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09/12/20 13:22 PM IST

The rise of the AI economy

In news

The pandemic has taught India understanding the potential of technologies such as artificial intelligence (AI) and machine learning (ML)

AI in India
  • NITI Aayog’s national strategy for AI envisages ‘AI for all’ for inclusive growth, and identifies healthcare, agriculture, education, smart cities and infrastructure.
  • The Telangana, Karnataka, Tamil Nadu and Maharashtra governments, among others, have announced policies and strategies for AI adoption.
  • Technology companies have established AI centres of excellence to create solutions for global clients. India has a thriving AI start-up ecosystem with cutting-edge solutions being developed in areas such as cancer screening, smart farming and conversational AI for the use of enterprises.
  • Our talent pool in AI/ML is fast growing, with over 5,00,000 people working on these technologies at present.
  • India is thus poised to become the AI powerhouse of the world.
  • And with that, there is a potential of the rise of an AI economy in the country
Top priorities for India

Talent development
  • No meaningful conversation on AI preparedness can take place unless we are able to meet the rising demand with the right talent.
    In 2019, we nearly doubled our AI workforce to 72,000 from 40,000 the year before. However, the demand continues to outpace the supply. 
Policies around data usage, governance and security
  • Without data, there cannot be AI. However, we need a balanced approach in the way we harness and utilise data.
  • We need a robust legal framework that governs data and serves as the base for the ethical use of AI.
The use of digital technologies has gone up
  • The level of digitisation continues to be low.
  • This poses a big challenge for organisations in finding the right amount of training data to run AI/ML algorithms, which in turn affects the accuracy of the results.
Way forward

The future for AI looks promising but to convert the potential into reality, India will need better strategies around talent development, stronger policies for data usage and governance, and more investments in creating a technology infrastructure that can truly leverage AI.

Source: The Hindu

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