Big Data will impact every part of your life | Charlie Stryker | TEDxFultonStreet

how do you extract the most information possible out of massive amounts of data apply it to some of the problems today and I'd like to leave you with one impression and that is that the the big data ecosystem is real it's in the first inning of a nine inning game and in the next five years there's virtually no aspect of our lives that isn't going to be affected some examples which we all are quite familiar with pre 1993 the way people find jobs today totally different pre 1993 to today the way we trade our stocks pre 1993 to today the way we find love we could spend the next 15 minutes and talk about all the things that the Internet's affected whether it's how you manage your health how you connect with your friends how you stay in touch with your friends how you invest your money how you find new customers for your business the list our lives every day or untouched by that one technological revolution between 1970 and 1993 if you use all the commercial data you could find to solve any problem in your personal or business life the inventory of data you had to work with was about 1 billion gigabytes of data the birth of the internet dramatically accelerated how data's captured stored collected and available for use today May 2014 there's about 5 billion gigabytes a day that structured and available for use by the way that 5 billion gigabytes a day is constructed from about 25 million gigabytes of data collected stored every day available for use of which today we only have the technology to structure 5 billion gigabytes of it that's the big data ecosystem we all know that that massive amount of data without the ability to use it is it worth very much the other remarkable thing about this ecosystem is at the same moment in time that the data exists the technologies to process it structure it in our trade so call hygiene it mean it make it clean for consumption into decisioning systems the ability to extract insights from that data through new technologies that allow massive amounts of data to be processed at minimal cost in very short periods of time and the ability to deliver that data to the point of use these four elements of decisioning massive amounts of data the ability to structure it the ability to find the insights and the ability to deliver the insight to the point of use are all coming together at this same moment in time the way our lives will change is today we ask ourselves what decisions do I have to make what data is out there that I could use it won't be long before we say here's the decision I want to make I know that all data is available how can I ask the question of that ecosystem and get my answer I don't need to know exactly what I'm looking for I'll give you a few living examples these are systems that are operational for example the two major cancer institutes in the United States have assembled all the electronic data there's about 15 years of electronic data on cancer treatment of individual patients it's tens of millions of cases the best oncologist in these best centers when presented with a new cancer case say they can keep track in their minds of six to eight similar cases the system keeps track of 10,000 similar cases so today in this experimental lab the best oncologist in the world ask the system what would be the best course of care for this patient because for 10000 similar cases they know what the course of care was they know what the outcome was so we're today in the normal Cancer Center a experienced oncologist might think of 6 similar cases he would use this system to go in and look at those six cases to refresh his memory about what the course of care was and based on that and his kind of medical judgments would create a new course of care today the system will do that and do it better 85% of the time by the way that's in the best cancer center in the world I'll think of the power of that system in the worst cancer center in the world where the oncologist would likely have no similar cases that systems being deployed people are using it one of the interesting things I'm working on is when we have those health records on millions of people kept private in these you know very professional institutions we're in the process of marrying all the food choices those people have made for the last 15 years it's been about 15 years since when all of you go to the grocery and your products are scanned at the point-of-sale that data is captured and stored safe that's part of this just part of this five billion dollar five billion gigabytes a day of of content not yet used but available so think of it hundreds of thousands of people knowing exactly what food they consumed over the last 15 years the debate about food and health will be over there's no point to track a panel of ten thousand people when you can look at what everybody ate and what their health state was by the way in the initial findings of this and these these are just kind of fun findings before the data really becomes apparent there is some good news as we all suspect that fat doesn't seem to have any impact on health so if you leave with nothing else today you can take that good news away now and think about the way we're all going to think about this I'll give you one last example I'm going to show you a real system as our playing a couple months ago happened to be sitting next to a doctor can't a cancer doctor oncologist and he said to me that part of his treatment is to prescribe this drug that's not generally prescribed for cancer and I said why are you doing that this is a drug that's actually used for diabetes and he said because over the 20 years of his practice he's seen these patients come in who have the serious cancers that seemed to be arrested for no cause and when he saw that fact he went back on his own initiative and discovered that many of these patients happen to take this drug for diabetes that seemed to have an effect on cancer and what's he observe that he now prescribes it has had some remarkable performance so it's applying a drug created for another problem to a solution for a different disease and when you start to see what the big data ecosystem can do the thought it generated which of them the process of working on is to take all of the prescriptions written matching it with these food outcomes and systematically go through every drug for every disease state and identify all the drugs that have a benefit to a disease that disease is unknown that benefits unknown so what the doctor did in his own practice over 20 years methodologically we could do today for every drug every disease state by the way you would also find out the negative impact drugs had on diseases that the drug wasn't developed for so that's the way we're going to think about data whether you're planning a trip a ski trip to South America you won't be looking up flight times and hotels you'll be saying to the system I want to go to South America I want to do these things let me tell you about me and the system will plan the itinerary for you that people like you have used where they've had the best experiences so this will be everywhere

Channel: TEDx Talks

Views: 177,940

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Keywords: TEDxTalks, Computer Science, ted, Mathematics, ted talks, ted x, tedx talk, tedx, ted talk, English, Science (hard), Data Science, Relationships/Romance, tedx talks, Career/Life Development, United States

Id: 0Q3sRSUYmys

Length: 9min 11sec (551 seconds)

Published: Mon Sep 22 2014