By Admin 
During an important panel discussion held in Davos, Switzerland, IBM CEO Arvind Krishna gave a clear and unambiguous answer to the criticism regarding India’s technological capabilities. Sharing the stage with Electronics and IT Minister Ashwini Vaishnav, he said that the perception that India is lagging behind in tech innovation, especially enterprise Artificial Intelligence (AI), is wrong.
While talking to a private TV channel, Arvind Krishna said that a major part of technology in India is not limited to creating completely new apps. He said that Indian companies work to improve existing systems, scale them and maintain them for the long term, which involves deep enterprise and AI innovation. According to him, saying that Indian tech talent is limited only to the application level is a superficial and wrong assessment.
How value shifts in the tech revolution
IBM CEO, while explaining the development of technology, said that the center of value changes in every technological revolution. Right from the beginning, there is investment in infrastructure like semiconductors, then operating systems and finally the most innovation is seen at the application level. He said that typically 90% of the value goes into application innovation in less than 10 years. If India adopts this change at the right time, there can be a big jump in both innovation and investment.
Not big AI models, small smart models are the strength of India
Speaking on Large Language Models (LLMs), Arvind Krishna said that trillion-parameter large AI models will become common and affordable in the future. The price and switching costs of such models will be very low, due to which they will not provide much strategic advantage to any country. Instead, he advised India to develop small, specialized and effective AI models that include the country’s sovereign data. He clearly said that such models can and should be made in India.
Excellent results from Sovereign AI
Union Minister Ashwini Vaishnav also supported this thinking. He told that recently Sovereign AI models were used in a big defense scenario, the results of which were very impressive. He said that creating a complete ecosystem of small and special models for different sectors is the right direction for economic and strategic benefits.
Different thinking regarding AGI
Arvind Krishna took a different perspective on Artificial General Intelligence (AGI) from the prevailing thinking in Silicon Valley. He said that believing in AGI has become like an ideology or religion. Some people believe that with more data and bigger models we will get there, but they do not agree with this thinking. According to him, the real challenge is how to properly put knowledge into AI models and this remains the biggest shortcoming of science today.
Viable future for India
IBM CEO said that only efficient and sector-specific models like 50 billion parameters will prove to be most useful in the future. These are not only about 100 times cheaper than larger models, but also open new avenues of large-scale innovation and self-reliant AI development for countries like India.
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