Asian Technology Solutions Review – Welcome to Asia Technology Solutions – we work closely with you and conduct research to understand your needs and wants.
Asian Technology Solutions was founded by IT experts and managers from a wide range of industries to build business IT solutions. ATS was established with a strong focus on areas such as IT consulting, team augmentation, HR and training to its clients with guaranteed service excellence of quality, reliable and cost-effective services to a wide range of industry such as IT, ITES, Telecom, Retail, Manufacturing, Infrastructure, BFSI and Life Sciences.
Asian Technology Solutions Review
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Dr. Gopalarao Gorumutchu is the founder and CEO of Asian Technology Solutions. He is a business process expert and SAP FICO certified professional with extensive field experience in various industry sectors such as chemicals/paints, civil, machinery, oil and gas, supply chain management, manufacturing and engineering companies. He has experience in delivering complex and large projects over a period of 18 years worldwide (USA, Australia, Singapore, Malaysia, Philippines, Vietnam, Thailand, Indonesia, China and India)
Hemantha Gorumutchu (Hema), Co-Founder and CEO of Asian Technology Solutions brings 10+ years of industry experience. She was instrumental in establishing Asian Technology Solutions (ATS) in the APAC regions. She took on the challenge of building a strong process-driven approach with a focus on Strong in technology, innovation, process re-engineering and scale-up She obtained her Bachelor of Technology (B.Tech) from JNTU, Hyderabad, Telangana, India.
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Living savings Liver efficiency Providing transformation We do the back-end work; You focus on your core skills. Effective May 1, BRINK Asia coverage will be integrated with BRINK, which will now include more regional risk and resilience coverage.
A robot greets people at the International Media Center in Ise City, Mi Prefecture, Japan. After China, Japan has the largest AI industry in Asia.
Artificial intelligence is expected to significantly boost the global economy. It is among the leading and most beautiful technologies of the last two decades. Asia stands to gain significantly, and the entire region is poised to take global leadership in the development and commercialization of artificial intelligence.
Undoubtedly, there has been global progress in recent years towards breakthroughs in the field of artificial intelligence. The relevant question at the moment is “How can artificial intelligence be developed to achieve speed and scalability?” It is a key priority for governments, academic institutions and businesses around the world.
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It is clear that there is a global push for the research, development and application of artificial intelligence across various fields. In academia, there has been a rapid increase in the publication of artificial intelligence literature. Investments in the private sector are also gaining momentum. Major technology companies are allocating significant investments to artificial intelligence, data centers and other foundational technologies. IDC estimates that global spending on cognitive systems and artificial intelligence will reach $77.6 billion by 2022, three times the $24 billion expected in 2018 – a compound annual growth rate of 37.3%.
Artificial intelligence was at the center of the solution set for the economic and social development of Asia. Furthermore, capabilities unique to the region combined with the application of artificial intelligence to specific indigenous challenges will ensure the region’s leadership in a number of artificial intelligence metrics in the coming decade.
There is a constant development of homegrown AI capabilities across Asia. Moving from abstract to practical applications, AI is being used to increase efficiency in the agricultural sector in Malaysia, traffic management in China, education in Singapore and smart city initiatives across the region. Regional governments have devoted significant resources to the development of artificial intelligence. An example highlighted by the Brookings Institution illustrates the Indian government’s initiative to increase funding for its Innovate for Digital India program in 2018 to $477 million – twice the 2017 budget. In the case of China, earlier in 2018 its government allocated more than 7 $1 billion for the development of two artificial intelligence facilities in Beijing and Tianjin.
Business leaders surveyed expressed confidence in AI possibilities in Asia. The survey also revealed that a third of respondents believed that Asia leads the world in terms of the quality of its AI assets, such as data availability, quality of R&D and government support. Nearly 50 percent see Asia as similar to other regions in terms of talent availability, quality of solution providers and ecosystem development. Additionally, According to estimates, about 60% of respondents believe that Asia will lead the way in the development of core technologies for deep learning, and more than half believe that the region will be a leader in the production of commercialized applications.
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China is undoubtedly a leader in Asia’s AI ecosystem (discussed in detail in a follow-up article), aided in no small part by its vast smartphone-connected population and its high-tech manufacturing sector, which helps set global standards. The fact that China’s AI startups attracted about half of all global venture capital in 2018 highlights the quality of their innovation and growth. Besides China, several other Asian countries are launching programs to promote indigenous artificial intelligence industries, tasked with tackling local challenges and boosting growth.
Asian economies also have an advantage in light of their ability to build regional networks and cooperation. Moreover, they are positioned as global centers for trade and are backed by rich experience in leveraging capital flows and ideas to service global demand.
After China, Japan has the largest AI industry in Asia. In March 2017, Japan’s Strategic Council for Artificial Intelligence Technology launched a plan outlining a roadmap for industrialization through artificial intelligence. The goal is to enable progress in three main priority areas: productivity; mobility; and health, medical care and welfare. A fourth area that crosses the others is information security.
Compared to China, Japan’s AI economy seems incomparably small and has yet to reach mainstream proportions. Still, IDC estimates that the value of AI applications will more than double over the next four years, to 250 billion yen ($2.3 billion) by 2021 — or about half of China’s market today.
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But one area where Japan is taking the lead is its “mechatronics” industry—a term used to describe articulated robotics, process-enhanced automated machines, and other areas of electronics. It still produces most of the most advanced articulated robots in the world – over 115,000 per year. Over 75,000 are exported annually, generating nearly $2.7 billion in revenue, which the International Federation of Robots estimates is more than 50 percent of global consumption. By the way, Japan is also the second largest consumer of robots in the world, after China. Between 2016 and 2017 there was an 18 percent increase in consumption, although its robot-to-worker density has slowed in recent years compared to South Korea and Singapore.
South Korea is an ambitious contender in the global artificial intelligence race, seeking inspiration from both China and Japan. It has set aggressive timetables and development targets, and the government is providing strong support. South Korea aims to secure a place in the world’s top four AI markets by 2022. Its government even aims to beat China’s 2030 timeline by several years. But in a similar approach to Japan’s strategy, South Korea’s AI research is prioritizing sectors already established in the country, such as robotics and process automation.
In May 2018, South Korea’s Presidential Commission for the Fourth Industrial Revolution announced plans to invest approximately $2 billion in artificial intelligence institutions. This will include the establishment of several new research institutes that will drive artificial intelligence applications
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