peter: professor, what is this big data look like? netflix collects it all. apple with music collects this data. what does it look like and how do you parse it out? well, it is truly big data. imagine if i had information about every user's activity on my website. and i have the ability to codify and store that data, and then extract the data in a some meaningful use of it. amazon's recommendations. amazon says people who like this -- it is exploiting big data. i don't know whether you heard of this story that came out on the discovery list or discover playlist. what spotify has been doing is if you're a customer, it recommends you every week a list of songs that they believe you are going to like. the story was it became so popular with people. i was reading about how spotify does it. i won't go into technical details, but it's a big data exercise. who is listening to what. people like you listening to what. they use this very sophisticated program to figure out recommendations. what i'm talking about big data we are literally talking about the scale and scop

. >> big data, essentially, is the collection and use of massive amounts of data. g corporations are collecting all kinds of information about customers, about their business operations, about the actual processes in industrial environments and factories. about things their employees are doing. all of this data becomes a stock for these algorithms, the information they use to learn and figure out how to do things. that is something that is going to be dramatically disruptive going forward. narrator: the total data stored on the world's computers is believed to be well over 1000 billion gigabytes. big data is driving the most disruptive advance in technology -- the ability of machines to think. >> one thing you will hear people say is that computers only do what they are programmed to do. this is really not right anymore. basically machines are learning. we have this technology that allows smart software algorithms to look at data and based on that, to learn how to do things, to figure things out, to make predictions. it really is no longer the case that some human b

there is no such there was a big data in health and education and big data -- what i know i teach students. if i look at the demand for the courses that deal with the data, if that is any indication, it is an enormous. everybody wants to have that. because employers in the want to know can you deal with it. the you have the experience. even if you are a grocery form, a hospital, everybody realizes this information has a lot of intelligence embedded. do you have the ability to instruct -- extract that intelligence and use it in a meaningful way or improve the quality of our product and so on? is i don't know how big it but i think it is very big. rahul, co-author of "streaming, sharing, stealing: big data in the future of entertainment." [captioning performed by the national captioning institute, which is responsible for its caption content and accuracy. visit ncicap.org] [captions copyright national cable satellite corp. 2016] c-span, where history unfolds daily. c-span was created as a public service by america's cable television companies, and is brought to you today greater cable or sat

people assayed big data in throw that out there. hugh need to be shown why and how that's agrees it's you in the ways that you know, are true but having said that the example of how algorithms ironic we'll want to throw out that just imagine we had a really good big data algorithm, even if we did in ricans predict the future well, that is not necessarily a good thing in repeat will go wrong that in the hands uh your doctor for but of an insurance company who can charge you more that is terrible and finally imagine in the hands of wal-mart the employer can decide to tire or not because of the future insurance cost? that would be very bad. so there is no guarantee even if the algorithm is accurate. >> so those of algorithms terrify me so we just published a paper looking at people who are going to alcoholics anonymous there are clear profiles from before they start going to aa and can predict if 85 percent accuracy if they will stay sober looking at women in their twitter accounts according to produce seed in on-again their birth they

the combination of big data enabled that. this is the cost of generating megabit of data anti-speed with which we can actually transmit it. this is the foundation of social networking. notice when the lines cross. right around 2008. the price collapse and the speed took off right aren't 2008. this is moore's law. this is called computing. let's see, when did cog computing start? well, the first time we detect is in 2008. norneds, it started in 2007. what happened in 2007, friends, i think will be understood in times as the influction point since the printing press and we completely missed it because of 2008. what happened in 2007 is our physical technologies just took off like we were on a moving sidewalk in an airport that suddenly went from 5,000 -mile-an-hour to 50 miles an hour. we literally felt the ground moving from our feet and 2008 happened and all the social technologies we needed to go along with the learning, the adaptive mechanisms, the management systems, the regulation and deregulation all froze and we've been l

