It is well known that artificial intelligence technologies today are useful not only to apply, but also to study in terms of their scaling, the specifics of implementation in different regions and spheres, as well as in the context of the peculiarities of their impact on business, depending on the characteristics and culture of each individual state. In fact, research into how and where all these aspects are reflected is not only informative, but also extremely useful for understanding a certain state of affairs in an innovative environment and gaining some experience. Consider one of them.
Features of AI in the Asia-Pacific region
In this case, the experts paid special attention to Hong Kong (an autonomous city in China). In a joint study called Future Ready Business: Assessing Asia's Growth Potential Through AI, Microsoft and IDC Asia / Pacific surveyed 1605 business leaders and 1585 workers in 15 markets in Asia Pacific, including 100 business leaders directly and 101 Desktop in Hong Kong.
The study evaluated six aspects that are critical to ensuring the success of a state-owned program for the deployment and scaling of AI technologies, including Big data, strategies, investments, culture, infrastructure and overall capabilities.
It has emerged that Hong Kong alone is ahead of the entire Asia-Pacific region in terms of investment and data development, but significantly behind in terms of culture. And in this aspect, experts recommend to focus, as it may be one of the most significant in the case of complex projects on the integration of AI.
Thus, a large number of Hong Kong business leaders, as well as the majority of surveyed employees in various businesses, believe that a culture of innovation, built more on the study and prevention of their potential risks, is less important than the culture of their use in practice, regardless of side effects. ».
The survey also found that while companies are willing to invest in human capital to develop AI skills, most of the companies surveyed did not have specific strategies for doing so. 49% only had the appropriate plans, but they were not fully implemented, 24% did not have them at all, and only 3% developed and implemented such plans. Against this background, experts believe that Hong Kong is not yet ready for the integrated and "cultural" implementation of artificial intelligence, as this requires more training and exploration of its capabilities.
Management of any organization should not only make integration of AI into business processes a core part of its strategy, but also carefully study its foundation and develop a culture of flexibility to work with him at the most professional level. This requires investment not only in the technology itself but also in the relevant research.
Microsoft and IDC Asia / Pacific survey also found that 74% of survey respondents agreed that AI is important in competitiveness of their organizations, and 40% of Hong Kong organizations are already using it fully, expecting it to increase their competitiveness in XNUM times before 2,6year.
5 are major business drivers that can improve AI
According to a study by Microsoft and IDC Asia / Pacific, for most companies of different levels and areas of activity, they were as follows:
- higher margin (30% of respondents named it number one driver);
- more competitive (28%);
- accelerated growth in innovation (13%);
- more productive employees (13%);
- advanced business intelligence (8%).
It should be noted here that last year, organizations that implemented AI in the region saw significant improvements in each of these items, ranging from 13% to 14%. In the future, the respondents forecast a minimum increase of 2,2 times over a three-year period, with the main focus being on improving competitiveness and progress in business intelligence.
In general, it is expected that by the 2021 year artificial intelligence will increase the scale of innovation and productivity only in Hong Kong more than twice, as already today almost every other company positions itself as a developer of unique software.
However, experts recall that for successful implementation and development of AI technology, it is not enough to simply produce innovations - organizations must master the best in their technology and refine them to enable others to use them without risk to themselves.