YouSaid · the spoken record
DJ Patil
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- 130
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- 2016-11-07
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- 2016-11-07
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Every line below is reproduced as it was said and linked to the record it came from. Nothing here is summarised or generated. Directory · Search · Corrections
“Suddenly in the middle, two interesting signals show up. One is that you responded recently to a suicide Another one is you responded to domestic violence where a child was present.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“But there's no best practices. So, what we did is we have now over 40 million Americans are covered by this thing. All the major cities, and all the police departments get together and they meet every other week to talk about how they're opening up the data, how do they make this usable, and what can come about from it. Just one of the things that's been really fascinating, because we often think of this as just police transparency. There's a department in the South that has been working with University of Chicago to look at excessive use of force of data. And so these data scientists came in and they started looking at machine learning techniques. And they started going, what are the features that cause this problem? And the first set of signals are all the usual suspects. You know, you're a bad actor. You obviously shouldn't be here.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Almost always. Almost always. And one of the shocking things is what you expect from one department could be totally different from another department, even if they're just a few miles from each other, because there's no way for them to share or collaborate.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“One of the first things that we find is when the police department tries to release the data, they realize their data hasn't been collected well. So they actually can't make good assessments. Or they don't even know.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“So we have taken that on to say what does that actually really look like? And there's two big projects that we've stood up. One is the president's police data initiative and the other is data-driven justice. Police data initiatives works with police departments to say, hey, how can we actually open up our data to provide transparency and people can use it to help us think through problems faster”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Absolutely. So the president in the wake of Ferguson and a lot of the shootings and the race relations that we're seeing across the country, he stood up a group to give a report on 21st century policing, task force on 21st century policing. A large number of those recommendations all say data and technology. Use data and technology, body cameras, collect the data. How much do we know about police shootings? Do we know about what's called low level use of force? An officer pushing you, all these other things. Turns out there isn't a lot of technology being used. There's not a lot of data. Data is not even covered. Body cameras is kind of the carte blanche solution.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“So the second thing you're doing is policing around policing. Can you talk about that briefly, what you're doing? And of course, it's an enormous topic because one of the issues, obviously, in this election and everywhere else is how Different communities are treated differently.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“We have a lot of signals The fact that we have such an amazing ethnicity diversity across the country is going to give us insights that is going to help one population versus another in ways that I don't think we even can unlock.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“The other thing that's in there as we start to move forward with this is just that we forget America's incredibly diverse place. And the diversity of our population as we go after the next generation of healthcare, our diversity as a population is our asset.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Why has it been giving false positives? Because it hasn't been enough healthy African American males in that research cohort. So a lot of people have been misdiagnosed and also shows that the complexity of how the genome is is far greater. And one of the things people miss about this, there's two things that people often forget about. For our healthcare system, one of the reasons the Affordable Care Act that the president put in place is so critical is that it says you cannot be limited in your healthcare. There's no pre-existing conditions. When we get to the genome, every one of us has a pre-existing human. It's being human. Right.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“That's right. And these are broadly, broadly applicable things. But can I just tell you about one problem of this? Sure, absolutely. So very recently, there was a research team, Zach Cohani is the leader of this in Boston. He was able to show that there's a test that has been done on African-American males for sudden cardiac death syndrome. You typically hear about this of a player playing a sports and they collapse. And that genomic test has been giving a lot of false positives”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“That's right. And those first set of research results will be coming back later this year and will be aiming, they have to go through the class process.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“After they've already left the military, and they're just saying, use the data to help another veteran. That data set has the potential to unlock unbelievable insights, including on cancer and other types of diseases.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“The second part of that is how do we get together to build this type of research cohort? How do we get to make it an all-volunteer effort, national effort to do this? And the National Institutes for Health will be driving that new program. That will be coming out in the late this year beginnings of next year as they start doing more and more prototypes of how to collect that data, build it out in high quality. But we have another one that turns out to be a cornerstone that is veterans at the veterans affairs have over 500,000 have stepped up to say they want to continue to serve and have given their data to do really high quality sequencing all those after they've left.