Global Capability Centres (GCCs) and startups are at the forefront of AI adoption in India, according to a recent EY report. The year 2024 has seen a surge in innovation and implementation of generative AI (GenAI) across sectors. Companies have been actively launching proofs of concept (POCs) and bringing GenAI-powered applications into production. Big tech vendors have introduced their models to the Indian market, while start-ups have driven rapid innovation, particularly in language technology and GPU cloud services.
Despite these advancements, several challenges hinder the full realization of GenAI’s potential. Issues such as hallucination in AI models, alignment with enterprise policies, and data privacy concerns are prominent. Additionally, the dynamic cost structure of LLM services affects investment decisions, slowing down the pace of adoption.
To address these challenges, a two-speed approach is recommended. This involves continued rapid experimentation with GenAI in a structured manner, moving beyond numerous POCs to focus on those with significant transformational potential. Simultaneously, building a robust enterprise AI platform is crucial to support long-term scalability and sustainability.
