When it comes to adopting AI for the workplace India is leading the way. India is standing out as a frontrunner in the field. A remarkable 70 per cent of businesses in India are already implementing AI projects or are in the process of doing so.
This figure starkly contrasts with the global average of 49 per cent, as per a report by NetApp.
Moreover, the report highlights that 91 per cent of Indian companies plan to use at least half of their own data for training AI models in 2024.
In terms of geographical regions, 60 per cent of AI-leading countries, including India, Singapore, the UK, and the USA, have active AI projects or pilots, whereas only 36 per cent of AI-lagging countries, such as Spain, Australia/New Zealand, Germany, and Japan, have reached this stage.
When broken down by industry, technology companies lead the pack, with 70 per cent having AI projects underway or in pilot phases. Following closely are banking and financial services at 55 per cent, and manufacturing at 50 per cent. However, healthcare (38 per cent) and media and entertainment (25 per cent) are lagging behind in AI adoption.
Larger companies, which boast over 250 employees, are more inclined to have AI projects in progress, with 62 per cent reporting projects either up and running or in pilot phases, compared to 36 per cent of smaller companies with less than 250 employees.
Puneet Gupta, Vice President and Managing Director at NetApp India/SAARC, emphasized the crucial role of data in enhancing AI capabilities. He noted that India’s vast data sets contribute to its leadership in AI adoption, emphasizing the importance of a unified and reliable data infrastructure for successful AI initiatives.
Furthermore, the report identifies a difference in approach between AI leaders and laggards, with 67 per cent of companies in leading AI countries reporting hybrid IT environments. Notably, India leads in this aspect with 70 per cent, while Japan lags significantly behind at 24 per cent.
Overall, AI leaders are reaping significant benefits from their initiatives, with reported increases in production rates, automation of routine activities, and enhancements in customer experience.
(With inputs from agencies)
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