India Should Focus on Sector-Specific AI Models: S Krishnan
Information Technology Secretary S Krishnan emphasized the need for India to redirect its attention away from the widespread excitement surrounding generative AI on a global scale. Instead, he recommended that the country invest in targeted artificial intelligence models tailored to specific sectors to enhance productivity within key industries.
At the Democratising AI Access through Distributed Compute: Perspectives from the Global South event, Krishnan emphasized the limited scope of generative AI within the broader AI landscape. “Why are we so obsessed with the generative AI part? Why are we not looking at other aspects of it?” he remarked.
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He emphasized that artificial intelligence models created for particular functions frequently produce outcomes that are both more efficient and practical compared to expansive, fundamental models.
Instead of focusing only on the development of extensive AI models, India has the potential to establish itself as a prominent center for AI applications and scenarios globally.
Krishnan urged startups and technology firms to create solutions that have the capability to be implemented on a widespread scale throughout the economy.
The secretary illustrated the three fundamental principles underlying India's strategy in the field of artificial intelligence: infrastructure, models, and data.
Emphasizing the importance of infrastructure, he highlighted the necessity of creating a fair environment that enables private entities to be involved in the development and operation of digital and AI technologies.
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Krishnan highlighted the increase in government datasets available on the AI Kosh platform. With over 7,000 open datasets currently stored, the repository is steadily expanding. “These smaller models can make a significant difference in productive sectors of the economy, whether it is healthcare, education, manufacturing or agriculture,” Krishnan adds.
“This public-private approach is increasingly seen by international organizations as suitable not only for India but also for much of the Global South,” he says.
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However, a substantial amount of data is still isolated and cannot be accessed. Krishnan encouraged private enterprises to participate in the ecosystem to fully harness the capabilities of AI in India.