Key Highlights:
- 61% of organisations in India have a Chief Data Officer compared to the global average of 52%
- 98% of companies in India are already using AI to automate decisions
- 84% of businesses in India said that they currently use AI in one form or another, nearly twice that of the UK (46%), whereas the US is at 68%
PEAK, a Decision Intelligence company, released its State of AI 2022 report today, highlighting that Indian businesses lead both US and UK when it comes to data maturity and adoption of Artificial Intelligence (AI). Most (84%) Indian businesses with 100 or more employees are currently using AI in one form or another, nearly twice that of the UK (46%), whereas the US is at 68%. A staggering 98% of companies in India using AI are leveraging it to automate decisions.
The research, conducted in partnership with the Centre for Economics and Business Research (Cebr), finds that Indian respondents are more likely to say they have the technical knowledge and managerial skills in-house to facilitate digital transformation. Indeed, Indian businesses are more likely to have hired data scientists, data engineers and decision architects than their counterparts in the US or the UK. Similarly, 61% of organisations in India have a Chief Data Officer compared to the global average of 52%.
They were also most likely to seek support from external tech teams (59% vs an average of 47%), suggesting that Indian businesses are better able to realise value from their data investments and can justify additional spend.
The report also provides a look at the data strategy and architecture that Indian decision-makers have in place:
- 78% of decision makers say that their businesses are data-driven whereas 82% have a standardised process for collecting data – the highest globally
- 90% of Indian decision-makers say they have a data strategy vs 68% in the UK
- 86% of businesses globally have a data lake/warehouse, the highest incidence is in India (93%), followed by the US (84%) and the UK (80%)
- Indian businesses are most likely to have all their data in a data lake or warehouse (46%, vs a global benchmark of 34%)
New Delhi, India - May 30, 2022
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