform for our work in this regard.

China’s data-spaces industry has a promising future. Data spaces are the bedrock for building high-quality datasets and foundation models in industries. Therefore, the construction of open, inclusive, interconnected, and interoperable data spaces will accelerate the process of market-based data operations and value creation, promote an international consensus on data spaces, and lay the groundwork for global data collaboration.

The European Strategy for data is basically the framework of action which is the current one and is also probably guiding the way for the future in Europe. Data spaces are an essential tool in the implementation of this. The European Union focuses on not only putting a legal, regulatory framework into place but also facilitating thriving innovation from data. To seize and capture the value of the data, we need to put into place an infrastructure that allows us to share the data and jointly use it in a trustworthy environment. It has been said that “Data Travels at the Speed of Trust”.

As a transformative technology, AI will impact basically the way we live, the way we work, and the way we bring efficiency to our industries. AI standards are necessary. AI is present in many technical committees in ETSI, such as TC SAI, TC INT, TC eHealth and TC MTS. Data is the lifeblood of AI. Building upon the data networks that lasted for decades, ETSI kicked off TC Data in January 2025, to look at specific problems, approaches, and technologies related to data and that are relevant to data. We will have a lot of collaborative initiatives with the open source to progress in this sphere.

According to research conducted by AIIA, industry participants already have considerable facilitating conditions in place to can help overcome data shortages. For example, they can activate data that is currently idle, develop synthetic data, and promote precise data labeling. AIIA has set up both a dedicated data committee and a data labeling committee. The core purpose of this is to create synergy in the industry, work with governmental and academic institutions, and promote data supply from different perspectives. We also hope to work more closely with Chinese enterprises through the GIO, and extend our efforts beyond Asia to work with European enterprises and develop high-quality datasets to support the development of the AI industry.

The automotive industry is currently undergoing a critical period of digital and intelligent transformation. The digital and intelligent evolution of carmakers, intelligent transformation of vehicles, and assetization of data are all gaining speed. As a third-party organization, CATARC established the Intelligent Connected New Energy Vehicle Data Industry Alliance under the authorization of the Ministry of Industry and Information Technology (MIIT) last year. This alliance has activated local platforms in major provinces and cities in China as well as major automakers in the industry, hoping to promote industry data sharing and data value mining. From the perspective of cross-border data transfer, different countries have different laws and regulations. We hope to establish an open organization similar to the GIO. We also welcome more multinational or EU enterprises to join us in building a trusted data space recognized by all parties, and discussing how to better share and collaborate on data internationally in terms of intelligent connected vehicles and new energy vehicles.

IDSA is the only international organization about data spaces. Using usage conditions to data sets, enabling data lineage, sharing data and computing data with one framework between countries and domains is our ambition. The challenge ahead is to find the smallest common denominator, one mechanism to share data between all these different economic areas.

International Manufacturing-X (IM-X) works jointly to foster that only aligned industry standards for international industrial data exchange are used. This ensures international interoperability and trustworthiness. IM-X approaches this in a federated manner.

AI has arrived at the healthcare setting to offer a helping hand to physicians who often suffer from burnout. Accumulating evidence suggests that implementing AI tools might result in more accurate, efficient, and cost-effective care. Strong regulatory oversight of AI in healthcare is necessary, to ensure data accuracy, transparency, and explainability, and that only safe and effective AI technologies are used, which can be trusted by physicians and patients.

In the Eclipse Data Space Working Group, the technical specifications that are being worked on are being done in an open, transparent, and royalty free manner. We have enough standards to unlock data value across regions and industries and what we need to do is to build the business model. The business models are always an evolutionary approach and we’re not gonna figure out the them until we fail a bunch of times.