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“And you should have the ability to correct any errors that are in there and all of that to make better system. To block your information going to another, which has been happening. And we've put a lot of rules and other incentive structures in place to do that”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“And so we have a human computer interaction problem that needs to be solved. The other problem is that there's a question of whose data is it. And we believe in a world where if it's your data sitting in some type of hospital database that you're, you know, that's your record, you should have access to it.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“It's over 10 years ago, it was something like 90% were still on triplicate paper. Now it's 97% of hospitals are on electronic medical records. The downside is your doctor spending too much time typing than talking to you.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Understood the patterns So there's a few pieces that have happened that are necessary to make this work. First of all, is that we have to have the health records in a digital form. And those have to be safe and secure. So the good news, here's the good news.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“No, not just waste, but opportunity. There's a lot of people who this would massively benefit. A lot of people with so-called rare genomic disorders that aren't so rare They're actually very common.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Why is that? They're producing these reams and reams of data, and we are doing that every day on everything, our movements, our traffic movements, what we eat, what we buy, what everything we're doing is producing. And now with the phones, everywhere we go, everything we download, everything we look at. So you pick precision medicine because it was one area of waste, presumably, that we're wasting.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Well, to do this first, what we need to do is we don't even have a place where we have a consistent data set. That says, hey, this is the genomic data of a large population of every ethnicity, all our gender diversity, and we're following it along to look for those classic big data correlations. What's fascinating about this is we don't even look at some of the basic results that are not even genomic, but population health that says, oh, look, by the way, over here, here's a population that has increased amounts of chronic fatigue syndrome with diabetes. The VIOC signature, for those that remember the VIOCs, there's a clear-cut signal that says VIOX was causing a problem. No one looked at the data.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Well, it's research institutions. Yeah, it's basically around research institutions. And the challenge there is it is definitely upper class, upper middle class that has access to that. So, we're not giving the population large”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Pharmacists. And even so, the drugs that you get, that pill that you get, the pill that I get. It's not even often tested truly across ethnic or gender.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Who owns the data? Which is a big problem we work on. But before we get to that, the part there is actually. If you get a sequence, when you go to the pharmacist, why is it that nobody says, hey, is your genome mod file? Nobody checks if there's anything in there.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“The costs have gone, they're just dropping every decade just radically. So we're now at about $1,000 and a little while ago was $10,000 before that was $10 million.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“We'll open up more data and make it usable and then have people using the data. Well, not just readable, but you should build something with that data. So one of those examples is precision medicine.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“He's just actually playing with AI, and then he's fallen into this area of realizing, like, wait, actually, I can work on cancer. And so now he's able to broaden his research. My own weather data, I was downloading every night weather data on all the computers I could get my hands on. And from the National Weather Service. So my own research is literally built on open data. I would not have my entire research career if it wasn't for the weather that was out there.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“In the world on AI, and he's 17 years old, he just doesn't know better And he's just playing with open data. The way I got my work”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“He's looking at these sites on the genome that are relative for cancer, how to think about cancer. His algorithms compete with the best algorithms out there”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Also, people haven't realized the disproportionate value that happens when that data is opened up. And as an example. Was this kid that we have a White House science fair now, thanks to this president, and the year before last, this kid, he's 17 years old at that time, and he was looking, he wanted to use artificial intelligence, machine learning algorithms to work just to play with. And so he found an open data set called DBGAP, which is basically DNA snippet data with relative to cancer.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“A lot of PDFs. And so the data isn't actually usable. And there's no cycle for if you're looking at that data and say, hey, I found a problem. There's no way to tell the person who's producing the data, hey, I found an error.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“That's why responsibly is in there as well. It's chosen very carefully because opening up weather data is very different than opening up health data And so, like, well, I guess right the way to say this is where if you want to get some data, where do you go get that? How do you do it? So the present. And so it's data.gov. It's actually really simple. That is the one-stop area where everyone can go download the data that they want. That's available. That's currently out there. And the president has an executive order that says all data the federal government produces by default now must be both open and machine readable.