India has developed into one of the most AI forward countries, a survey says.
In terms of AI development for the Industrial Internet of Things (IIOT), India has been placed among some of the most technologically advanced countries.
According to a survey by Finnish AI-based solutions specialists Zyfra, the US ranks first, followed by China, while India comes in 13th, after Canada.
The ranking is based on a survey that studied the number and quality of scientific publications on the subject, a statement released by the agency said earlier this week. It accounts for studies about AI in more than 200 countries and in 50 of the most cited scientific magazines.
Over the last few years, tech services industry in India has had a significant impact on its economy and accounted for 7.7% of India’s GDP in 2016. In light of this, earlier this year, the Policy Commission of India, that is the National Institution for Transforming India (NITI Aayog), launched an AI-focused research programme.
In a document released in June, the Policy Commission said that India, being the fastest growing economy with the second largest population in the world, has a significant stake in the AI revolution.
It has adopted a three-pronged approach to create a national AI strategy. This includes undertaking exploratory proof-of-concept (POC) AI projects in various areas, crafting a national strategy for building a vibrant AI ecosystem in India, and collaborating with experts.
It said that since the start of this year, it has partnered up with several leading AI technology players to implement AI projects in critical areas such as agriculture and health. Learnings from these projects and its engagement with leading institutions have helped develop an effective national strategy for AI.
The survey highlighted the time it took for India to implement the research on paper and deploy it in various sectors. The statement said that in India, it takes time from the achievement of new frontiers in the academic field to the beginning of the successful practical application of corresponding methods.
The Business Director of the company said that a very important research on the use of convolutional neural networks for semantic segmentation was published in 2015, but it was not until 2017 that the work on implementing this method in steelmaking began.
Last month, the company announced its launch of a manufacturing data collection (MDC) plus system in the Indian market. The statement said that it is a real-time machine monitoring and with hundreds of customizable reports and charts that can be used to track jobs, parts, operations, work centres, scrap costs, downtime and people.
The Managing Director of the company said that they will sign over 15 contracts worth US $2.5 million with Indian firms in the business of machine-building, aircraft and steelmaking industries. He said the MDC tool will help track equipment operation, enhance production without considerable investment. It is a crucial task and the initial step towards the Industrial Internet of Things (IIoT).
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