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TIME100 AI

--------------------------------------------------------------------------------


ROMESH AND SUNIL WADHWANI


CO-FOUNDERS, WADHWANI AI

Illustration by TIME; reference image courtesy of Romesh Wadhwani and Sunil
Wadhwani
By Astha Rajvanshi
September 7, 2023 7:00 AM EDT

In 2018, the Indian billionaire brothers Romesh and Sunil Wadhwani began to
think about how they could harness AI to help solve global development
challenges, especially in countries where people were living on less than $5 a
day. To find out, Romesh and Sunil—who are founder and chairman of SAIGroup and
founder of the WISH foundation respectively—decided to team up, funneling $30
million to the creation of a nonprofit institute, Wadhwani AI. ($60 million has
been committed to date.)

Today the Mumbai-based institute is one of the few that exclusively devotes its
AI development to pioneering an ecosystem of scalable AI solutions in sectors
like health care, education, and agriculture for underserved communities by
partnering with governments in the Global South. The effort includes a new $5
million program at the Center for Strategic and International Studies. “We
thought that in the U.S., China, and Europe, AI is being leveraged to help
people who are already well-off,” says Sunil Wadhwani, “but maybe we can make
India the global leader in applying AI for social good.”



Six years in, some of these solutions are starting to emerge. In April, the
institute announced a range of AI programs to predict high-risk and mortality
among tuberculosis patients in over 100 public-health facilities in the northern
state of Haryana. (India has more than a quarter of the estimated TB cases
worldwide, with an estimated 504,000 people dying from it in 2021.) One program
uses AI to interpret blood-test results to determine drug resistance to
tuberculosis, while another detects abnormalities in ultrasounds to predict a
patient’s likelihood of testing positive for the disease. A third solution tries
to offer decisionmaking support for caregivers by using datasets to predict if a
patient is likely to complete treatment—based on indicators like age, gender,
location, and the time between diagnosis and treatment initiation—against the
corresponding outcomes for nearly half a million tuberculosis patients across
the country.

The institute has also partnered with the Indian government to launch a
clinical-decision-support system that helps physicians and frontline workers
diagnose faster based on datasets. “In just 90 days, that system is now being
used for over 4 million consultations a month,” Sunil says.

The Wadhwani brothers say India, with a diverse population of 1.4 billion,
perfectly suits the Institute’s mission of altruistic research. “Other countries
simply don’t have the combination of capabilities or opportunities that India
has,” says Romesh Wadhwani.

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Write to Astha Rajvanshi at astha.rajvanshi@time.com.


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