Companies around the world have started adopting Artificial Intelligence and RPA in their workspaces as these enhance employee productivity
A recent study concluded that India has surpassed the technologically-advanced countries like Japan and the US in the adoption of automation and Artificial Intelligence. The study, Augmented Human Enterprise, conducted jointly by enterprise software provider Automation Anywhere and Goldsmiths (University of London) found 70 per cent of its respondents confirming that their employees have taken up robotic process automation (RPA) and artificial intelligence (AI) based augmentation.
The study surveyed business stalwarts in India, Japan, the US and the UK and found out that the highest proportion was in India. The country crossed the other regions in the employee-engagement and employee listening aspects. 66 per cent of Indians said that they were empowered to take risks, 77 per cent respondents pointed out that their organisation’s priority was employee development. In addition to this, 84 per cent of respondents shared about employee engagement and listening in their respective work environments.
The other markets showed around 38 per cent employee engagement in the global augmented workplaces. Around 70 per cent regarded augmentation as the factor in enhancing the well-being of the employees. It was 80 per cent for those who included AI and 78 per cent in the case of RPA inclusion.
Dr Chris Brauer, director of Innovation, Institute of Management Studies (IMS), Goldsmiths, highlighted that besides using AI technology, the most productive companies around the world had also started adopting RPA. He also pointed out the fact that robots and human beings were working together in several sectors.
The Augmented Human Enterprise study suggested the use of automation since it resulted in yielding maximum benefits to the employees by enhancing their skills. It further said that India was leading the path by adopting augmentation. 86 per cent of respondents agreed that it increased employee productivity. The study interacted with experts in automation and AI subject-matters, technologists, CEOs, scientists and engineers.