India Ranks Third in Asia Pacific in AI Readiness: Study

More than three-fourth of companies in India think that there is a shortage of skilled professionals that is hampering adoption of AI

India is positioned on the third rank on artificial intelligence (AI) readiness, after Singapore and Hong-Kong in the Asia Pacific (APAC) region, according to a study by Salesforce.

India is among the few global economies that have perfected and implemented automated processes across several industries. The country is one of the most prepared economies with regards to government readiness, the study says.

However, the study points out that the country ranks low on innovation and dynamism, which is affecting its business readiness. The AI start-ups in India are restricted by the fact that majority of small-and mid-sized businesses (SMBs) are not able to afford the adoption or implementation of AI systems.

Leading in number of start-ups

Presently, India is leading in terms of the number of AI start-ups, in spite of having modest scores for all the indicators, highlighting that much more could be achieved if the organisations were to have the business environment, they require to flourish their innovative potential.

On the other hand, the country’s AI ecosystem is held back due to lack of skilled professionals in the field. More than three-fourth (76 per cent) of companies in India think that there is a shortage of skilled professionals that is hampering adoption of AI.

According to the study, the consumers in India are largely aware of AI technologies and their benefits, owing to entertainment-driven services and products.

In terms of sentiment, the highest positive outlook towards AI is in Thailand and India, the two economies where consumers primarily interact with AI technologies focused towards entertainment such as geolocation applications, home assistants, etc., according to another report.

On the other hand, the lowest positive outlook is in Singapore and Malaysia, the two countries that are increasingly opposed to more intrusive aspects of AI, like AI-enabled surveillance, it adds.

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