their relationship to the big data movement is that they kind of explained partly the power of big datas partly a response to the poverty of human intuition. just partly. but partly it is actually being able to create new information. partly it is a response to human limitations. charlie: take the people you wrote about in moneyball." did they know who these characters were? and the link between what they were doing and what danny and amos had done? michael: this is funny. it turns out, yes. paul who was the jonah hill character in the movie, he was the statistic geek that brad pitt brought in. in behavioral economics, self-taught which was spawned by danny and amos' work. advantage ofng these mistakes in the marketplace. and he realized there were categories of mistakes, kinds of mistakes, particular biases that the scouts were exploiting. he needed to know what they were. he was very aware of the work. via behavioral economics. the other channel of influence for "moneyball" was till james. he was the original questioner of conventional baseball wisdom published and is now world famous

on the back of that we're plugging everything into the iot ecosystem, and collecting big data, that's getting stored up in the cloud where things are more easily accessible, more secure from cybersecurity hacks and more energy efficient. these sounds like a lot of big buzzwords, but it's important because big data is the input for things like arrested ficial intelligence which amazon tends to dominate in. and ai is making us smarter about what to do with the big data, how to improve goods and services. if you combine that with other macro trends like climate change and demographics, that is take the uptake trajectory from something that used to be much more linear to something that is par b parabolic. >> i think most corporates know they have to do something to tackle the threat in sign oth cybersecurity. there's been a story about chinese hackers looking into the e-mails of lawyers on wall street, taking information and trading upon it. in 2017, where do you think investors should be chasing portfolios around cybersecurity? >> i think there will be more and more focus of cybersecurit

so the, their relationship to the big data movement is they kind of explain partly the power of big data, it's partly in response to the partly human intuition. partly. but partly it's actually being able to create new information but partly it's a response to human limitations. >> rose: take the people you wrote in moneyball. did they know the link when what they were doing and what danny and amos had done. >> this is funny. i wouldn't have known, i wouldn't have thought to ask them. it turns out yes. paul depodesta who was the stack geek that brad pitt brings in, billy bean brought into the oakland a's. he was steand in behavioral economics, self taught which was responded by danny and amos' work. what interested him, they are taking advantage of these mistake in the marketplace. and he realized they were categories of mistakes. there were kinds of mistakes there were particular biases that they were exploiting so they needed to kind of know what those were so he was very aware of the work. the behavioral economics. funny enough the other channel of influence in moneyball was bill jame

and kathy o'neill on methods of mass destruction, how big data threatens democracy. 2016 books on science and technology at 8 p.m. eastern on book tv here on c-span 2. book tv is on twitter and facebook and we want to hear from you. tweet us, twitter.com/book tv or comment on our facebook page. facebook do facebook.com/book tv. >> we want to introduce you to paul moreno, the author of this book, the bureaucrat kings, the origins and underpinnings of america's bureaucratic state. professor moreno on page one, the united states is ruled by an establishment nowhere mentioned in the constitution. what does that men? >> this is the so-called fourth branch of government which in a way is a combination of the other three branches, that's the heart of the constitutional problem. the original constitution was meant to be founded on the basis of separation of powers, probably the most important structural feature of the constitution. in the 20th century we developed the apparatuses, environmental protection agency, federal communications and most of this started with the new deal. they combined leg

instead of 400 page book about genomics or book about big data or about cyber or 400 page book at row boat counties -- robotics i tried to take these and more topicsics and pull them together and one place that is accessible. it's story, driven, though it does have data and research behind it. and again, i think it's a net optimistic work, and with that, what i would welcome is some questions on any topic related to this, or related to my service with the state department. if you could just for the television cameras, please ask your question from the microphone here in the front. yes, ma'am. >> thank you very much for writing this book. could you tell us a little bit about oh you got to go to 41 countries and -- bus the reason that i think that is interesting is because japan and south korea and many of these countries are doing really advanced research in the future industries, and so i'd like to know how did you get that opportunity and what did you discover in some of these more advanced countries. >> thank you for asking that. the 41 countries i traveled to while i was at state d

