This is an IHeart podcast.

I'm Maeve Higgins and this is Solvable.

Interviews with the world's most innovative thinkers

who are working to solve the world's biggest problems.

My solvable is that every frontline social organization

has the ability to use data and AI

the same way, same capacity that the big tech companies do today.

I want to see a world where the same algorithms

that are routing your packages to you at your house coming so efficiently because an AI figured

out the best way to avoid traffic and weather are just as equally being applied to delivering

a vaccine through an area before it spoils. That's Jake Porway, the founder and CEO of

non-profit data kind.

He's talking to Jacob Weisberg about how he's working to make that world a reality.

The Rockefeller Foundation has thought about this too.

More than 2.5 quintillion bytes of data are produced every day.

That's 100 trillion bytes. This abundance of data

combined with rapidly advancing analytics capabilities could really improve the lives of

billions of people around the world. But it's only living up to a fraction of that potential.

While private sector businesses have been building and deploying data science capabilities

for many years now, most organizations in the non-profit and civic and public sectors are way behind.

Of course, they want to use the applied data to make their work go farther and faster and to help more people, but they don't often have the resources.

I mean, put yourself in the shoes of a newly minted graduate.

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