so like i robot, the company that has the robot vacuum is collecting data about the home, the physical space. are you hearing from brands that they want certain data about the home itself? >> it's a fine line. and actually, it's something that -- it's not required. you don't have to have personally identifiable information, you don't want to go there either. what you really need are the characteristics and traits that help you understand general direction of interest. that way you stay away from the personal space and the intrusion side of things. you look for things anonymous. you can take it into a space where you can create communication without getting too involved in their personal items. >>> press here continues after the break. >>> the dating website e harmony accounts for 4% of the marriages in the united states. e harmony has been around forever by internet standards. in that 20 years it's been able to capture taeaara bites of dat about what people want in a spouse. i'm going to ask you the question i know you get asked at every party, did you meet your wife on e harmony. >> i

and those a the corrected income data, corrected are the ones where the administrative data is substituted for the err- riddled survey results for we have jim sullivan who has argued that the looking at consumption data is conceptually a better way of looking at well-being than reported income. we conjectured and i will quote our brookings paper from012 "the two most plausible explanations for the difference between the changes in income and consumption poverty are measurement errornd saving to saving. there is conderable -- it is important for families with few resources and transfer income particularly relevant for these families, signifintly underreported in surveys and the extent of this underreporting hagrown over time." there's a lot of silarities with the findings in the papers here. the figure on the fourth page of the handout, there were reported consumption povertmeasures for men and years and the past 30 you will see that when you look circles which are or the open triangles for women, those numbers start to diverge and show lower poverty rates and sometime around 199

we do have something to go on with the data. unfortunately, we have become much better at observing when it is then in the past. if you look at the long record of tornadoes, there is generally an increase in the numbers, but that is because we probably are able to communicate what we see and there are just more people paying attention. we have a population bias. this graph clearly shows this population bias. this is distanced to nearest city center. this is the number of tornado inorts scaled by an area square kilometers. so this is within 10 square kilometers, a function of distance from a city, every city. this is every city. and you see a higher rate, tornadoes, and 1.4 per 10 square kilometers and near the city to less than one, about .8 from the city. if you want to go out and say cities cause tornadoes, you can get front-page headlines, right? but am clearly, you probably want to step and say, is that the causal mechanism? maybe i have this backwards. it is likely that this is due to the fact that there's people say that th

together with the models in the data so i try to combine. i'm going to talk about two theories today, thermodynamics and i'm going to talk about distance. the two theories that allow us to get some answers about what hurricanes might be like in the future. okay?so you probably aren't a statistician so i'm not going to go that the but these are the deep structures in which we can hang our hats on to try to understand what it might be like in the future. so we will start with thermodynamics. this is my thermodynamics slide from popular dynamics that basically describes how a hurricane operates. all you have to keep in mind is a couple prepositions. the first one is in, the second one is up and the third one is out. in, up and out. that is the circulation of a hurricane that you are probably not aware of because you think of circulation like this. you think of these things like spinning and that's the wind is going to destroy your home, produce the surge, flood your house but that isn't the circulation that thrives the hurricane. it's the in, up

we also help them use the sales force clouds much better by bringing in data from all over the cloud other ecosystems into sales force. >> let's step back we've covered amazon we checked off sales force i think people are saying, jim, you had data, you've had adobe on, they said they are a people that can help you with data. why do you choose informatica over everybody else? >> tableau is a great tool for visualizing data, but the data has to get there in the first place. that's what we do is really provide all of the data supply chain. we call it enterprise cloud data management the idea is to bring the data from wherever you have it, your data, third party data, or data you're buying, bring it together in a format that can be used >> he's done a great job. >> he's done a phenomenal job. we bring the dat a. and they help the customers use the data to good effect. >> how ag not tick are you if a big customer says, we're on amazon, but we're also on azure. are you okay >> we're perfectly fine. we partner well with sales force, amazon, azure, google anybody in the analytic space. we bri

deny all the data? seems. turn off the wi—fi? deny all the data ? how seems. turn off the wi—fi? wi—fi? deny all the data? how do you do it? i am not a parent. sol the data? how do you do it? i am not a parent. so i don't know. what should i do? well... what do you do? not to make silly analogy is with junk food. that is my first suggestion. —— analogies. what is junk food is in the eye of the beholder, the consumer. like a mcdonald's... beholder, the consumer. like a mcdonald's. .. don't advertise on here. he should eat good and healthy food. not with every meal... oh dear. this is about children going on social media too much. i am on quite a lot. that is because i enjoy it so bytes do you put it down and read a book from time to time? not really. don't you? a book? you can read that on your phone.” really. don't you? a book? you can read that on your phone. i like a proper book with proper pages. i am really old—fashioned, aren't i? my poor children. no wonder they spend all their time on social media. well, thank you, ruth. you can really fall out with some people, can't you

