The scope of Machine learning in India is quite high in comparison to other industries when it comes to job opportunities. According to some IT firms, there will be about 2.3 million jobs in the field of Machine learning by 2023. The use of machine learning in the field of image processing, pattern analysis, marketing, data analysis is already in full swing in India. Various industries have been exploiting simple machine learning algorithms to solve simple problems for some time now.
The prospect of career growth
Machine learning is a hot topic among industry leaders and students. ML skills are regularly featured among the most in-demand skills in India. The reason behind this is the identification of machine learning as the skill that can make your career future proof. With the kind of expansion that can currently be seen in the machine learning industry, students and aspirants can rest assured about the great prospect of growth. The investment in machine learning in India is growing at a compound annual growth rate of 33.49%. There is little to worry about the future of this field in India. This expansion of this field owes a lot to the blurring of the line between the digital and the physical worlds. According to NASSCOM, machine learning is expected to have an exponential growth by 2026. You have a chance to redirect your career to the field of automation and AI by finding the best machine learning course online.
Applications of machine learning
Machine learning is often identified as a subset of artificial intelligence, although it is more like the force that works behind the AI. Both the private and the public sectors in India are deploying machine learning to explore the possibilities of intelligent automation used in various capacities. The derivatives of this technology that are used quite frequently are computer vision, image processing, speech recognition, automated transcription, etc.
The initiatives
The government has identified five focus areas where AI development could be used: healthcare, agriculture, education, security, infrastructure, and transportation and mobility. The developmental drive is led by NITI Aayog – NITI stands for the National Institution for Transforming India and Aayog loosely translates to policy commission.
In the health sector, Microsoft and Forus Health are working with NITI Aayog on a device called 3Nethra for early detection of diabetes retinopathy using AI-based retinal imaging API’s. Given the fact that India has only 20,000 ophthalmologists for its 1.3 billion people, it is a real blessing.
AI is boosting the Indian E-commerce sector as well. It is expected that the Indian E-Commerce market will grow to $200 billion by 2026.
The Government of India is introducing a new AGRI-UDAAN program to mentor start-ups and enable them to connect with potential investors. The thorough and well-planned use of AI and machine learning can add 1.3% to India’s GDP.
AI can solve some real problems in India and the initiatives are a testimony to that.
