AI Can Transform Healthcare: Tata Sons Chairman

AI Can Transform Healthcare: Tata Sons Chairman
Tata Group Chairman N Chandrasekaran, in his year-end note, shared that the group plans to create 5 lakh manufacturing jobs over the next five years and emphasised that the “group of companies are beginning to make the most of data, digital and AI.” The note, addressed to Tata Group employees and shared on December 26, highlighted the progress of the group’s companies, including TCS, Tejas Networks, Air India, and others, while emphasising the growth opportunities offered by Artificial Intelligence (AI) technology.

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The chairman mentioned that “TCS and Tejas Networks delivered the first indigenous 4G mobile telecom stack for BSNL, and stand poised for 5G.” Chandrasekaran shared that he is “particularly excited by two areas where economic opportunity and social progress converge: AI and manufacturing.”

The Age of AI

Speaking about the evolving relationship between science and technology, Chandrasekaran shared the prospects in AI and technology, saying, “A fundamental reversal is taking place. Historically, scientific progress has predominantly fueled technological progress. Consider how breakthroughs in quantum mechanics led to the digital age. Today, however, the opposite is happening: advancements in technology are leading to scientific discoveries.”

“This year the Nobel Prize for chemistry went to developers of an AI model that predicts protein structures—a glimpse of how computational tools will revolutionise drug discovery. Previously, determining the 3D structure of a single protein typically took a year or more. Now AI tools can predict these shapes with remarkable accuracy in minutes,” he explained.

Chandrasekharan further outlined that “AI can transform healthcare in other profound ways, not only enhancing how we understand and treat diseases but also how we diagnose them. Machine learning is being used more in environmental research, while large language models hold the potential to significantly expand access to clinical care. We will continue to see significant acceleration in the use of AI in fields like healthcare and mobility,” he added.