YouSaid · the spoken record

DJ Patil

lines on the record: 130
first: 2016-11-07
most recent: 2016-11-07
sittings or episodes: 1
sources: podcast

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

“Because now we're in that day and era where somebody builds one of these Internet of Things and they haven't even thought through what the tracker is going to be like.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“or any of the classic ways that you can compromise the database. Same way with scripting or any of these things. So our belief is, and what we've called for is every student that's training in any technical area must have security and ethics built in as part of the core curriculum.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“So you were doing fraud there. Fraud? That's right. The evolutionary war has been going on for a substantially long period of time. And what has happened is we're just seeing it now bleed over to more and more areas, especially as we get online and especially with the Internet of Things and people not realizing what can happen. One of the classic problems that we're also seeing is the way people are trained. So, if you have a person who's training to taking computer science 101 and they're learning about a database, they learn about a database, but they never learn about an overflow attack.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“It was Two factor auth, which is like, yes, it's a bet. All your names so far have just been awful. But so you were doing fraud there. Fraud and trying to prevent fraud. And I probably saw the beginnings of the stuff that's going on now, like how they become more and more sophisticated, these players.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Yeah, I go around in my talks or if I'm talking to a group, I just always did this at a major hospital. How many people in the audience of the physicians had two-factor auth on? It was only like a third. They didn't even know what it was. I think it's our fault because we call it two factor auth, which is like”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Is very old and antiquated. A lot of these things are built on top of building systems. The other is the classic two-factor authentication and other good hygiene techniques that are just 101.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“How do we make sure that their systems are just as well protected? They're not. They're not. And that's how do we bring up everyone's? And they're not from many different layers. It turns out that has been one of the most interesting things. One reason is because the infrastructure, the technology that they're built on.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Is some physician of practice with three people, and now we have all of that information digital, good, because it helps us better care faster. But how do we protect them?”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“We think of this as big infrastructure and super high powered data scientists and machine learning people doing this. Person who's got your medical records”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Even at some of these companies, the time for greatest attack is like 5 p.m. on Friday. Because they know it's like, and the attacks keep going till like Sunday night. Yeah, yeah, and you're not there to fix it. They're not there to fix it. They know when your downtimes, they know your weaknesses in any dimension. Right. And you need to augment systems. This is why I think the work that we're doing on artificial intelligence at the White House is so important is that.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Just fraud, and you have a bad guy who's just, you know, you found a hole, you've patched it, and they found another way. And your cycle time is so fast. And I remember this that.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Security. And so we had to take a different approach. And so we took an approach that was what now people would call very similar to deep learning. It was neural networks, it was fast training, all these things. It was an idea that has been in national security and government circles for a long time. And we just applied it.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Talk to my son, do me a favor or talk to this kid. And he had the foresight to say like, hey, actually, maybe there's value here. And I had some other friends working at eBay at the time, and they said there was this new initiative to work across these companies. And so I was able to get in. Start building things. And when we start building things, one of the things that people didn't realize at the time was an adversary who was attacking you was evolving faster than you could ever build rules, especially on fraud.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“No, it was time to pass a baton. And one of the big things for us was my wife and I were commuting and we had a child coming on the way. And so we had to figure out how do we be in the same place together. And so I literally, we just both packed up our bags. She was in New York. I was in DC and we just relocated here and saw what would happen. And the interesting thing is most companies passed on me. All the usual names. Didn't think I had much to add. Didn't say, like, they said, Well, we'll see what you could do. Luckily enough, my mom was at a dinner party and happened to see Rajiv Dutta, who was president of Skype at the time And she harassed him into taking a call with me”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“The flame and the culturing of the flame and making sure it all works, that is the rest of all the muscles that we have built out of time.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Forgetful as we are. And also self-driving cars come from DARPA. And this is one of the things that we forget is that the spark is often national”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“That's true. And that's they forget, everyone forgets that all of us that were sort of that big data wave here in Silicon Valley, almost all of us came from the national security apparatus. Like we were all doing this in some form, and especially people who are helping fight fraud at eBay or PayPal or those types of things.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“And those were early days. The interesting thing is, we often have this narrative right now of Silicon Valley's coming to save DC.