Infosys cofounder Nandan Nilekani on AI commoditisation and the rise of Indian startups Nilekani discusses declining returns of large AI models and the importance of data
Infosys Cofounder Nandan Nilekani on AI Commoditisation, Data, and the Rise of Indian Startups
In a recent discussion, Infosys cofounder Nandan Nilekani addressed the evolving landscape of artificial intelligence (AI) and its implications for the Indian startup ecosystem. He highlighted the diminishing returns associated with building large AI models, a trend that is becoming increasingly evident in the industry.
Commoditisation of AI Models
Nilekani pointed out that as AI technology becomes more accessible, the costs associated with developing large-scale AI models are rising. He noted that China’s approach—focusing on affordable, open-source solutions—could set a precedent for other countries, including India. This shift towards commoditisation means that startups must pivot their strategies to leverage AI effectively without incurring prohibitive costs.
The Importance of High-Quality Data
Central to Nilekani’s insights was the significance of high-quality data. He stressed that for AI models to be effective, they must be built on data that is informative, engaging, and relevant. Quality data not only enhances the performance of AI systems but also ensures that Indian startups can compete on a global scale.
Impact on Indian Startups
The rise of AI and the emphasis on data quality present unique opportunities for Indian startups. Entrepreneurs in India are now better positioned to harness AI technologies to innovate and address local challenges. By focusing on creating high-quality datasets, startups can differentiate themselves and drive meaningful impact.
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