we wanted to go after the big data problem. we wanted to go after industries.nted to help humans that were basically in this cognitive overload because of information, and we wanted to help them make better decisions. charlie: is any of this scary to you? john: not at all. charlie: all-powerful artificial intelligence, knows where we are, what we are changing, and some suggest one day may control us. john: it only knows what we feed it. charlie: is it possible for it to be more powerful and the person who fed it? john: who we are and the things we bring to decisions that watson can never do. every new technology, everybody will have some fear of what it could do. locomotive trains. they are going to accelerate forever, and we are going to be in trouble. the way i look at it is what is the cost of not pursuing there? there is no other technology that is going to help us find better cures for cancer and treat things per than watson. it will always be limited by the information we feed it and the interaction with humans. charlie: i know a lot of other people who h

big data was rap star, and skype was a typographical error.ughter] all of that had happened between just 2005 and 2011. of course, only when i wrote this book did i understand it all really came together in 2007. and what produced that? another price collapse. only this time it wasn't the collapse of connectivity, the it was the collapse in the price of complexity. we made computing and storage so cheap that we could make complexity fast, free, easy for you and invisible. think of what it was to catch a taxi five years ago and what it is today, what you can now do with one touch. you can page a cab, direct a cab, pay the cab and rate the cab. massive amounts of complexity have now been abstracted away, and it's happening everywhere. it is like a phase change from solid to liquid. it's putting grease and leverage in everything. so when you make connectivity free, fast, free, easy for you and ubiquitous, and you make complexity fast, free, easy for you and invisible, you get an incredible release of energy that changes four kinds of power, and t

we wanted to go after the big data problem. we wanted to go after industries. we wanted to help humans that were basically in this cognitive overload because of information, and we wanted to help them make bet decisions. >> rose: is any of this scary to you? >> not at all. >> rose: all-owferl artificial intelligence, knows where we are, what we're doing, what we're thinking and some suggest one day may control us. >> it only knows what we want it to know, what we feed it. >> rose: and is it possible that we can make it so powerful that it's more powerful than the person? >> there are certain attributes that what we humans are that watson will never be that. >> rose: like what? every technology, people have fear of what it can do -- electricity, locomotive trains, oh, my god, they will accelerate forever, we'll be in trouble. the way i look at it is what is the cost of not pursuing this? there is no other technology that's going to be able to possibly help us find better cures for cancer, treat patients better than a system like watson. we must pursue this techn

potential acquisitions could make didny more of a sports big data, machine learning. this stock has traded much higher in the past. the current shareholders already know about the espn down side. oh, and disney pays a very high corporate tax rate, making it -- you guessed it -- a trump stock. next, who wants to sell verizon here? i sure don't, even as it's climbed 11% since the election. the stock never should been wallowing in the 40s to begin with. how about chevron? up 10% since the election. do you really want to sell this 3.6% yielder as the price of oil keeps higher? you want to bet against fossil fuels with the most pro-fossil fuels president taking office since warren g. harding? then there's caterpillar. you believe in trump's $500 billion infrastructure plan, tell me that isn't music to the ears of cat's potential shareholders. unlike many stocks in the dow, caterpillar is nowhere near its former highs. which brings me to the real leaders, the financials. goldman sachs and jpmorgan. these stocks are so far behind the market for years meaning they've been lef

. >> i'm most excited about the possibility to use big data. >> in the a cure in its self, he says it opens a new door. >> remarkable. the team believes they'll be able to test treatments for the family using the same beating heart cells in the lab. >> incredible. >> the bay area is a festive place to live. >> we want to see the holiday spirit outside of san francisco. #abc7 now to your pictures. >> cooler air filters in. taking you down into the peninsula. just light showers at this hour. into christmas day, it's going to be a cold morning. and clouds so no issues, turning milder before friday. >> thank you. >> do you think santa gets around this time of the year? you should see steph curry. >> no rest. last night, brooklyn, tonight, detroit. look at this >>> last time warriors were in detroit, they lost to pistons, one of the few losses they had last season. tonight back in motown with draymond green. reggie jackson high off the window. stef with another pass here behind the back and looking for another flush. they're late in the fourth quarter and tied at 107. both teams come in wi

