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India Surpasses Singapore In Adoption Of Technology At Workplace

India Surpasses Singapore In Adoption Of Technology At Workplace

Harshajit Sarmah

Singapore is one of Asia’s most advanced nations in terms of technology. Over the years, they have built a reputation that they are strong enough — whether you look at the office buildings, the workplace, homes and observes the habits of its residents and workers. And it is driven by the government’s “smart nation” vision and mission in transforming the country digitally.

However, a recent customer experience study by Verint and Opinium Research LLC which covered the adoption of technology in the workplace claimed that the workers in India consistently outranked their Singapore counterparts in every aspect.



That is not all, the study also shows that 76% of Indians are willing to give new technologies and ways of working a try in order to be more efficient and productive. While Singapore stays a step behind with 69%. Furthermore, the study also uncovered a significant data about the uses of AI — while 72% of Indian workers are willing to use AI to replace or augment manual labour, Singapore is yet again one step behind with 54%.

Talking about the daily tasks that have been automated, it is 75% in Indian and 54% in Singapore. Also, 75% of Indians are expecting that work and processes will continue to be automated compared with 66% for those working in Singapore.


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Manish Shah, Verint’s Southeast Asia VP, told a Singapore-based news portal, “To win the digital race, Singapore needs to keep building and growing on the foundational blocks that are already set. When servicing the customer, don’t be afraid to turn to AI-driven technologies.”

The study was carried out in order to have a look at consumer customer experience, demands and concerns in the digital age and how technology impacts this. The research included 34,000 consumers across 18 countries. Views were from over 2,000 people in Singapore about their technology inclinations and consumer preferences with the analysis made drawn from comparisons with trends observed in last year’s findings.

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