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APAC Region and Its Current Position as An AI HubBy CIOAdvisor Apac | Wednesday, September 04, 2019
The Asia Pacific region is currently capable of learning unbelievably quickly and adapt even faster to the continually altering social trends and professional opportunities that are available. Artificial intelligence and machine learning have evolved to be a crucial trend in the Asian continent.
FREMONT, CA: Enterprises plying in the APAC region are far ahead in constructively utilizing AI technology for arriving at business improvements. About 35 percent of companies have reported that through high-end AI, They have been able to record significant value for their business. This trend is sure to continue in the future as well.
This is quite an impressive number, as the same statistics stands at about 14 percent in North America, whereas in the EMEA region would be able to show about 7 percent of business growth through AI, as per a study by Protiviti, a global consulting enterprise.
The study further points out that businesses based in the APAC region are way ahead of or at least on par with the rest of the world. About 22 percent of enterprises plying in the region are at sophisticated stages concerning machine learning. Again, on comparison with the other regions such as North America and Europe, the numbers are just 11 percent and 7 percent respectively.
Currently, though the APAC is at a better position in gaining tangible value through the incorporation of advanced AI, there is still room for development. Within a period of two years, this number is expected to be more than double.
The Immediate Future
APAC is expected to become one among the leading areas worldwide for AI within the next ten years or so.
Also, considering the fact that the APAC region comprises more than half of the global population, AI has a major role to play here. In turn, AI incorporation in the area will have an impact on global business and technology trends as well.
Among the countries, China has already proved itself as a prominent player in the AI landscape. The nation has already made public its attempts toward making China an international leader in the field of AI by the year 2030.
Besides China, other countries in the region, including Taiwan, India, Korea, Singapore, and Japan have announced their artificial intelligence approach and strategies. These countries are focusing on their areas of strength, whether it is software, services, or hardware. Indonesia and Vietnam are still at the initial stages, as just a quarter of enterprises are actively using AI.
AI is expected to permeate almost all of the industries in the future. Currently, the primary sectors that are encouraging for AI integration in the APAC arena include education, agriculture, and health care. The emergence of these sectors as the most potential hub for artificial intelligence is partly because, AI, when integrated into these sectors can extend its advantages to all.
Moreover, AI will continue to influence conventional industries, including advertising, retail, business services, telecommunications, and others in the area.
The technology is being increasingly used for providing an innovative approach for customers with novel business models, services, and products. Through innovation powered by AI, it is possible to create new supply chains and market ecosystems.
Also, the public sector will be yet another decisive area for AI innovation as the APAC region consists of one of the biggest concentrations concerning smart cities, wherein ongoing urbanization facilitates exceptional challenges besides opportunities for arriving at new efficiencies.
Machine learning will be the most commonly deployed AI tool, followed by automated reasoning, natural language processing, and robotic process automation. In the immediate future, image recognition coupled with reinforcement learning will be the highest growing fields of AI.
A drastic scarcity of internal talent ranks as APAC's biggest and most evident obstacle in effectively deploying AI across sectors. What makes it worse is that filling the gap fails to be easy as professionals with expertise in artificial intelligence are less and in very high demand. Further, there is no surety regarding their long-term deployment. Additionally, the costs involved in the AI deployment can be way too beyond expectation.