. >> quest diagnostics the lab company says it's investigating a big data breach. it exposed the personal information about about 34,000 people. eye wetness news reporter joins us with more. good evening. >> reporter: well, yukee, good evening to you. more than 30,000 people as you mentioned have been compromised. their personal information is somewhere out there and right now many are left to wonder if their information is ever really secure. on november 26th, the data security breach at quest diagnostics compromised the information of 34,000 people. >> i think it's unfortunate but it looks like we don't have a foolproof way of guaranteeing everybody's cyber security. >> quest diagnostics has discovered an unauthorized third party accessed the internet application and obtained protected health information. information like name, date of birth, lab results and some phone numbers. the compromised data did not include social security numbers, credit card information or insurance information. the news is raising some concern among folks we spoke with. >> it's happened

. >> quest diagnostics the lab company says it's investigating a big data breach. it exposed the personal information about about 34,000 people. eye wetness news reporter joins us with more. good evening. >> reporter: well, yukee, good evening to you. more than 30,000 people as you mentioned have been compromised. their personal information is somewhere out there and right now many are left to wonder if their information is ever really secure. on november 26th, the data security breach at quest diagnostics compromised the information of 34,000 people. >> i think it's unfortunate but it looks like we don't have a foolproof way of guaranteeing everybody's cyber security. >> quest diagnostics has discovered an unauthorized third party accessed the internet application and obtained protected health information. information like name, date of birth, lab results and some phone numbers. the compromised data did not include social security numbers, credit card information or insurance information. the news is raising some concern among folks we spoke with. >> it's happened

they need to know about beyond the tech literacy, data analytics, big data. they need to know about the human interaction, what i call the human literacy. you are here at leaders. you didn't become leaders because you were great engineers only. >> that does help, by the way. >> that is specially for you, wes. you knew how to lead people, how to motivate people, how to understand people. that's what we are not doing well enough of. the second aspect that i want to discuss with you, wes, here is that i am afraid that we in higher education are giving up an enormous opportunity. there are new ideas and jobs that are coming to the floor and the jobs are becoming obsolete. people have to retool and define what they do. the notion of lifelong learning is with us. higher education looked at lifelong learning as something very peripheral. we don't want to touch it much, because we want to focus on 18-22 on the grads. we want to do research in ph.d.. but don't talk to me about lifelong learning. this will bring down the brand. we are coming like the rail weigh-in dora

where is big data. robotics. nan o technology. the bio sciences. it's not occurring in los alamos. it's occurring out in the commercial sector. now, we can refine it and adapt it, but just as in the 1920s and '30s, the keys, i would say there were three keys in terms of who wins and loses. the first one was identifying, what are you trying to do. what is your purpose. so, the purposes of germany was to win a quick war against germany and france. different problems with different countries. different objectives. and what dif wrennuated, number one, trying to identify what you're trying to do. i would say today, what we're trying to do in terms of u.s. japan alliance is defend the first island chain. if you don't know what your going to do, the it's hard to leverage technology in a a way that makes it most effective. so, for example, the german military leverages aviation, mechanization and radio. the american and japanese navies take some of that same technology and build their task carrier. long range radio, radar, aviation and so on, because they have a different objective and the

. >> i'm most excited about the possibility to use big data. >> in the a cure in its says it opens a> remarkable. the team believes they'll be able to test treatments for the family using the same beating heart cells in the lab. >> incredible. >> the bay area is a festive place to >> we want to see the holiday spirit outside of san francisco. #abc7 now to your pictures. >> cooler air filters in. taking you down into the peninsula. just light showers at this into christmas day, it's going to be a cold morning. and clouds milder before friday. >> thank you. >> do you think santa gets around this time of the year? you should see steph curry. >> no rest. last night, brooklyn, tonight, detroit. look at this did you know slow internet can actually hold your business back? say goodbye to slow downloads, slow backups, slow everything. comcast business offers blazing fast and reliable internet that's 10 times faster than slow internet from the phone company. say hello to internet speeds up to 150 mbps. and add phone and tv for only $34.90 more a month. call today. comcast business. built for

