Medical &Health

Microsoft, Amazon, Google join fight to prevent famine

Tech giants Microsoft, Amazon and

Google are joining forces with international organizations to help identify

and head off famines in developing nations using data analysis and artificial

intelligence, a new initiative unveiled Sunday.

Rather than waiting to respond to a famine after many lives already have

been lost, the tech firms will use the predictive power of data to trigger

funding to take action before it becomes a crisis, the World Bank and United

Nations announced in a joint statement.

The fact that millions of people many of them children still suffer

from severe malnutrition and famine in the 21st century is a global tragedy,

World Bank Group President Jim Yong Kim said in a statement. We are forming

an unprecedented global coalition to say, 'no more.'

Last year more than 20 million people faced famine conditions in Nigeria,

Somalia, South Sudan and Yemen, while 124 million people currently live in

crisis levels of food insecurity, requiring urgent humanitarian assistance

for their survival, the agencies said. Over half of them live in areas

affected by conflict.

The Famine Action Mechanism (FAM) will provide early warning signs to

identify food crises that could become famines, and trigger pre-arranged

funding plans to allow early intervention.

If we can better predict when and where future famines will occur, we can

save lives by responding earlier and more effectively, Microsoft President

Brad Smith said in a statement.

Google, Microsoft and Amazon Web Services and other technology firms are

providing expertise to develop a suite of analytical models called Artemis

that uses AI and machine learning to estimate and forecast worsening food

security crises in real-time. These forecasts will help guide and promote

decision makers to respond earlier.

Artificial intelligence and machine learning hold huge promise for

forecasting and detecting early signs of food shortages, like crop failures,

droughts, natural disasters, and conflicts, Smith said.

The FAM will initially be rolled out in a small group of vulnerable

countries building up to ultimately provide global coverage. On October 13,

leaders dedicated to this initiative will gather as part of the IMF-World

Bank Annual Meetings in Bali, Indonesia to discuss further implementation.

Source: Bangladesh Sangbad Sangstha (BSS)

Medical &Health

Microsoft, Amazon, Google join fight to prevent famine

Tech giants Microsoft, Amazon and

Google are joining forces with international organizations to help identify

and head off famines in developing nations using data analysis and artificial

intelligence, a new initiative unveiled Sunday.

Rather than waiting to respond to a famine after many lives already have

been lost, the tech firms will use the predictive power of data to trigger

funding to take action before it becomes a crisis, the World Bank and United

Nations announced in a joint statement.

The fact that millions of people many of them children still suffer

from severe malnutrition and famine in the 21st century is a global tragedy,

World Bank Group President Jim Yong Kim said in a statement. We are forming

an unprecedented global coalition to say, 'no more.'

Last year more than 20 million people faced famine conditions in Nigeria,

Somalia, South Sudan and Yemen, while 124 million people currently live in

crisis levels of food insecurity, requiring urgent humanitarian assistance

for their survival, the agencies said. Over half of them live in areas

affected by conflict.

The Famine Action Mechanism (FAM) will provide early warning signs to

identify food crises that could become famines, and trigger pre-arranged

funding plans to allow early intervention.

If we can better predict when and where future famines will occur, we can

save lives by responding earlier and more effectively, Microsoft President

Brad Smith said in a statement.

Google, Microsoft and Amazon Web Services and other technology firms are

providing expertise to develop a suite of analytical models called Artemis

that uses AI and machine learning to estimate and forecast worsening food

security crises in real-time. These forecasts will help guide and promote

decision makers to respond earlier.

Artificial intelligence and machine learning hold huge promise for

forecasting and detecting early signs of food shortages, like crop failures,

droughts, natural disasters, and conflicts, Smith said.

The FAM will initially be rolled out in a small group of vulnerable

countries building up to ultimately provide global coverage. On October 13,

leaders dedicated to this initiative will gather as part of the IMF-World

Bank Annual Meetings in Bali, Indonesia to discuss further implementation.

Source: Bangladesh Sangbad Sangstha (BSS)