A recent study by NTT DATA reveals that Indian organisations are planning to increase investments in generative artificial intelligence (GenAI).
This shift marks a transition from initial experimentation to a focus on long-term use cases aimed at enhancing business performance, compliance and safety. Globally, 99% of organisations surveyed indicated similar plans to boost GenAI investments, according to the digital services and IT integrator firm’s report.
The findings are based on a comprehensive survey involving over 2,300 IT and business leaders across 34 countries, including India.
The study highlighted that 67% of organisations in India have already set up dedicated teams for GenAI, compared to 83% of global organisations. This indicates that while India is making significant strides in embracing GenAI, there is still a gap when compared to global counterparts.
The surge in interest and investment comes after the widespread adoption of generative AI technologies like OpenAI’s ChatGPT, backed by Microsoft. These tools have shown their potential in revolutionising various business processes. Globally, top use cases include personalised service recommendations, knowledge management, quality control, and research and development (R&D).
In India, the focus areas for GenAI applications are slightly different, prioritising quality control, risk assessment and fraud detection, as well as personalised service recommendations and knowledge management process automation.
“The future is clear. Generative AI is more than just another tool – it’s a transformative force,” Yutaka Sasaki, President and CEO of NTT DATA Group said. “As we move beyond experimentation, a tension emerges: move too slow and we fall behind. Getting GenAI right isn’t optional. That’s why we’re providing a blueprint to help our clients harness its potential for lasting success.”
The survey also revealed that two-thirds of C-suite respondents in India believe that GenAI will significantly enhance competitiveness, accelerate innovation, ensure compliance, improve security, and ultimately increase revenue.
However, there are notable barriers to the widespread adoption of GenAI. These include the need for extensive user training, concerns over the safety and security of GenAI solutions, limited perceived value among some users, and a general lack of awareness about GenAI capabilities.
“This is a powerful point in world history as GenAI is shaping up to be a huge force in our tech-enabled economy,” Abhijit Dubey, CEO of NTT DATA, said.
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