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Want to do something with No, the government. Well, it depends. I guess the government has because we have a census. And so the census has been going on for the entire history of the country. And that has been some of our most powerful data. But there's a lot of other data, the economic forecasts and the weather data, all of these things are at its core essence the source of truth. And there's an incredible amount of process that goes on to make this data. What hasn't happened is the ability to flip this around and say, what happens when we open it up and how do people use it?”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“And so it has become more natural. There is effectively a chief economist, the chair of Council of Economic Advisors. There's a chief statistician. There's a lot of really great people with data. What's been fascinating is they don't always talk to each other.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“So, you know, I think the thing that's most interesting is first, why do we need a new title? Yeah. Like, what's this? What's this role? And the part that I've always found incredibly curious to me is how do you get a president who's really a constitutional law professor? So excited about data and technology. And I think it really comes back from his time at his first campaign where he saw Technology and data in particular are transformative for how to reach out to the electorate and interact with them. And every turn where they have leveraged data and technology, the administration has gotten disproportionate benefit and ability to be effective.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Same building, and you just sort of don't realize the approach. And I just think of what incredible guts it took to do the things he did.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Exactly, and the reason I love it is I listen to it on the way into the White House and out of the White House. And it's very interesting to see the difference of the White House.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“That's right, and all we, the fear and the paranoia you have is letting a portion of society down or making a catastrophic error in which people are going to get hurt Killed And that is rewarding in a remarkable way.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“There's nothing else other than the mission. Right. Secretary of Defense has a great way saying it says, You know, there's nothing more powerful than waking up in the morning, knowing you're part of something bigger. And once you're part of it, it's extraordinarily liberating.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Thing that was particularly when you get that call. It's weird. Like, you don't know how to respond. You're like, what does this even mean? Like, what do you do? To be honest, the thing I first did was I went and asked my wife because Relate IQ had just been acquired. And so there's obviously a lot, as everyone knows here, if you don't stay enough, there's a lot of implications. And so I asked my wife, what she'd do. And she didn't even bat an eye. She's like, you have to put your hat in the ring. You have to start thinking about it. The thing that I think she saw that I couldn't see. Is that we always love to talk about mission and mission of our companies, and that's important. But when you're in these roles, you don't worry about stock options. You don't worry about it's just the mission.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“That's right. Where it learns. It wasn't my intention, but to be honest, you know, one of the things back to government was, so one of the things that I've always wanted to do was go back to public service in some form. I've never known if that's national or just helping out your local town.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“You would lose a lot of money. And so they figured out that the economic incentive is so much on that side. That version of the technology has not been. Put in that way Like autofill, auto complete, those are in some areas But the ubiquity of this is for everywhere it could be as astonishing. And in fact, one of the things that we've been really focusing on is how do you get that into every government process.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“That's a failure of the feedback loop as it's getting data. To actually turn that into your system. Now, imagine that was equivalent of data that was coming in from an attacker.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“They don't have that approach. And so they almost have an arrogance or coldness. It's off-putting. But you can make data actually fail gracefully. And then you will help it along.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Jeez, why doesn't it work that way? And we're seeing this in one of the things that's been, I think, really interesting to me is we're starting to see voice. One of the things is whether it's, what do we call this voice? Is it like what word do we use? Do we use Nicole versus... Versus Tom versus Jerome versus Tanya, these things actually have big impacts. Also, their tenor and how they talk to us, the softness.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“I think one of the challenges that we have is we have a lot of people who don't actually come from technical backgrounds, but they're more focused on how do I just get this thing to grow? How do I do this? And this is like classic marketing slash product, but not true deep technical product. It's a veneer of product rather than saying, okay, how am I going to truly make this come alive and make this system work for you and make it super simple? And if we look at a lot of our systems, we go,”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“That's right. So everything from people you may know to you viewed this profile, you might like this profile, jobs you might like, all of those areas. Why was there that different?”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“We flipped it completely around where I was one of the direct product leads And so I was able to take those ideas and advocate for them with the rest of the product team and say.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“It's all data. And how do you make that come alive? How do you make? And one of the big differences we did is. Like many of the other companies, data was like a research team or some R&D. I spent a lot of time writing papers and then you try to go talk, knock on the door of product and they say, not now, we got this other idea.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“I became real good friends with Reed Hoffman when we were thinking about what's the thing that could carry LinkedIn to the next level, realize that it's sitting on an amazing data asset.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT