Government has made big plans for India to lead the world in AI; Data labs will be opened in small cities
An American company recently said that the biggest challenge for AI in India would be the availability of data and its storage to enterprises. Keeping all these things in mind, the government has started manufacturing AI-related infrastructure in the country. So that in the future all sections of the country can get the benefit of artificial intelligence.
Recently, America's Artificial Intelligence (AI) company, Pure Storage said that the biggest challenge for AI in India would be the availability of data and its storage to enterprises. The government has started building AI-related infrastructure in the country because of these types of challenges. So that in the future all sections of the country can get the benefit of AI and India can lead the world in AI.
According to the Ministry of Electronics and IT, preparations have started to set up data labs in 27 tier-2 and tier-3 cities of the country. A model-data lab of India AI has been established at the National Institute of Electronics and Information Technology, New Delhi. Similar data labs will be established in Gorakhpur, Lucknow in Uttar Pradesh, Patna, Muzaffarpur, and Buxar in Bihar. Data labs will also be established in cities like Kurukshetra in Haryana, Ropar in Punjab, Shimla in Himachal Pradesh, Ranchi in Jharkhand, Haridwar in Uttarakhand, Jammu and Srinagar in Jammu and Kashmir, Bikaner in Rajasthan, Aurangabad in Maharashtra.
With the establishment of data labs, the government has also started training youth on a large scale in the field of AI. Because in the future, AI will be used on a large scale in many sectors like healthcare, agriculture, and education. At the same time, a large number of AI-trained labor forces will be needed in the country as well as around the world. The Ministry of Electronics and IT, in collaboration with NASSCOM, is running a platform called Future Skill Prime, under which training can be taken through this platform in sectors like Big Data Analytics, Robotics Process Automation, Additive Manufacturing, 3D Printing, Cloud Computing, Social and Mobile, Cyber Security, Virtual Reality, Internet of Things and Blockchain.