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The AI Conveyor Belt.

Authors :
Gopali, Nilesh
Shetty, Hasik
Source :
ECIAIR Proceedings of the European Conference on the Impact of Artificial Intelligence & Robotics; Oct2019, p455-461, 7p
Publication Year :
2019

Abstract

For a considerable period of time the western world has enjoyed the benefits of better talent, innovation and infrastructure over emerging economies. These emerging countries, including India and China, have unsuccessfully tried to bridge the gap with developed nations, thereby remaining middle-income countries. The advent of the Artificial Intelligence (AI) revolution brought with it a new hope for these markets to compete directly with the developed nations. On top of this, AI delivers a greater impact of change and associated benefits to these markets compared with developed countries. To be competitive in the AI space one typically requires both, a mathematically literate talent pool and accessible data. If these are in place, investments usually follow. India and China, both, have a large pool of young, tech savvy mathematically literate talent. With the huge population and recent digitisation boom in both these countries, they are on a path to have the largest consumer data, unmatchable by any other economy. China and India now rank first and second respectively in terms of global internet data usage, leaving the US behind. With international investments flowing into Indian tech ventures, complemented with traditional home-grown businesses, India has risen to number two (52%) in the global Fintech adoption index, trailing only behind China (69%). Based on these factors, and a growing acceptance of AI, we have identified a new wave emanating which is elaborated in this paper: 1. Reversal of Offshore Outsourcing; 2. India as a Global Platform for innovative AI disruptors, on a massive scale [ABSTRACT FROM AUTHOR]

Details

Language :
English
Database :
Complementary Index
Journal :
ECIAIR Proceedings of the European Conference on the Impact of Artificial Intelligence & Robotics
Publication Type :
Conference
Accession number :
152339157
Full Text :
https://doi.org/10.34190/ECIAIR.19.083