While generative AI is touted as a revolutionary technology, many companies face the same dilemma when implementing it: "The model is powerful, but the data fed into it is a mess." To address this pain point, Athemaster, a Taiwanese data & AI system integrator, announced the official establishment of the Taiwan Data Management Association (TDAMA), founded by founder Liang-Hsiu Yen and 33 data experts. TDAMA aims to assist Taiwanese industries in building a verifiable and operational data infrastructure.
By adopting the international standard DMBOK, we can enable everyone to speak "the same language".
TDAMA's primary mission is to address the chaotic situation of Taiwanese companies operating independently in data governance. The association announced that it will align itself with the internationally renowned DAMA (Data Management Association) and its DMBOK (Data Management Body of Knowledge) knowledge system.
Inaugural Chairman Yen Liang-hsiu pointed out that data governance is the cornerstone of AI applications. In the past, there were differing definitions of "high-quality data," leading to extremely high communication costs. TDAMA hopes to promote a unified data management approach and certification, enabling organizations to share a common language, ensuring that data can be trusted, reused, and compliant, thereby accelerating the commercialization of AI's value.
Industry, government, and academia unite to target the issue of "sovereign AI".
The association boasts a prestigious lineup, with its inaugural board members spanning seven major sectors, including academia, finance, retail, high-tech manufacturing, software, and consulting. In addition to promoting technology, the association, inspired by Professor Tai Hao-Chun of Shih Hsin University and Professor Wan Yu-Yun of National Chengchi University during its preparatory phase, has incorporated "sovereign AI" and "data philanthropy" into its core principles.
This means that TDAMA is not just a technology exchange platform, but will also explore how to establish a data governance model that conforms to national interests and social welfare within the framework of local Taiwanese laws (such as the Personal Data Protection Act and the AI Basic Act).
The list of the first board of directors and supervisors is impressive.
The inaugural board of directors and supervisors of TDAMA were also announced, with Yan Liangxiu appointed as chairman. Standing directors include Liao Likuan, CEO of Linear Growth Digital, and Jian Hongwei, former director of the National Information and Communications Security Technical Service Center, among others. Guo Lixin will serve as the standing supervisor. Furthermore, AsiaAnalytics was among the first to become a group member during the recruitment phase, demonstrating the industry's high regard for this issue.
Analysis: The "Sewerage Project" of the AI Era Has Finally Been Done
In my opinion, Taiwan has historically held a world-class position in hardware manufacturing (such as AI servers and chips), but has long been relatively neglected in the area of software "data governance." This is like building a magnificent skyscraper on the outside, but failing to properly connect the underground water and electricity pipes.
While the establishment of TDAMA may not sound particularly "glamorous," and its work resembles the arduous task of "sewage engineering," it is crucial for Taiwan's AI industry to shift from "OEM" to "application." Without unified standards and high-quality data flow, even the most powerful GPUs cannot calculate the correct answers. By aligning with the international standard DMBOK, TDAMA hopes to prevent Taiwanese companies from being hampered by "dirty data" when embracing AI.
