FIRST AIRED: November 10, 2017

Nice work! Enjoy the show!


You’re busy. We get it.

Stay on top of the news with our Editor’s Picks newsletter.

US Edition
Intl. Edition
Unsubscribe at any time. One click, it’s gone.

Thanks for signing up!



>> Two of the biggest data leaks in history, the Paradise Papers and the 2015 Panama Papers have brought people in power to their knees. But they wouldn't have been possible without a small Swedish startup, Neo Technology's graph database connected the dots, finding names in millions of leaked documents and then linking them to offshore accounts.
Now CEO Emil Eifrem says companies named in the papers are also using the tech.>> Most of the big banks were featured in the Panama Papers one way or the other, right? And they->> But now they wanna use the tech.>> Exactly, cuz they were like, wait, these guys, who aren't even employed with us, find out all kinds of dirty laundry for us, right?
>> And that's what's interesting.>> So now we wanna use that technology to find our own dirty laundry before anyone else does.>> The Panama Papers was so big that one analytical news website estimated that it would take more than 41 years to print all the documents.>> All other databases in the world, they work in tables.
So think Excel, right, you have columns, and you have rows. And everything that is well structured fits neatly into this. The problem with this is that the world of information has changed. Think about all your mobile devices, how they're connected, think about social media, think about investigative journalists, and where it's all about seeing how things are related, right?
So what we said is that, well, let's think about how the brain is structured. The brain is structured with neurons that connects to other neurons through synapses, which builds up a network. Any mathematics in a network is called a graph. And so here, this is how our database works, which makes it super easy to find all of these unobvious patterns.
Like the prime minister is connected to the bank account, not directly but indirectly.>> Eifrem believes graphs are transforming the way we see data, helping everything from doctors searching for cancer cures to enabling space travel so companies and journalists alike can look beyond the obvious.