Google’s Outreach Initiatives Use Data to Show ‘Proof of Progress’ for Poor Families

Poverty is a curse for the modern generation. Data shows that though it’s at the lowest level in recorded history, poverty still impacts billions globally. According to the World Bank, a majority of the global poverty population live in rural areas, don’t have access to education and is below 18 years of age. Yet, we should believe that technology can erase the disparities between poor and rich. Google’s charitable arm- Google.org, is driving home ‘proof of progress’ to thousands of poor families. The global outreach program uses data and analytics for the Family Independence Initiative (FII).

What is the Family Independence Initiative (FII)?

Founded in 2011, FII is a data-driven organization that provides an advanced technology platform to improve the socio-economic status of low-income and malnourished families through better social networking and enhanced access to resources and support. Google.org has provided FII with over $2 million in new grants. In addition, the anti-poverty campaign leverages Google’s team of full-time engineers who are lending their technical expertise.

How Google Drives Out Poverty?

Google provides FII with monthly reports as ‘proof of progress’ about changing the economic status of every family. FII sends families visual proof in the form of reports and growth-cards. The future is all set.

A Google team of six engineers is already building an NLP-based tool to help FII analysts with better patterns and data visualization dashboards. These will be uploaded to UpTogether. It will serve two purposes:

• FII will have better visual data understanding of how every family is succeeding in their fight against poverty
• Thousands of families will have first-hand information on their future and what efforts they could take to not slip back to below poverty line

Google’s NLP Runs on AutoML

Google’s team has built a powerful NLP platform for text analytics. The tool uses AutoML capabilities to unravel the hidden patterns and meanings of text and characters. It extracts meaningful information about people, places, events, and latent aspects that impact outcomes. It is based on customer data, social sentiment, and conversation analyses integrated to Cloud management.

Courtesy, Google Cloud

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