The rate of progress and development in artificial intelligence has been intermittent and unpredictable. There have been significant advances in technology since its inception. It is an overarching concept that entails multiple disciplines and is transforming every walk of life. Organizations are already implementing AI for numerous business applications. If deployed effectively, the technology provides real-time data gathering, forecasting, and trend analysis for delivering greater insight.

Based on our interactions and the results of this study, we expect to see organizations not only adopt AI – but scale it across their enterprises, by building/developing their own AI, or putting ready-made AI applications to work. For example, according to the survey, 40% of respondents currently deploying AI said they are developing proof-of-concepts for specific AI-based or AI-assisted projects, and 40% are using pre-built AI applications, such as chatbots and virtual agents. I see the excitement building with clients every day. Consider just a couple of recent examples. Legal software developer LegalMation has leveraged IBM Watson and our natural language processing technology to help attorneys automate some of the most mundane litigation tasks, speeding, for example, the written discovery process from multiple hours to a few minutes.

Inside you'll learn about the major market drivers and barriers, technologies, key players, and forecasts related to eight telecom AI use cases:

Based on our interactions and the results of this study, we expect to see organizations not only adopt AI – but scale it across their enterprises, by building/developing their own AI, or putting ready-made AI applications to work. For example, according to the survey, 40% of respondents currently deploying AI said they are developing proof-of-concepts for specific AI-based or AI-assisted projects, and 40% are using pre-built AI applications, such as chatbots and virtual agents. I see the excitement building with clients every day. Consider just a couple of recent examples. Legal software developer LegalMation has leveraged IBM Watson and our natural language processing technology to help attorneys automate some of the most mundane litigation tasks, speeding, for example, the written discovery process from multiple hours to a few minutes.

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The Fourth Industrial Revolution1 and emerging technologies--such as the Internet of Things, artificial intelligence, robotics and additive manufacturing--are spurring the development of new production techniques and business models that will fundamentally transform production. Both the speed and the scope of technological change, combined with the emergence of other trends, add a layer of complexity to the already challenging task of developing and implementing industrial strategies that promote productivity and inclusive growth. Further, recent changes put the competitiveness paradigm of low-cost manufacturing exports as a means for growth and development at risk. Countries need to decide how to best respond in this new production paradigm vis-à-vis their national strategies and their ambition to leverage production as a national capability. This requires countries to first understand the factors and conditions that have the greatest impact on the transformation of their production systems and then assess their readiness for the future.

The report shows that digital technologies are likely to further reduce trade costs and boost trade significantly, especially in services and for developing countries. Global trade is projected to grow by an additional 2 percentage points annually between 2016 and 2030 as a result of digitalization, falling trade costs and the increased use of services. The share of services in global trade is projected to grow from 21 per cent in 2016 to 25 per cent in 2030. The report also finds that the reduction in trade costs could be especially beneficial for micro, small and medium sized enterprises (MSMEs) and firms from developing countries, provided they have the ability to keep up with the adoption of digital technologies. In the best scenario, developing and least-developed economies' share in global trade is predicted to grow to 57 per cent by 2030, from 46 per cent in 2015, whereas if they cannot keep up, this share is predicted to rise to 51 per cent.

Asia-based senior executives at global companies believe that the impact of artificial intelligence (AI) and robotics on their business performance in Asia will be profound and positive--and will be felt sooner than we may think. Outside of global robotics industry leaders Korea and Japan, most of Asia currently lacks the depth of technical skills and R&D facilities needed to keep pace with AI development. However, China, India, and other large Asian economies generate a copious amount of data, a tremendous "natural resource" that is critical to pushing AI's capabilities forward. Ironically, given the commonly held view that AI will be responsible for disintermediation of jobs at all levels, it is Asia's massive human capital dividend--the billions of constantly Internet-connected workers and consumers--that will propel AI development in the region farther and faster. MIT Technology Review's International Markets division surveyed more than 60 Asia-based senior executives to gather perspective on the impact of AI and robotics on Asia's business landscape.