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This Article is From Dec 10, 2024

From Experimentation To Impact: Indian Enterprises Place ROI At Heart Of AI

From Experimentation To Impact: Indian Enterprises Place ROI At Heart Of AI
Indian enterprises are moving beyond experimenting with artificial intelligence to maximising the impact of their AI investments (Source: rawpixel.com on Freepik)

Indian enterprises are moving beyond experimenting with artificial intelligence to maximising the impact of their AI investments.

According to a study commissioned by IBM, Indian organisations expect AI to benefit in areas like innovation (26%), revenue generation (21%), cost saving (12%), and increased employee productivity (12%).

In 2025, the focus of AI investments for Indian organisations will be on enhancing customer experience (27%), planning and strategy (16%), and optimisation of IT functions (16%). However, to realise these goals, organisations must address challenges like data accessibility issues (46%), limited AI skills (42%), and difficulty in integration and scaling (38%).

Enterprise focus is shifting from low-risk, non-core use cases to deploying generative AI in core business functions for competitive advantage and improved ROI. Nearly 60% of surveyed organisations across the Asia-Pacific region anticipate realising the benefits of their AI investments within two to five years. Only 11% expect returns within the next two years.

According to the study, the five AI trends in the region include:

  • AI-Led Revenue Generation: Organisations are expected to adopt a "strategic AI" approach in 2025, prioritising projects based on feasibility and business impact. The challenge is how to scale AI through use cases that maximise revenue opportunities and ROI.

  • Smaller Specialised Open-Source Models: Purpose-built models will be in demand, including those designed for local languages, nuanced regional contexts and simpler computational tasks. 

  • New Tools For Visibility, Governance, And AI Integration: Asia-Pacific organisations will increasingly leverage open-source AI models to drive innovation and efficiency. "Unified AI" with orchestration tools will help streamline the management around these solutions. 

  • Agentic AI: Enterprises will increasingly devise agentic workflows, powered by AI agents, to autonomously execute tasks, collaborate with human workers and drive value across. 

  • Human-Centred Innovation: While productivity tools have been a major focus of AI adoption, enterprises will leverage AI to enhance human experiences and capabilities. Human-centric AI approaches will help augment employee roles, automate routine tasks, and unlock new opportunities for creativity and innovation. 

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