The recent study by Hitachi Vantara has revealed that Asia is leading the world in the adoption of AI, although the problems of quality and data security can hinder sustained progress.
The survey on the infrastructure of the state of the data of Hitachi Vantara, which included the responses of 1,200 world participants, highlights key results such as 42% of Asian organizations concerning AI as critic, exceeding the average global 37%. China and Singapore, in particular, show high levels of large -scale AI integration at 53% and 57% respectively.
However, despite this progress, Asian companies are faced with challenges with the implementation of AI due to incomplete fundamental data structures. The survey indicates that the accuracy of AI models is on average 32% and that only 30% of the data is structured, which suggests that many AI systems operate on “disorderly” data.
In addition to data quality, climbing data storage demand adds complexity, with a 123% increase in requirements in the next two years. Security is an additional concern in Asia, 44% of respondents who cite it as a higher problem, compared to the global average of 38%. This anxiety is particularly pronounced in India and Indonesia.
Despite these obstacles, the emphasis is placed on the development of expertise in AI. Research reveals that 71% of Asian companies recruit qualified IA personnel, and 68% engage with external experts in AI, both above world averages. On the other hand, Malaysia shows a higher inclination to the self-teaching of AI skills.
The success of the adoption of AI through Asia seems to rely on high -quality data, strategic partnerships with AI providers and robust governance executives. In fact, 40% of successful adopters in Asia AI attribute their achievements to high -quality data, and 39% consider partnerships with essential external specialists.
Adrian Johnson, main vice-president and director general of the Americas and Asia-Pacific to Hitachi Vantara, said: “The rapid adoption of Asia AI is not a promise; it is a reality .
It is advisable to focus on current forces, Asian organizations are advised to improve the structuring, availability and data security to maintain AI momentum. This approach should allow more precise AI models and align projects with global standards and regulatory requests.
In addition, the survey highlights the need for third -party support among IT leaders in Asia. Assistance is particularly necessary in fields such as hardware, data storage, processing solutions and software development to ensure that AI models are effective, secure and sustainable.
“By aligning AI expansion on data integrity and strategic investments in resources, Asian companies can fully capitalize on their early advance,” added Johnson. “This focus on fundamental data elements, as well as strategic partnerships and efficient governance, can guarantee that AI initiatives offer a really transformative and sustainable value.”