from the german data side. nt is today? >> you get the german breakdown first, the day before and i have today's release. we have got some of the good news from yesterday. the market will be looking for a good number. the market is trying to inflation.the ecb they're asking themselves in september will the ecb signal a return to normalization and tapering of the quantitative easing policy in the new year? the consensus feels to me they thought it would be september but perhaps they might delay this decision to october or december. manus: why do you think there might be a desire to delay? hard to get consensus on the council because of the rise of the euro. we are long the euro for many structural reasons but with that, it does to press inflation . when you have a stronger currency it reduces the cost of imports and inflation starts down. because of the rise of the euro since the french elections ecb's forecast on the two-year horizon will have to be revised down by 0.3%. it is hard to make a hawkish step in sept

is the key wipe that the method data show the method data showed that on the fifth of july last year. information was copied onto an external storage device like a thumb drive at a speed that was so fast they could never have been a hack it had to be a copy and only and that's you know you know physics and the capabilities of the internet the known capabilities are at that time you know why and so we said wow let's see if we can research this and so we have in-house capability it won't quit we have bill bill. kurds we'd be it others you know their previous n.s.a. technical directors and well kinds of stuff like that i would trust their expertise in this matter of little bit certainly would be a fortune in their own ways so you want the data said was it was this idea that when it was it was copied at a speed that could have only come from having a direct connection to that server at that not only that the method data also showed where it was done guess where where the eastern time zone. and russia not the other will stalk me washington or bangor miami the eastern time zone eastern day

i called the hearing of the subcommittee on consumer protection safety and insurance data security to order. as our title suggests the subcommittee exercises wide jurisdiction over a diverse range of topics. this will be our first hearing this congress to examine matters related to insurance. today, that of insurance fraud specifically. thank you for our expert witnesses who joined us and insurance fraud is a major concern not only for insurers who bear the cost of fraudulent claim payouts for consumers who see those costs pass on to them in form of higher premiums. this hearing will examine the scope of insurance fraud in large in the united states and the drive address broad trends in property and casualty and life insurance. insurance industry has an enormous presence in the united states and there are nearly 3000 poverty and casualty insurance companies across the united states and 850 life and health insurance companies. together they generate over $1 trillion in premiums in 2015, alone. the fbi reports that the sheer size of this industry makes it an attractive target for crimin

the data we got is not surprising in terms of their anticipated warning. the only thing that is interesting there is that week believers are not at 1.0, they are at a six here's what we did that's internet relevant and finding out how people process information. we randomly assigned people to one or two conditions. in the good news condition, you're not going to have a mouse in your house. you are better looking than you think. we told people, actually scientists have come in with some terrific news. the situation of the climate is better than they thought. the likely increase is 1 - 5 degrees. stuff like that are on the wall street journal all time. we gave the other half bad news. scientist have tough informatio information, it's worse than we thought and people are getting that on facebook and the new york times all time. getting the good news, their estimate fell from 1.6 to 2.6 and given that the baseline is low, that's very dramatic. they really enjoyed getting the good news. getting the bad news, they were unmoved at all. zero impact. in terms of soc

just play with the data that is the caveat. >> globally the partners to research but then the data that was used by the insurance agency is increasing in the area so d.c. then using that in those ways?. >> it is not simple to answer but about the people that i work with but he is that the proper distance from the. we're not friends but we are good colleagues but i pay attention to his work than he pays attention to mine. i have worked with those of the hurricane area looking at the coastal lakes or the marshes with that evidence of the over wash deposits to get the sample air in the deposit with that episodic event. but i tend to be fairly isolated my a expertise keeps me somewhat isolated. i work with a guy named greedy who tried to redefine tornado alley to include the south. not the coastal south but the big south so the second question, i have worked quite closely and not paid by them directly but they pay a lot of attention to what i do. i think first of all, with tornadoes they tend to underestimate the risk. if you look at insurance policies with of rest of your house being hit b

increased stocks assessment funding and the need to collect the data, and one of the best investments that administration can make in u.s. fisheries. data availability continues to be one among the greatest challenges for the management of recreational fisheries. and changes to the n.o.a.a.'s programs have only been partially implemented and little to increase catch estimates. they do not provide the data needed for reliable monitoring. addressing this problem will require increased sampling rates which can only occur with increased funding. we recognize that strategic planning is necessary, it creates unfunded mandates for the council. we should fulfill existing regulatory requirements before any new mandates are required. finally, i believe it's important to acknowledge the supportive relationship between the councils and national fishery service. the regional offices and science center are critical to our process. it's unfortunate that mr. oliver decided to transfer to the second best part of the partnership, but we look forward to working with him in the future. again, thank you f

this gives us a limiting intensity from the data. from kerry emanuel theory of thermodynamics we can work out the maximum potential and from statistics we can work out out, we have two different intensities. let me try to put this together. have limiting intensities indicated by this red line here. we take our hurricanes of the last set of years and we can look at how strong they got. this is how fast they are rotating in meters per second. then we can just plot them and you can see these black dots represent that curve. notice what happens to those black dots. they start to flatten out. at some level you can't get a stronger hurricane. that level here for this set of storms as right at 75 meters per second. that's what i mean by limiting intensity. that is a brilliant statistical theory. it tells us about what is the maximum you can get given the set of values you have. think about that. think about it. if i take 30 people in this room might now if i measured the , height of every one of you and then ranked them from shortest to tall

terms of the data are not the terms of our reality. talk about sexuality and race we think of these things a sister met -- asymmetrically ourselves with that is the way we negotiated with the government doesn't try to put you to those legal procedures it is just trying to find to effectively understand the targeting mechanisms from nsa for jsoc is a what they fake israel but what is useful for them so one way to see this example is through the idea of gender and marketing so i ask my clients that mall negative class is the students so what gender does google think i am? they seriously go through google preferences and find out the idea may be google this is a coup you are is who you are. it is funny as the 65 role of women but it is not necessarily an accurate because it says i like to view the and fitness i have no idea how that was developed. [laughter] but to save those connections they are trying to make in terms of a pattern of behavior they're just trying to find commercially they don't want to know what exist or how to underperf

you mentioned the construction data was weaker there. if you look at the pmis, the weakness in the construction data has been in the commercial sector i think some of that is brexit related. so i think the brexit uncertainty is feeding into the data having an effect on sterling and keeping it on the weaker side. >> just want to show you once again to our viewers, sterling/dollar inching off the day's lows but increasing somewhat after the better than expected industrial production data now changing hands at 1.2978 what would it take for sterling/dollar to go back to the 1.32 levels that we saw just a week or two ago? >> i think there's a couple of key levels there's the recent highs that is related to interest rate expectations you've seen interest rate expectations fall back, so the first rate hike is now priced for the beginning of 2019 opposed to the middle of 2018. so i think that's behind the fall in the short-term and then longer term i think to get any kind of meaningful momentum on sterling upwards, in reality you need clarity on

the more data we can get on this the more data we can get on other aspects of the act are helpful for planning purposes. >> and dr. oliver, on the question of illegal, unreported, unregulated fishing in the united states, noah issued its final rule in december of 2016. can you give us a little bit of an update as to implementation of the rule and what the pace is for scheduled implementation in january of 2018. january of 2018. >> i don't have any more to say on that. if there are more specific questions that you have, i will be glad to follow up with you. >> for the record, it would be important first understand what noah believes the state of play is come in terms of illegal fishing, seafood fraud, it does harm to our fishermen in a significant way. so if you could provide that information it would be helpful. >> absolutely. >> mr. oliver, let me pick up on the line of questioning the chairman sullivan was pursuing during his time. that is saltwater recreational fishing. you mentioned on page two of your testimony that noah fisheries will partner with the national summit in march of

and for whose benefit have you got the data? e, wouldn't it? on the other hand, responsible companies want to have a trust and confidence relationship with customers. they want customers to feel confident using their systems. if we lose customer confidence, either by security points by practice that. people using the systems at and that is hurting the uk. estimates are that the uk will have a data economy of £240 billion a year by 2020 and the uk is £240 billion a year by 2020 and the ukisa £240 billion a year by 2020 and the uk is a world leader in this. we have some of the best data services through e—commerce and financial services and medical health services and even government services. we are world leaders in the provision of this. and it is all about trust. we think this regulation will help with that. it needs to be done by may 2018 or we will have a problem with our relationship with the eu and that in the context of brexit is very important. we must have an adequate agreement with the rest of europe in order to trade wi

the research. it is important that data, data, the more data we get on this, the more data we get on other aspects that are very helpful for planning purposes. >> thank you. and dr. oliver, on the question of the legal unreported, unregulated fishery in the united states, issued the final rule in december 2016. can you give us a little bit of an update as to the implementation of the rule and what the paces for scheduled implement patient in january of 2018? [inaudible] >> or are you speaking specifically on the iu -- .. but i've always been a lot of interest in that rule and the additional requirement that it puts on our producers. i know there's been a lot of interest and other aspects of that rule such as including shrimp, for example, because so many of our imports in our trade deficit bas based on those impos is from imported farm shrimp. for a variety of reasons were not able to do that. that something will be pursuing in the future, but i don't have any i guess more to say on that. if there are more specific questions that you have i be glad to follow up with you. >> i think for the record i

by the time you are having this conversation, 11 months roll by and the data on the internet today will only be 10% of what it is next year and nine times as much data is added in. so mathematics can't even begin to describe. it went this way and shot up into the space. with this mount of data and computing power real time analytics is getting closer to reality. where the machine will be able to see every part of humanity 24/7. >> what is your role of black cat? >> i have been with black cat for 18 years. i came as a visitor in 1999 and was fascinated with the culture, the openness, the research, the noble melting pot of geeks who come together and share message. i have done this for several conferences around the world. this is where i learned new thinks and i where meet some of my best friends. some who i consider family and exchange information. i validate myself and enjoy mentoring a few people. i enjoy teaching the glasses and interacting with other speakers and i don't get to research and do new things on my own as much as forcing myself to do new things. my teaching i have to sta

i call to order this hearing of the senate subcommittee on consumer protection, product safety, insurance and data security. as the title suggests, this subcommittee exercises wide jurisdiction over a diverse range of topics. this will be our first hearing this congress to examine matters pertaining to insurance, specifically, that of insurance fraud. thank you to our expert witnesses who came here to join us today. insurance fraud is a major concern not only for insurers,we who bear the costs of fraudulent claim payouts, but also consumers, who see these costs passed on to them in the form of higher premiums. this hearing will examine the scope of insurance fraudst at-large in the united states and address nationwide fraud trends across a variety of insurance markets, including property and casualty, and life insurance. in addition, we'll discuss the tools available to states,s insurers, and consumers to protect themselves against these crimes. the insurance industry has an enormous presence in the united states. there are nearly 3,000 property and casualty insurance companies across the country,

the data? >> am willing, we're always data dependent. i am too optimistic we're going to have higher inflation measured on a year-over-year basis by the end of the year. if you look at the sep we are predicting 1.6%. for core inflation by the end of the year. so we would still be well below target and not too far from where we have been in the last couple of years. i think we have a ways to go here on inflation. >> if inflation is not responding much, what is the it throw the economy into recession? >> you would be moving preemptive against future the policyy moving rate. we have moved policy rate three times. why you need to do this in this environment, you have lower inflation in the u.s., inflation expectations measured by markets below where you would like them to be. you have other countries with in thelation rates developed world. it does not seem like inflationary environment where this will get away from us. you do not need to be preemptive in this situation. bullardsident james speakin

is that what led you to use the data? michal: yes, you are just pointing out, another reason why i'm using facebook likes. i was lucky to have a huge data set of volunteers that donated their facebook likes to me as well as political views. personality and other psychological scores. basically other parts of their facebook profiles. in 2006 or 2007, my friend, he started this online personality questionnaire. where you could take a standard personality test, and then he would receive feedback on your scores. it went viral. we had more than 6 million people that took the test. half of them generously gave us access to their facebook profiles. when you finish your test, it would ask you, if you would be willing in return for us offering you this interesting thing, if you would be willing to give us access to your facebook profile. which we would later use for scientific research. more than 6 million people took the test. we got around 3 million profiles, facebook profiles. at the beginning, in fact, people like to say, when

the task force is evaluating sources of anti-fraud data. enforcement, insurers, and anti-fraud organizations. the task force is developing unified fraud referral systems, that would require companies to submit -- we engage in efforts to educate consumers regarding fraud. eic has a fight fake insurance program. this make sure the insurance agent and the company are properly licensed before buying insurance. as insurance fraud continues to develop, the state regulators will remain vigilant. we continue to adapt strategies that will prevent fraud. thank you for the opportunity to be here. we would be pleased to take your questions. >> thank you much for your testimony. for holding this hearing on an important issue that affects every consumer and business in america. and i ams dennis jay director of the coalition against insurance fraud. we were founded as a broad-based alliance of the major stakeholders in the fight against fraud. consumers,es government agencies, and insurance companies. the four organizations represented at the table today a

the way forward? i think so, businesses are innovating with data all the time and the more that comes online, the moreen. it is important there is trust between businesses and consumers about how data is used and this regulation goes on the right direction in terms of fostering owl trust. when you say businesses are innovating with information, there are fears that businesses are doing more than that, analysing personal information and working out how to make money from that? businesses innovate because they want to be more successful businesses, absolutely, but they do so businesses, absolutely, but they do so by innovating the products and services they use to make sure they are accustomed, and that happens across the economy. whether you are booking a flight online, whatever you are doing, the relationship with your business is online these days. it is important the right legal framework is there. and one criticism at the moment is unless you do something explicitly ticking a box to say you don't want your information there, it is a given that they can take what they want? it is right that there is

i tried to put the theory together with the models and the data. i'm in a talk about two theories today. i'm to talk about thermodynamics and statistics. these are the two theories that allow us to get some answers about what hurricanes might be like in the future. you probably aren't physicists or statisticians so i'm not going to go that deep, but these are the deep structures in which we can hang our hat on to try to understand what might it be like in the future. so. this is my slide from popular make mechanics. it basically describes how the hurricane operates. what you want to keep in mind are a couple propositions. in up and out. that is the circulation of a hurricane that you are probably not aware of. you think of circulation like this, you think of these things is spinning. that isn't the circulation that drives the hurricane. the in part is where the air comes in at at low levels near the ground near the ocean surface and it gets its heat and moisture and it rises in the center of the hurricane and also in all of the other thunderstorms s

, data, data, the more data we can get on this, the more data we can get on other aspects this act that are helpful for planning purposes. >> thank you. and dr. oliver, on the question of illegal, unreported, unregulated fishing in the united states, noaa issued its final rule in december of 2016, can you give us a little bit of an update as to the implementation of the rule and what the pace is for its scheduled implementation in january of 2018? >>. [ inaudible ] >> are you speaking specifically on the -- >> yes. >> on the iuu -- there's different things. >> the seafood fraud question is what i'm trying to get at. the heart of the seafood fraud issue and the rules that you're going to put on the base. the traceability rules. >> oh, the traceablity in the seafood. yes, sir, i'm not an expert on that. i'll be honest with you, i can try to get you more information on exactly where we are with that but that rule is really meant to balance the playing field, if you will, between imposing requirements that are already imposed on our own fishermen for exporting, t

i call the hearing of the subcommittee on consumer protection product safety and insurance and data security to order. as our title suggests, the subcommittee exercises why jurisdiction over a diverse range of topics and this will be our first hearing this congress to examine matters related to insurance. specifically today, that of insurance fraud. thank you for our expert witnesses who have joined us. insurance fraud is a major concern not only for insurers who bear the cost of fraudulent playing layouts but consumers who see those costs past down in higher premiums this hearing will examine the scope of insurance fraud at large in the united states and address nationwide product trends across a variety of insurance markets including property and casualty, life insurance. in addition we will discuss the tools available, state to protect himself against these crimes. the insurance industry has an enormous presence in the united states there are nearly 3000 property and casualty insurance companies across the country. 850 life and health insurance companies and they generate over $1 trillion

suspicion, we throw out of the data base. ut when we verify accounts we find three major trends and one surge in ems to be a antisemitism, the second is what a rash of so immigrant sentiments, this is people saying get out of my country, you don't belong this isn't your country, that sort of thing. the third thing is people who behaving in a racist manner basically e attributing their racism or trumpting it to president in some way. they are saying get out of my country, president trump doesn't want you here. or they are saying, you know, going to spray paint a swastika or spray paint trump next to that. ost: these incidents have happened a long period of time, was it the election that sparked project?rting and this guest: you know, it was the resurgence was the of organized racist groups in the election and it was the incidents that we out that wereming connected to politics incidents. incidents that had a link to the presidential election. from a.c. thompson with us california. first call for you comes from mike in maryland,

not even close to what the data was saying. the data was saying he was down by 17. he people were saying he is our choice. the data was saying that he is not connected to women, yet we were filling up auditoriums must idioms, people following our buses with signs and honking. they were saying, he would never get the nomination. he got it. he would never win, and he did. because -- what the pollsters were saying and the pundits, just did not match with what america was saying. i did not have to look at the data, or what people were saying, i saw firsthand. i opened up a rally for donald trump in ohio. it was amazing walking up there, i and addressing my fellow buckeyes. the energy in that room alone was enough for me to feel and to know, that same spirit was in the room. outside,ks that stood for eight or nine hours, waiting to see donald j trump. host: you have something that is a rare ticket, walk-in privileges to the president of the united states. what does that mean? omarosa: that is part of my job. i don't know why everybody focuses on that. [laughter] if you do

seen some the data to go with it and we have seen some of the forecasts gdp comedown for the year ind states, only 2.9%. it is on an u pwa rd states, only 2.9%. it is on an upward spiral but much slower than people think. interesting your opinion on this one, the financial times, the impact of brexit on the capital needs of banks, the costs and thejobs capital needs of banks, the costs and the jobs at risk. 0ne capital needs of banks, the costs and the jobs at risk. one of the biggest surveys ever. to the most brilliant newspapers, the financial times of the both excessively on the remaining team. you are very pro— brexit. yes, i remaining team. you are very pro— brexit. yes, lam. it is remaining team. you are very pro— brexit. yes, i am. it is sensible to spell it out if there is a hard brexit. the general consensus is that because of the passport issues, if banks had to open up subsidiaries in europe, it is a costly affair so ican understand. in europe, it is a costly affair so i can understand. so you don't disagree? i think the numbers are historical because it's the worst possib

you mentioned the export data. want to bring you the sub component for the pmi numbers. the export orders, highest since february 2011 in the month of august that's robust showing given we have seen that massive appreciation of the euro/dollar exchange rate. how do you explain that resilience do you not think the strong euro will be that much of a headache for the ecb after all? >> it's a problem for the ecb if the currency continues to appreciate we saw that in the account of july's policy meeting. they're concerned about overshooting particularly concerned for underlying goods inflation that area la been softer than the ec bshg was hoping f the ec bshg was hopincb was hopl low. we need to separate the leads and lags in two forces there's a lag effect in pickup in demand, exports rising, word trade improving. plus the intraeuro area trade dynamic and the exchange effect this will lag down over time the exchange rate impacts different economies in different ways those more price sensitive next portses, a b in expo exports, and those like germany. >> how does this play ou

it is a major port so that will factor into the data. vonnie: the fed, when the prices go up or down, why wouldn't it be transitory in this case? carl riccadonna: the fed should use it as a transitory case, the refineries will reopen and of the supply chains will be reestablished that it is short-term bump to inflation should work its way out. timeseing said, by the they were themselves out of the system which could take two to three months, we should see the evidence of faster economic data as evidenced in yesterday's gdp numbers and the latest numbers in all of these that we have some pipeline inflations that should be materializing later this year. vonnie: anyone who had been saying the economy is slowing, does this given the fed chair to she alwaysat possibly wanted to start tapering the balance sheets in october? you mentioned in september and in december another rate increase? carl riccadonna: we have to look at the data and take a leap of faith in terms of understanding what is happening in the economy. entering this very important

of the extreme examples we're seeing as far as use of data. we're going to have a lot of these examples come forth, and with that, i think discussions as far as the privacy of americans and, you know, when is going too far even if it's looking at criminal fraud schemes. another recent case in arkansas and it was a murder case, they were able to take a look at the data in their amazon alexa as far as -- and, you know, maybe some of you own these devices but you talk into it and it gives you answers, but all of the questions are maintained in a cloud that can be pulled down and listed on to and basically a woman was murdered in a hot tub and her husband said, you know, a certain things about the incidence of that and got the data from alexa even though amazon tried to squash it and they were able to show that the story he told about her death was not true. and so i think as our cars have more computers, homes have more computers, as everything is hooked to the internet as there are cameras everywhere in society today, you know, the generation tha

i'll eye the potential of the company. and big data machine learning. i'll speak with the ceo of data center real estate to understand a different way to play this big trend. stay with cramer >> don't miss a second of "mad money. follow @jimcramer at twitter have a question? tweet cramer at #madtweets send jim an e-mail to madmoney@cnbc.com or give us a call at 1-800-743-cnbc miss something head to madmoney.cnbc.com. with at&t you can get your entertainment right here. right now, when you get the incredible iphone 7 from at&t you can get unlimited data and live tv. the channels you love. your favorite shows and movies. making your iphone into more of a... oh my tv is ringing. hey...i'm in the middle of a...a second iphone from at&t? okay! right now when you buy a new iphone 7 from at&t you'll get a second iphone 7 on us. and power both with unlimited data and live tv. hey you've gotta see this. cno.n. alright, see you down there. mmm, fine. okay, what do we got? okay, watch this. do the thing we talked about. what do we say? it's going to be great. watch

we need to ensure that not only is the data on the collected when we consent but also the data is usedt abused with or without our consent. thank you so much for your thoughts. jeremy corbyn has condemned violence inflicted by all sides in the crisis in venezuela but didn't directly criticise the country's president. the labour leader has faced pressure including from mps from within his own party to condemn president maduro, after having expressed support for him in the past. dozens of people have been killed during months of anti—government protests in venezuela, with president maduro facing international calls to dismantle a new pro—government constituent assembly. mr corbyn said he was "very sad" about the lives that had been lost. let's speak to our political correspondent emma va rdy who's in westminster. what exactly has jeremy corbyn what exactly hasjeremy corbyn been saying? in the past of course, remember he had raised the regime of president and that of his predecessor. he praised the way they we re predecessor. he praised the way they were able to improve health care, educa

we are seeing more on the data front. japan better than estimates on the gdp numbers. ta coming in weaker than estimated. all of that is going to factor in two where you start your trading week. biscuit first word news -- let's get first word news. yousef: i will talk about the data. donald trump has stayed more criticism after failing to personally denounce neo-nazis. following an uproar from lawmakers in both parties and civil rights groups, the white house released a statement saying the president condemns "all forms of violence, bigotry and hatred and of course that includes white supremacists, kkk, neo-nazis and all other extremist groups." mike pence made similar remarks at a press function. bethese groups that need to pushed out of the public debate entirely and discredited for the hate groups and dangerous fringe groups that they are. david: a south korean presidential advisor has criticized trump escalating the freeze threats. a special advisor to the south korean president told news that trump about to unleash fire and fury if the isolated nation continued its

we don't need to ship all the data from the farm to the cloud.uld be sending drone videos, get deep learning that way. this is trained on cows but using this deep learning, just learning on that pc. it's not running in the cloud. this is all local computation. all of a sudden we are bringing down the cost of an entire system requiring fewer centers by using the tv white spaces instead of satellites, by running a boy in the gateway rod that should be obligated to the club. you are doing machine learning, deep learning. the kind of things were doing -- >> host: before you get to the deployment, why is it important we know these are people, somebody's wearing a tie, some cows are running around? >> guest: in the context of cows, if you have these you can monitor whether there's an attorney, how the cows are doing, where some cows are static, so all that, you can do counting. are you missing some cows? all that stuff can be done using this. this is just for demo purpose. >> host: all right. try to going back to the deployments as we see walking to th

they filled out the datasheet and collected the data around there. we expect to see more schools engage as well and as was mentioned, they gave an award to the chapter that same 10 and half the students tell us about what they had done. does that answer your question? >> any other questions? >> okay, thank you also much for being here. [applause] [inaudible conversations] >> for so long, women's stories, women military stories have just been discounted or appropriated by others. and she just felt like the timing is right. it was time to give these women a voice. >> we are not a social experiment. we ended up in iraq and afghanistan doing the same job in many cases as the men and coming home to a country that did not recognize many veterans, but with the same physical and moral injuries as the men. >> have you make the case, rightly i think that the health of conservatism is an urgent matter that has real world implications? >> i think two things. you can win elections and if you do that for the sake of winning elections, we can do that. if we as conse

the data has not dropped yet. ave seen here with the three misses on retail industrial production and investment, we will probably see moderation there as well. welcome, i was just going to say these money supplies will give us a point in this deleveraging campaign we are in and whether it is working. wecolm: in recent months have seen the overall numbers hold of fairly well because big banks aren't lending to be companies. we have seen pullback in the shadow banking areas. we would expect that that would continue. it doesn't seem so by the rhetoric of policymakers that re will be any loosening there. the smaller and's or feeling the squeeze, they do not get access to the big banks or the big fundings like the us so ease do. of -- bigontinuation fundings like the big banks do. we see a continuation of that. perhaps unexpectedly at this point, the strength of the yuan would give conflict of policymakers. that on the reimposition of capital curves. that is at least one risk. that big money that we were seeing in the

because the data protection rules have not kept up with development of technology. eu's data protection regulations that comes into force next year and coming into force quickly and the uk bill will make sure the same rules stay in place after we leave the eu probably in 2019. the point is, the data protection regulations at the moment we re protection regulations at the moment were designed in the days before a company could gain information on who you are, where you live, what shopping you like, what places you visit, because you carry a mobile phone and they can store information and use it for marketing purposes. these proposals are designed to give people a certain amount of control back, such as people who posted things as children will be able to ask for that to be deleted and will have to give explicit consent to giving away information. at the moment it is often a tick box at the foot of a website or pages of terms and conditions and people do not really know what they are signing up to and the idea with this is people will have to give clear consent to data

the data is king. that is what it seems to be. the drop in this popular derating saying he is ready to bring it on its stocks are higher. u.s. is growing. is that sustainable? the china factory data showing robust economic growth. i love what warren buffett has said. stocks might be less attractive but it is still beating the bond market. i love what he says. picking stocks in 2008 is like shooting fish in a barrel. not be good if you are buying lehman's. finance are up just financials are up. -- financials are up. consumers are doing well p confidence test doing well. confidence is riding high. had the french data, the german was stronger yesterday. this is the output dax. the gap is closing. that is good news for mario draghi. nomura believes the guidance on tapering in europe will slip from september into december. tapering is not fully priced into the euro. .ilt market, let's cross over -- christmas futures, 27 christmas futures, 127.22. they raise their guidance for the year. guy, i am off. guy: i am sure you will enjoy the. l

may be think the market behind the data, but i think the fed is behind the data. rlier this year, they were finally making its move to rate normalization on a consistent basis and getting off with balance sheet normalization as well? but the fed is in a mode where it does not know what to do or when to do it. so the market is basically saying it does not expect the fed to do anything. julia: the fed is behind the data and the market is behind the fed behind the data. joe: i am looking up the wirp function on the terminal right now. the market to find the odds of a a little you can see over one third of a chance, ois. with does that seem right to you with reporta today, the jobs friday? is it possible the market could be underestimating the odds of a hike? ward: i think it is, and there have been fed officials who have tried to put a december rate hike back on the table. phil dudley, loretta as well. i think it is conceivable that we have to see if there is better inflation numbers. the fed also has to get out the onption to pull the trigger the balance sheet normal

the government says people should have greater control over online personal data. provisions in the upcoming data protection bill will make it easier for people to withdraw consent for information to be used. but some question whether everything can be erased. also this lunchtime... north korea warns america it will "pay the price" for drafting tough new un sanctions over its missile and nuclear weapons programme. a british model who says she was kidnapped for six days in italy returns to the uk, saying she feared for her life "second by second." i've been through a terrifying experience. i feared for my life second by second, minute by minute, hour by hour. i'm incredibly grateful to the italian and uk authorities for all they have done to secure my safe release. the police watchdog in scotland wants to know why it took more than a month to find the body of a missing man who all the time was in his own home. in herfirst interview since becoming the next dr who, jodie whittaker says being a female time lord is a proud honour. i hope, you know my gender isn't a fearf

we skirmished with the 10 year highs, and we also have the china data this morning, the chinese tradeata, july exports missing on estimates. we are still leaking out the smallest of gains. korea backing the u.s. proposition for u.n. style sanctions, the u.s. seizes hostile policy, that is the call from north korea. aussie dollar at 79.16. we are up for the first time in several days, because the dollar is a little bit weaker, really singing warning bells over inflation. kashkari and bullard signed the warnings that the dollar is lower, and there is basis to support the aussie dollar. you have is this confidence index coming in at 12, previously it was eight. the risk is this, that the aussie dollar was indeed a little bent over -- sorry, the downside of the greenback is a little bit oversold. that's the risk a lot of commentators are making. we don't often put aluminum in. you have an on track for the highest close in two years in london, and on track for the highest close in five years in shanghai. cuts, andsupply copper is also romping at home. we'll talk to our guest host over the

what is the implication of unsettled economic data? case of past storms like this, there's a couple months following the storms where data jumps around. you see an initial impact from this and then it bounces back later. david: let's start with the employment data. going forward, what have we seen historically? >> the first tent we will get is the initial jobless claim. after katrina come it happened two weeks after. that's days for a couple of weeks. we can probably expect it through next month's nonfarm payroll. david: i expect a big influx of people going to this region for the reconstruction effort along the gulf. how is it more complicated this time by the tightness of the labor market we are in right now? ,> one of the big problems while it does create all this destruction come it also generates a lot of rebuilding activity. we already know the construction markets are really hard to find people in. #btv 3357. an overlay of the storm's landfall with dots indicating the oil refineries. we are having a conversation about inflationar