and hillary's campaign guide is at 35-year-old big data guy and they laughed at bill clinton and they said that's aging. that's the old way. the new rightists are good enough on its voter base and stuff. so now we've had two democrats who lost basically because they didn't listen to bill clinton. what are they going to start listening to him? >> so what do secretary clinton do next? what did she say to the american people if she should say anything at all? >> i don't know. she is going to have a whole new chapter and i'm sure she will have a wonderful job. she is going to end up winning the popular vote a couple million. as al gore, saving the planet, i am sure she will take our passions and do something wonderful with them. someone in our chief political correspondent was saying today the fact she is winning the popular vote by so much will make it hard for trump because he will always be seen by a lot of people as a little bit illegitimate. [applause] >> just a little bit. you told charlie rose that you used to call political strategist to understand campaigns, but this campaign has

say to them, you have to pay more attention, and robby mook, hillary's campaign guy, a 35-year-old big data guy and he -- they laughed at bill clinton and they said, oh, he's -- the paging -- that's the old way. the new way is obama's voter base and so on. and now we have had two democrats who lost basically because they d. listen to bill clinton. when are they going to start listening to him? >> so what does secretary clinton do next? what what does she say to the mesh people beyond the concession speech if she should say anything at all? >> guest: i don't know. i'm sure she can -- she is going to have a whole new chapter, and i'm sure she'll have a wonderful job. she is going to end up winning the popular vote by a couple million. >> two million plus right now. >> and as al gore, saving the planet, i'm sure she will take her passions and do something wonderful with them. and someone -- our chief political correspondent was saying today the fact that she is winning the popular vote, by so much, will make it hard for trump because he'll always be seen by a lot of people as a little bit ille

. >> they need to know about -- beyond the tech literacy, data analytics, big data. they need to know about the human interaction, what i call the human literacy. you are here as leaders. you didn't become leaders because you were great engineers only -- >> that does help, by the way. >> especially for you, wes. but because essentially you knew how to lead people, how to motivate people, how to understand people and that's what we are not doing well enough of. the second aspect that i want to discuss with you, wes, here is that i am afraid that we in higher education are giving up an enormous opportunity. we are in the middle of an enormous revolution, there are new ideas, there are new jobs that are coming to the fore, other jobs are becoming obsolete and people have to retool. people have to refine what they do. the notion of lifelong learning is with us. now, higher education looked at lifelong learning as something very peripheral. we don't want to touch it much because we want to focus on the 18 to 22 undergrads, we want to do research and ph.d. but don't talk t

big data is a favorite thing for people to talk about. what are you doing with that big data?n you do with that big data? cathy: we can do a lot. the future of the firm depends on us doing more. today, we do simple things like amazon, try to anticipate what we might need next. try to ensure the operating we have is right in front of you when you wanted. -- the offering we have. the large corporations, we can amass data and research in a way that gives our corporate clients a competitive advantage. we are trying to be better at that. the uses of the future will go way beyond that. david: does this expand the top line or save costs? cathy: it should do both. it should produce revenue opportunities which are very important in a business like ours. that thin margin and heavy capital we all carry has to be patient. and the side of things cost take-out opportunity that comes from technology and productivity is the way i think about it. the cost take-out capability helps us bring tough to get revenue to the bottom line to create shareholder proposition that actually works. david: giv

to remind them that 702 has a lot of safeguards, and if they want to look at nsa surveillance and big data which is an important , issue i agree the guidelines , are equally or more important. they should be focused on executive order 12333. we should be focused where there is less oversight. that is part of my point. 702 is only about data inside the united states. that is why you have to go to the fisa court there are these , oversight methods. the other, much less oversight as long as they are not targeting u.s. citizens. there is a time data all over the world these days, so, you know it is still a little , screwy. yes matt did a lot of jobs to in certain ways but it is still screwy have a law treats data not , only sensitivity or whether it is based on physical location of the data. in a globalized world, that doesn't make a lot of sense. >> you made the point of 702 providing the intelligence community rich repository of information that could save lives. it also comprises a significant portion of the president's daily briefing. we have been told. president-elect trump in a , lengthy

data aggregators. what companies do is they are the kind of big daddy, the big data grandfathers, they collect information from various sources all over, all of these traces, the aggregate the data and supposedly they sell it to a lot of these direct marketers and consumer profilers. so we also have government. and thanks to some of the things that have happened over the past couple of years, the disclosures , the individuals that decided to leak information, we know that various government agencies are looking at this data. our concern about what is happening online. using some of the same information that the marketers and consumer profiling people are doing, and using it for investigation. using it to try to determine the next terrorist attack, using it to determine, is somebody going to commit a crime or has committed a crime. and then you have others, the cell phone companies collecting information, supposedly for engineering purposes, for purposes of troubleshooting networks, publishing, this is information that while it is used for those purposes, says a lot about where you are, what you have done

. >> the thesis is the big data instead of having to be domiciled in the silicon valley platform it will be increasingly commoditized. >> two more questions.yizes. >> my question is a political question. you work for hillary clinton. what is your impression?s in a h i hope she's in a hotel room. with c-span on and listening. i think given what i've studied at the industries of the future i think it is pretty clear that we need a competent and intelligent person who understands and is passionate about the well-being of parts of the working class who are going to be stretched and streamed by the development in theseand industries, and i think she is perfectly suited to do it not just because she cares. i think bernie sanders cares about the working middle class and marco rubio cares about the working middle class but as a practical matter, you have to be able to come up with policies sp that somehow position people to be able to compete and succeed in having worked at the elbow for four years in muscatineour r worked for far longer she had that kind othe kind of disciplid of intellectual r

use smart lamp posts to monitor crowds and big data to refine the way we live. >> everything happensbe an implication from amsterdam. >> >>> a lot of people thinking it is a joke. cities filled with people and we are not tech saavy. so the smart team really does not know what to do. it is becoming a negative category. >> interesting. that's a problem. >> there is that tension between old fashion concern and modern creativity as they carve out new ways of learning. i am wondering what other lessons we can take or what the rest of the world can borrow or steal. t now with 30 brands and over 100 countries, the wonder list. >>> the world is full of surprising moems. moments. they are everywhere. i can embrace them all. the new marriott portfolio of hotels now has 30 brands in over 110 countries. so no matter where you go, you are here. join or link accounts at members.marriott.com. zero really can be a hero.ds) get zero down, zero deposit, zero due at signing, and zero first month's payment on select volkswagen models. right now at the volkswagen sign then drive event. ...one of many pie

you are working with google and well,, a company we know to use big data and analytics to find a high valued targets. jeh johnson: i am not sure that i would put it that way. we have a good relationship with reasons ofctor, for building cyber security there isies and efforts we talked about. i am encouraging the tech sector to work closely with us for cyber security purposes. it is a delicate relationship something we need to continue to work on. david: the questioner was thinking about extremists in the homeland who are identified syria.ata analytics in johnson: all the internet providers have terms of service and things that are prohibited, in terms of content. we have been working with and encouraging service providers where they find it. exercise,difficult sometimes like chasing a rabbit. it is out there in a flash and it is all over the place. i gave a number of internet service providers credit for taking this stuff down. the flipside is that i would like to see the internet service providers help to amplify the isil with acounter positive message on how they could channel their

to use the big data analytics to find high-value targets? >> i'm not sure that i would've put it that way. we have to homeland security for the reasons of building up our cybersecurity capabilities information sharing with them. some of the efforts that we talked about was not responsive to the question but i am encouraging in my current role to work more closely with us in sharing information for cybersecurity purposes with our end kick. it gets a somewhat delicate relationship and it's something we need to continue to work on. >> i should have noted that the questioner was thinking in particular about extremists in the homeland who might be identified using the data analytics and not just people -- all these internet service providers have terms of service and things that are prohibited in terms of content. we have been working with and encouraging internet service providers to take down prohibited contacts. that's a difficult exercise because sometimes it's like chasing a rabbit because the way the internet works nowadays it's out there i

you are working with google and amazon, a company we know well, to use big data and analytics to find a high valued targets. jeh johnson: i am not sure that i would put it that way. we have a good relationship with the tech sector, for reasons of building cyber security capabilities and there is efforts we talked about. i am encouraging the tech sector to work closely with us for cyber security purposes. it is a delicate relationship and it is something we need to continue to work on. david: the questioner was thinking about extremists in the homeland who are identified using data analytics in syria. jeh johnson: all the internet providers have terms of service and things that are prohibited, in terms of content. we have been working with and encouraging service providers to take down a prohibited terrorist content where they find it. this is a difficult exercise, sometimes like chasing a rabbit. the way the internet works now, it is out there in a flash and it is all over the place. i gave a number of internet service providers credit for trying to take this stuff down. the flipside

you workingy, are with the tech industry, google and amazon, a company we know well, to use big data and analytics to find a high valued targets. jeh johnson: i am not sure that i would put it that way. we have a good relationship with the tech sector in homeland security, for reasons of building cyber security capabilities, information sharing with them. the cbe efforts we talked about. i am encouraging -- this is nonresponsive to your question -- i am encouraging in my current role the tech sector to work closely with us for cyber security purposes. with our end kick. it is a delicate relationship and it is something , we need to continue to work on. david: i should have noted the , questioner was thinking about , in particular, extremists in the homeland who are identified using these data analytics. not just people in syria. jeh johnson: all the internet providers have terms of service and things that are prohibited, in terms of content. we have been working with and encouraging service providers to take them prohibited, terrorist content where they find it. this is a difficult e

. >> i have this concern that data, big data has been instructive in american politics.asion. is that part of the problem? that's the world series. it's sort of like we had thrown or at least the campaigns moved post polling when the an lytics is not ready yet. >> they are all demo graphers and they don't persuade a single soul. >> president obama is a different person than hillary clinton. and to expect the same kind of turn out dynamics is fundamentally a mistake. >> what should the party view the role of the chair next year. how should they view that? that makes it the most effective way to go. >> i have a lot of democratic operatives. i think when howard dean tried to do the 50 state strategy and it was goofy. the thing about it is the party needs to actually be working physically in lots of places. it reached into a lot of places. the idea was to have a national campaign and a national party. right now it doesn't look like a national party. say what you will. 06 and 08. bad political years. >> i get trashed by people in the party infrastructure. >> they didn't get a

let's talk about big data today that came out of china. it had a ripple effect across the rest of the world. the stabilization seems to be holding, offering policy makers time to switch from stimulus word curbing financial risk. industrial production climbed 6.2% versus a year earlier in november ahead of estimates. that is the blue line. the white line is retail sales, climbing as well, 10.8% last month, the biggest gain since december. investment increased 8.3% in the first 11 months of the year. the economy, the world's second-biggest, showing signs of stabilization. vonnie: thanks. president-elect donald trump has picked exxon mobil ceo rex tillerson to be secretary of state. a wide variety of reaction. isdoleezza rice says the ceo an excellent choice for the job. republican senator of florida says he has serious concerns about rex tillerson's ties to russia. we are joined from trump tower , withn manhattan endorsements of the like from condoleezza rice and dick cheney, is it fair to assume rex tillerson will be a hawkish secretary of

hypersonics, big data analytics, open system architectures, autonomy, big energy, on and on. and we're demonstrating a lot of those technologies right now, not only lockheed martin who i work for but our competitors and teammates across the defense industry. i believe we have a qualitative advantage in the technology today. the question is how do we field it more quickly, i believe. and when we look at the adversaries we face around the globe, a lot of this is presence. we're talking about western pacific, eastern europe. in order to enable that presence we do need substantial force structure that has been on the decline for many years now. and i think that's one of the big challenges, is transitioning this technology to a larger force structure as we move forward. that will in my view enable us to maintain the qualitative advantage across the globe. >> a response to that. i think while we're sitting here, we have a fundamentally like strategic problem. while i'm very sympathetic about the need for acquisition reform, i believe the need for that, we've seen some positive step

one part is the nsa big data collection. >> that's right. john: you have opposed this.nd i have taken heat from libertarians because i say, what obama says. it is just he metadata it is not your personal phone call and it might stop terrorism. [booing] educate me. >> the government's collection of metadata is just as dangerous as its collection of content. if the government were collecting content i would think that that's a bad thing but metadata is actually bad. people need to understand with metadata they can figure out what you're doing throughout your life. they can figure out who you're calling. figure out whether you have a medical condition. think about all the phone records that you have and all of the ways in which the government can decipher based on who you're calling, when you're calling them and how long you're talking to them, what you're doing each day. john: fellow republican, former house intelligence committee chairman, said, this program is used to stop a terrorist attack in the last few years. people do want to kill us. >> there are people on the in

