Two-thirds of Indian organisations in the early stages of AI adoption

More than half of the organizations are still in the opportunistic stage of AI adoption .

With digital transformation (DX) being a key objective, many Indian organisations in every industry are exploring AI technologies to enhance customer experience, improve operations, and enhance decision-making.

“Only 8.4 per cent of the Indian organisations are in the latter stages of AI maturity highlighting the need for an enterprise-wide AI strategy aligned with business goals,” says Rishu Sharm associate research director Cloud and AI at IDC India. “Most organisations are yet to reach the highest levels of maturity, most notably in the areas of people and technology,” added Sharma.

The India AI MaturityScape study finds that around two-thirds of the organizations are in the first two maturity stages, i.e., ad hoc, and opportunistic, compared with a quarter of organizations in repeatable stage, and around 8.4 per cent in advanced adoption stages, i.e., managed, and optimized. Some key findings of this study includes:

  • Few (11.6 per cent) organizations are still at the ad hoc stage, but more than half of the organisations are still in the opportunistic stage of AI adoption in India.
  • Around 25 per cent of organizations are in the repeatable stage (AI practitioner). Such practitioners are beginning to develop and align their AI strategy and goals with the enterprise strategy.
  • Across all five AI maturity dimensions, survivors cluster around the ad hoc and opportunistic stages. In contrast, thrivers made significant moves toward the repeatable, managed, and optimised stages.

“Organisations have started increasing their AI spend because of the digitization wave and the pause created by the COVID-19 storm. The pandemic has suppressed any persistent doubts about the need of adopting AI in the pre-COVID era. Organisations have started utilizing AI capabilities to extract timely insights from the organizational data, improve internal operations, and achieve strategic goals; and have reached different maturity levels in their AI adoption journey,” said Swapnil Shen de senior market analyst artificial intelligence at IDC India.

IDC has defined five critical dimensions for which an organization’s AI maturity is assessed. The dimensions of the IDC MaturityScape Benchmark for AI and their characteristics at each stage of the maturity are highlighted in IDC MaturityScape: Artificial Intelligence 1.0 (IDC #US44119919, May 2019).




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