While the survey for India was conducted between August and September, globally it was conducted among 670 high ranking officials in September-October.
The study said India witnessed the highest increase in AI use compared to major economies like Britain, Japan and the US, with over 70 per cent of Indian organisations having implemented AI in some functional areas in 2020 as compared to around 62 per cent last year.
Also, over 90 per cent companies are implementing or planning to invest in AI solutions to address current business concerns, the survey said.
According to the survey, AI adoption in India was led by the travel and hospitality sector with 89 per cent of the surveyed firms doing so, followed by telecom, media & technology firms (86 per cent), financial services (82 per cent), and 73 per cent of healthcare and pharma companies adopting it during the year.
AI is deployed across business functions like customer service, finance and tax, HR, IT and cyber security, manufacturing and operations, R&D, risk, legal and compliance, sales and marketing, supply chain and logistics, among others.
The survey also shows that optimism with regard to AI in reducing cost and maximising revenue has gone up significantly from 72 per cent to 92 per cent in India , and 45 per cent of organisations have increased the use of AI since the pandemic hit them.
Further, 94 per cent of the respondents have either implemented or are planning to implement AI in their organisations.
AI is now regarded as a key enabler for organisations to emerge from the present crisis, plan for transformation and making fundamental changes to the operating model for lasting competitive advantage, said Sudipta Ghosh, a partner and leader for data and analytics at PwC India.
To get the best out of AI, businesses need to start viewing it as a necessity rather than a luxury and weave it into the organisational fabric, he added.
However, companies also find adopting AI difficult and fail to realise the optimum value from their AI investments. For instance, 37 per cent of them find it challenging to identify the right use cases for AI and 28 per cent lack high-quality data for use in AI solutions, the survey said.
(Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)
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