big data to refine the way we live. >> everything that happens in the city, application and the app storerspective. >> some worry about unintended consequences. >> the smart lamp post is replacing the person guarding on the street. to a lot of people this is progress, a sign of progress, automation, but to a lot of other people it means a loss of job. but the city is filled with people, so we're not tech savvy, and so the smart scene doesn't really know what to do, actually, with these people. they've become a negative category. >> interesting. >> that's a problem. >> there's that tension between old fashioned concern and modern creativity. as they carve out new ways of living, i wonder what other lessons can we take? what other bits of dutch innovation can the rest of the world borrow or steal? the world is full of surprising moments. they're everywhere. and as a marriot rewards member, i can embrace them all. the new marriott portfolio of hotels now has 30 brands in over 110 countries. so no matter where you go, you are here. join or link accounts at members.marriott.com. oh, that's lov

so don't take any comments i was making and my colleagues are making that we don't understand the big data than all the words used around that and distribution of it is not critically important. >> so the christians and disruption model is all about having a cost advantage. you guys represent collectively kind of different evolutions so which structure, global has the best cost structures. >> whichever one you represent. >> exactly. >> i would say it is an ecosystem. i don't think cost is to define her of what differentiates and makes one better than the other. what we have learned in the last couple years is everybody has put an ecosystem play in efficiency and the schools about leverage all our business models. they at the end of the day had differences are important to our customers and i see it as a continuum, not as one over the other. >> i think that's a great answer. one more question. >> bats, brian, bill, bruce. thank you very much. [applause]

where is big data, robotics?t is not occurring in los alamos, it is occurring in the commercial sector. we can refine it and redirect it. but just as in the 1920's and the 1930's, there were three keys in terms of who wins and who loses. the first one is identifying what you are trying to do. what is your purpose? and so the purpose of germany was to win a quick war against poland and france. britain to af great extent was to defend itself from strategic aerial attacks. different problems for different countries. different objectives. what differentiated them was number one, trying to identify what you are trying to do. i would say that today what we are trying to do in terms of the defendpan alliance is to the first chain. ofermine china from acts coercion against the first island change. if you do not know what you are going to do, it is hard to leverage technology in a way that makes it most effective. for example, the german military leverages aviation, mechanization, and radio to create blitzkrieg. the ameri

people come data people, big-time responders to data and they just bought for $100 billion. that is a bet on africa in terms of where they think some of their top line growth will come in the coming years. also, talks about how the trade dynamics will trade quite conservatively from extract is to consumer and other types of products. the numbers are there. you don't have to look out to five to say the top three most populous countries in the world are in africa. you know, lagos and can/are two of the largest cities in the world, you know, in the coming decades. i'm from south florida so i get a lot of cuban talk all the time in my house and in my neighborhood. my response is always i love cuba. i love to visit cuba, that the gdp of legos is about equivalent to cuba and that gap is not going to narrow. nigeria has another 20 cities that are going to have more than a million people, a million consumers. when i look at those demographic trends, economic growth trends, it is going to drive a lot of the large corporate and their behavior and i think that is going to follow and cr

market likes the cloud again, likes gaming and big data.nal computer. microsoft has all. you can pile in knowing it is a winner and on lower taxes. do you mind if i don't walk over and say trump stock? i'm fired. if 20,000 dow is in the cards, these are the stocks that will get us there. >> trump stock. >> thank you. but notice how many are based on stories, right? i mean it is what i just gave you, it is fansively, doesn't matter, people want dow 20,000. truth is i don't think we have the fundamental under pinnings to reach 20,000, at least next week. but this stories i outlined will are to get us there. stick with cramer. ♪ ♪ get up to $2500 customer cash on select 2016 and 2017 models for these terms. see your lexus dealer. and her new mobile wedding business.tte at first, getting paid was tough... until she got quickbooks. now she sends invoices, sees when they've been viewed and ta-da, paid twice as fast! see how at quickbooks-dot-com. >>> i like to say there's always a bull market somewhere and i promise to try to find you for you on