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Insecurity and responsibility of what's happening. We're having a similar parallel conversation today Then that program was called Total Information Awareness. And I was on the side of one of the people that was asked to come and help rightside that program make sure it was in the right. And so that gave me a lot of, and that's why ethics and the ethics of data is so critical to me. Because it was like, how did we get there with these things? And so we did a lot of that work and also ended up doing a lot of work in bioweapons proliferation prevention in Central Asia, finding bad places that were doing bad things and figuring out what to do.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“There's a lot of data, but we didn't see a signal. And so, what is right? What is wrong? And also at that time, there was a lot of questions around privacy.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“9 11 happened And so I was part of the second wave of people who were asked to come in to think about threats against U.S. interests and the idea of How do we use large amounts of data to find signal noise? And there's this question because the 9 11 hijackers. Yes.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“It's almost everybody. It's the nearly 7 billion people now. So let's call it three, four billion. So I feel pretty good on that side of what we're able to do. And people forget often that some of these unsexy areas actually have the greatest lift.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“That became a big deal because it helped all the major weather forecast centers change the way they approached this and is still being implemented to this day. It's got an idea called the Maryland Ensemble Calm and Filter. And so I know we're very original. Just flows on, exactly. And the cool thing about this is, you know, we talk about scale often here in Silicon Valley. The thing that I've had, honestly, the greatest scale is my weather work. Because you think about the population of the world that receives a weather forecast and depends on it”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“That this is a storm, but this storm has high degree of unpredictability or very high degree of predictability by running many simulations and actually figuring out how you could fly a plane out there to take the observations to dramatically improve the forecast or just say there's nothing you can do to improve this forecast just because it is so high dimensional chaotic.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“So, a lot of people thought, well, this had been understood for weather. And so, what we did is we took a very fresh look at it and we showed that when you look at that five-day, seven-day, 10-day forecast when you open up the newspaper or now just open up an app, how do you quantify whether that's a good forecast or bad? How do you quantify the relative margins of success of that forecast, the quality of it? And so what we found is that they're in different times you could qualify that and you could say”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“So the idea of chaos theory is that the world is incredibly susceptible to small changes. So a butterfly flapping its wings in one place can cause a tornado somewhere else or a lack of a tornado.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“No, I was quite the opposite. My dad was so incredibly busy with his trying to make a company that there was no time to push me. And, you know, we were, it's kind of like everyone just wandered around and hung out by themselves. It was a very safe community. So there wasn't a lot of pressure. But I think what it did do is it gave me space to be creative and try lots of other things. I was doing many other things. I learned how to etch my own chip designs and all these things because there was a lot of vocational classes for electronics and learned how to do drafting. But it was very different. And from that experience, I was able to kind of take that community college experience, go to UCSD, did my undergraduate degree in very theoretical mathematics, but very much working on data. I was really interested in oceanography and those things of data. And then graduated rather quickly and then was able to go to University of Maryland, where I did my doctorate in nonlinear dynamics and chaos theory with the guy who...”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“Farming. Farming and agriculture. In military. And so I had a different, very different experience growing up that way. I also wasn't a very good student. So I eventually, because of my math classes, oddly enough. So I went to Dianza Junior College, which is most people know of 280 and 85. And most people know it as the Flint Center. Dianza is one of those seminal institutions. This is why I'm such a big advocate of community college because the community college is what got me sorted out because my girlfriend was taking this class called Calculus. Smart people. I took the same class as she did. And it turned out I fell in love with it. It was amazing. And so it was off to the races.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“But at Cupertino back then was mostly Moffat field support, a lot of military, a lot of Cupertino Electric. And so I went to school named Mona Vista, which many people now know as Powerhouse. Back then it was a very different place. I think there was like eight Indians, maybe 20 Asians altogether, just very different. It was phenomenal as a community. A lot of people had gun ownership. We went shooting out and did a lot of target practice, those things. So it was a place where you actually interacted with a very different version of Silicon Valley. Right.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT
“At MIT, he was electrical engineering and was working on the idea of how to actually build semiconductors in high density, very large scale integration. And people didn't believe at the time that that could be done just through simulations and fabulous, what is called fabulous semicondu. And so he took his company, which at that time was just an idea with some grad students called Patel Systems Incorporated. And we were in Utah after where he had a small professorship. And then started out here and read, the company got renamed as Cirrus Logic back then. It was kind of one of the early days.”
2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT