it's exploiting the big data. i don't know whether you have heard of this very recent story that came out on the spotify, i think they call it the discover list or discover playlist. so what spotify has been doing, if you're a spotify customer, it recommends you every week a list of songs that they believe you are going to like. and the story was that it became so popular with people, and i was reading a little bit about it how spotify does it, and i won't go into the technical detail, but that's a very big data exercise where they have detailed information where they use this sophisticated algorithm called deep learning to figure out, basically, recommend to you. so when i'm talking about the big data, we are literally talking about both the scale and the scope of the data at a very micro level is so enormous and now, you know, given the technologies and infrastructure, and they'll figure out how to use it more and more effectively. so now, you know, that's really where the trend is going. >> host: a question or a

that's versus the actual hard data. actually what we feel is, when you have good information, when you use that good information to make appropriate decisions, especially if you can have a more successful product, i feel the creators are more likely to be successful because they are working on things that will have a high level of potential to be successful. : >> >> there is no such word bennett there in is date data education but i tell students and teach students look at the data that they assign if there is the indication then they want to know can you deal with it? because even if you are a

the problem of u.s. law enforcement access to data cross borders. this was the issue that was decided this summer, but second circuit in what is known as the microsoft ireland case, it started in december of 2013, when the u.s. government served a warrant pursuant to the electronic communications privacy act, which also call acba on microsoft seeking data associated with a particular account. microsoft turned over the nonconsent data, name, ip address, billing information, but refused to turn over the content of communications saying those were stored in dublin, ireland, that the united states warrants jurisdiction only extends to the territorial boundries of the united states, and that therefore the warrant was invalid. the government fought back as the government put it in two lower courts agreed. this was not a traditional search warrant that involved u.s. law enforcement officials crossing over into ireland territory, and seizing property there. rather it was directed at microsoft requiring that microsoft disclose a sought after communications. y

and, you know, for these reasons the data, the statistical agencies provide, has been very helpful int we primarily rely on. now, compare that with what is available in terms of big data, which i said we are excited about and want to find ways to use, but often the firms that produce that data, their primary focus is business focus and it is elsewhere and the data becomes available is a byproduct of work they are doing. often these firms have a champion within it that sees potential for data to be usable by the fed or other outsiders, often the core, focus of those firms is on --ething no spirit and something else and not the data. often it is not representative and users of big data try to bench mark it to the representative of samples, but often the data is not produced taking theory into account, into the design, to meet the needs of users who are trying to really understand the u.s. economy. and the time to samples are often quite short -- timed samples are often quite short, and for us we need to know how a particular series would behave during a deep recession and having a few y

we have the police data initiati initiative. they're believing in the idea of putting your data out there for the public to see louisville puts up every single citation in realtime. in some times i call this the anti-ferguson. it's telling the public this is what's happening in your communities. real people can look at that data and say, this is what's happening, we need more agencies doing this, saying, we are willing to show our data this is from tom manger, he's my police chief, and i want him to feel good about me being in his community and help out my 14-year-old boy when he messes up. police departments understand if they're going to earn the confidence of communities they need to be more transparent. the more information police put out there, the more opportunities there are for public to have that confidence in the police department. we get that. we need more and more police departments to understand that. currently over 130 jurisdictions understand that we are -- we have the same people rotating in and out of our jails a

i talk about the data economy. that is where the administration should focus to be with the u.s. competitiveness but have been restrictions on data in for those companies for the best data services in the world but then the last thing i would say is then my world we are predicting data analytics everything that happens right now is very evident but i would also say it is clear we are just at the beginning. there are so many things happening but it is all within the last two years we at the beginning of the data revolution so to the extent of the future of class computing or predictive data analytics and policies this is a relative lead new industry so from the inception will have a negative impact not just those using it today but where it could go was the global economy long term. >> i agree with theaters on the trade aboard issue my advice is lose the fascination with bilaterals. the argument that you have been taken to the cleaners is wrong. anybody who negotiates will tell you that it is wrong. and the u.k. is probably one of them but the idea that it they are bad is misplaced

i see two sides of the coins, data that's outside the territorial boundary outside of the united statesata that happens to be within the united states. in my view the current set of rules are enforcing arbitrary limits on where that data is held. it blaitly -- it's divisaabili y divisaability -- these make increa increasingly arbitrary basis. they under cut privacy as well as security and economic growth and invasionovationinnovation. this was the issue that was decided this summer by the second circuit known as the microsoft ireland case, i assume everyone is familiar with it. it started back in december of 2013 when the u.s. government served a warrant pursuant to the privacy, associated with a particular account. microsoft turned over the non-content data, things like name, ip address, but refused to turn over information that was over in ireland and therefore the warrant was invalid. this was not a traditional search warrant that involved u.s. law enforcement officials crossing over into ireland territory and seizing property there, rather it was directed at microsoft requiring that

the national data, it has to be there. i liked away roy put it with the comparison, we have to have that comparison if we are going to embrace a profession that has the most significant power in our society. power to detain without judicial oversight immediately, the power to take life very there's a lot of power and echoes with that and we have to always accept and never be shy to make sure that those -- and i carried that badge for years, those who have that power are held to the highest standards of the profession and community. i think data helps us do that. that a dozen other thing we need to focus on. the last couple of years have a concern that has been floating around the country. some people try to say that this is a race relations and policing has been the worst in 30 years. for many of us can't -- for many of us, especially people of color know that that is untrue. it, now that it is in front of us, it is time to heal it. the only way to do that is to acknowledgment it is not all about the individual officers. yo

the most recent data tells us among the households 40% are holding some form of student loan debt and that is drastically from two decades earlier when just 14% of the households were carrying a student loan debt. we also know people are borrowing more than ever before. each of them are borrowing more. so during the same period of time over the past 20 years, the average debt has more than tripled for these households that are holding some level of student debt and it's a statistic we've heard over and over again is that those have amounted to an outstanding student debt for the nation of $1.3 trillion. again, we've heard the statistics over and over but the discussion generally stops there. so instead let's apply a different lens to this. if we think of investment in education as paying off over the course of a lifetime, we can think of the increases in death as a symptom of increased investment education, which we know is given to the individual into the society. for instance when we talk about the $1.3 trillion in debt, we rarely talk about the increase or estimated increase in gdp

in fact what happened is the data became public. unfortunately it has a long way to go in getting perfect data out there and then they dropped the idea of putting forth quality rating system. i kind of one in terms of what i hope to get out of it. >> let's go to the back. >> are the lenders suing the students? my story is when they default they say i can't pay and a lawyer at the bank says you have a mom and dad that of cosine then they go to mom and dad and they say you've got to get some kind of a loan to pay us off. is that for real? >> what you might be hearing about is what's happening in the private markets of the majority of volume of outstanding debt comes from the federal program because interest rates are lower than the private market but that means you still have a gap in their financial need they will turn to private lenders. the common practice for private lenders at the graduate level is to require a cosigner for that loan. so we do have a lot of instances where people are very upset to realize they are on the financial

martin: well, big data essentially is the collection and use just of massive amounts of data. rporations for example, these companies are collecting all kinds of information about their customers, about their business operations, about the actual processes in industrial environments and factories. about the things that their employees are doing. all of this data essentially becomes a kind of feedstock for these smart algorithms, the information they use to learn and figure out how to do things. that is something that i think is going to be dramatically disruptive going forward. narrator: the total data stored on the world's computers is now believed to be well over 1000 billion gigabytes. and it is big data which is driving the most disruptive advance in technology, the ability of machines to think. martin: one thing that you will very often hear people say even today is that computers only do what they are programmed to do. and you know, this is really not right anymore. and the reason it is not right basically is because of machine learning. because we now have this technolog

we should figure out how to get the data out for the docs. the docs should not be required to produce these reports on their own because they cannot. they don't have time. we don't want them to learn how to do it. we want to enable them to participate in an infrastructure where they can bring two clinical decision making and sharing with patients all the data they need in real-time and it can be done because oklahoma proved it can be done. we need to think about how to build that i.t. backbone so that doctors can actually participate in the 21st century. let me tell you what's going to happen if we don't. these little practices which are still the core of or nation especially in primary care are not going to be able to compete. macra puts 4% to 9% within three years of total medicare revenue at risk and it's total zero sum. you'll lose if you're at the bottom of this pile. they cannot win because they cannot make the ehrs to tell them to generate the data to tell them how to do it better. we have to do this for them. it can be done cheaper. i

i thought that the byproducts of this initiative was more data than i can get behind the rating system. i figured and practice a lot of people would dismiss those anyway by consumers would have access to data that was used to create the rating system. what happened was the data became public its imperfect data and then they dropped the idea of putting forth quality rating system. so i want in terms of what i hope to get out of it. i got out of it without having to pay the price of of federal government endorsed quality rating system as well. >> my story is that when they default they say i can't pay and the lawyer in the bank says yes, but mom and dad cosigned and they go to mom and dad and they say you have got to get some kind of alone to pass off, is that for real? >> what you might be hearing about is what's happening the private living market. the majority of the volume of outstanding debt comes from the federal programs because interest rates are lower than the private market. than lower than the private market. than students have a gap in their financial need will turn to privat

clearly the data. you're exactly right. they just cannot get the data. they're almost held hostage by their own data. my question -- and i appreciate your comment really around the social determinance because many of these clinicians are kind of trapped whether they're in rural areas or urban areas. they're trapped by the challenges their patients -- many co-morbid diseases and the challenge -- health care's far more than health. and so my question to you is what are some solutions that u.s. policy makers in analyzing this around this ehr, that's one of the biggest barriers that across the system but particularly with the small rural docs are facing. so that's one question around ehr. how do we get through this debacle around interoperability and all of that. that's one. two is what are some of your thoughts around risk adjusted payments. because clearly as we move through acos, you know, there's the option of cherry-picking. don't like to say that. but that's ultimately how do we manage those. so those two big issues, ehr and risk adjusted payments, part

the debate. weaker than estimated inflation data out of australia. esident donald trump plans to unveil actions on national security today, including steps toward building a wall on the next in border and admitting refugees close to the u.s.. the mexican peso fell on the news. prospect formp theet director says national debt needs to be addressed sooner rather than later. he also said he would push trump to break his campaign promises and cut social security and medicare. in his confirmation hearing he told senators without doing something soon, the medicare and social security trust find could go bankrupt. more than $284 million in bonuses, stock holdings and other investment through the back. to help them avoid conflicts of interest the bank is letting him immediately collect about $65 million in cash and stock tied to its future performance. he was paid $20 million for his work in 2016. japan's nafta 14 month run of falling exports in december. exports rose 5.4% in december year on year. his left japan with the trade surplus for a fourth consecutiv

so, i think that you can feel good and the data feels good and the investment that we made inn the data was unequivocally worth it because one of the things we knew is exactly where the undecideds were and what was going to move them and we knew how to go after them whether it would be a door knock, phone call followed up by this and that. but there is no question that i think the magnitude of the wind considering what the conventional wisdom was was enormous. >> you mentioned twitter, can we talk about the? >> sure. >> do you know what the president elect is going to tweet or do you get it on your phone like everybody else?nce in >> every once in a while he says i'm going to tweet something. >> i know everyone says who is doing this one because it is ios, he has multiple devices. >> its follow-up, when you wake up in the morning -- if you sleep -- do you book with a certain sense of dread? [laughter] >> no, but i do look first. that's what's going to drive the news. whatever he tweets is going to drive the news. news. use all the other day he sends out a single one and the idea that ho

we need to understand the data. the key thing weez know bat faltyties, my team worked with san francisco general troounderstand cost so there are approximately 50 percent of people at the trauma center at the hospital are there for transportation injuries at a cost of approximately 35 million as annually. i think of it as a health oriented. this helped eliminate for us the opportunity to make a significant impact on the cost we see at the hospital as a third of the severely injuryed patients comprise [inaudible] we also see reduction in the medical costs. we know people walking comsprise over half the people killed thatd seniors are more much moreivaliable and speed is highly correlated with death and know yoi pass #d a resolution last year on automate #d speed enforcement. thank you so much, that is really important for us. we know large vehicles are more deadly particularly people walking and biking and iftalities are trait concentrated on the high injury network. a refresher how we go to today. we asopt dopted vis

so you can feel good, the data feels good. -- the investment we made a data was worth it because one thing that we knew is we knew exactly where the undecideds were and what was going november em. the and we knew how to go after them. whether at door knob or phone call, volunteer phone called and then followed up. how to chase that a absentee. but the magnitude of the win was enormous. >> you mentioned twitter. can we talk about twitter? >> sure. >> do you know what the president-elect is going to tweet before he tweets it or do you get it on your phone like everybody else does some of them are at 3:00 in morning, which is pretty weird. >> i do not. >> you don't get them ahead of time. no once in a while he'll say i'm going to tweet something or, hey what do you think about this? he drives the train on this. >> how does do that -- on his phone? >> yes. sometimes -- he's got an ipad. everyone is like who is doing this. this one ios. she has multiple devices. >> when you wake up -- when you wake up in the morning, if you sleep,. >> one eye open. >> do you look with a certain sense of dr

and the latest on the data from china. nd interpret all of this, trading thoughts and strategy, we welcome our next guest. happy new year. >> here is to the roller coaster. through just talking the ramifications of 6.5% in china. i thought we would pull this together in terms of the overall global manufacturing pmi. the eurozone relative to the official is the blue. look to do that. i would almost say that the pound -- the point is half full. >> i would say it looks at her than the same time last year on this day. kicked off. we are starting 2017 on a more positive note. question is, where is it coming from? is the main driver china, which has turned the corner on growth or is it that we don't really have the headwinds of austerity anymore or so the markets think, and therefore everybody is pushing up production. manus: what is your gut feeling? is it that there are less headwinds for china or is it that we are going to have less is,erity, or the third leg you had central banks, does that change in 2017? three big subjects.

when the data is in they will present the data to mosques across the city for consensus on timing. it is not only restricted to london. >> perhaps the data from birmingham, london, and one other place, and we can make a model. reporter: a model making it easier for muslims to tell the time of prayer, not only in the u.k., but across the world. bbc news. katty: afternoon only three years, the hunt for malaysia airlines flight 370 has come to an end. it is a decision met with disappointment and anger from the relatives of many onboard. aircraft disappeared in march of 2014 with passengers and crew traveling from kuala lumpur to beijing. reporter: a search for anything some of the world's most hostile has revealedeas volcanoes and shipwrecks, but not flight mh-370. search teams are headed home from the southern indian ocean after one of the most expensive and exhaustive missions of its kind. the hunt for the airplane that disappeared almost three years ago will only resume if there is a significant breakthrough. >> i would like to confirm that the vessel will you the search area by to

we can combine the data that we have and the data that we have -- data that they have to come up withew customer insights that will bring some exciting new opportunities for the consumer to utilize the time they spend in their vehicle. which, for many of us who have long commutes, that time we can use to be more productive in the future as we move toward the world where we are headed where we are fully autonomous driving. we want to be there to get the car manufacturers the tools to produce those experience that it's -- experiences. we don't see any individual is having the same breath and that -- depth that we have in the space. we canproductivity that bring together with our deep knowledge in the artificial intelligence field and combine that in a connected fashion using our new connected legal platform. we feel very good about this position to help the automakers reach their goal. >> that was microsoft business development chief peggy johnson. also, plenty of innovation on display that will drive the technology sector in 2017. but there are also gadgets that will be hard to catch o

collection i was - there's an acknowledgement in the 6 month report that the data is still partial it not fly deployed a quarterly timeline i'm trying to understand when you expected full deployment of the demographic data collection tools so we will know more about the populations that are served and how that breaks out. >> so the - they're collecting the data we found out last year there was a lot of things that needs to happen in terms of not just collecting the data but how people are doing it operational as when the tool we pull the data from this timeframe to versus pulling from a different timeframe and asked do managers to update the data and things we're accounting we expected the next 6 months the report will be much cleaner than it has been so another piece of it that as you can see dos integrated into one system so we would unify the terminology that was used and making sure that there are 4 things they're identifying that those 5 things and 5 in other database their routed does that answer your question. >> we fully acknowledge collecting the lgbtq data is sensitive an

the next major section of the annual report focus on the numbers and data. we start the section off with the dph budget. this includes our expenditures, revenue and key investment made for fiscal year 15-16 which some included the $26.8 million for operating cost for the new building and $12.8 million in it investment. following the budget, we have dat spanning our two division so san francisco health network and population health division. starting with san francisco health network we include encounters on different visit types and patient demo graphics across the hospitals and clinics. per the commissioners request add finance and planning this was verified by the business intelliance unit as dph and followed the data definition when possible. the next section is on the population health actiskties so this focus on the 6 areas of the strategic plan and have key highlights within each. lastly, in this section we have our health commission resolutions for fy 15-16. these highlight the major actions taken by the commission ovthe fiscal year and this section or

well the car companies own the data, will the technology giants of the data?i think again it is a convergence. there is a lot of debate. should apple or google get into carmaking? we collaborate with apple and google, but we also compete. we have taken a position with samsung coming in, announcing that position that samsung and harman will get into carmaking. we are with daimler and already and gm and ford and chrysler. our role is to mature the technology and apply it, keeping an eye on user interface. technology is only as good as it is simple to use. that is what we are bringing to market. the convergence of car and application service providers like harman. caroline: how is the integration? >> i think integration has not started. that can only start once the deal is consummated. right now the process is happening. by the middle of the year, it should close. regulatory authorities will evaluate it. i am very happy. i personally visited the top 10 or 15 investors one-on-one. they are very happy with the premium they got. it is a great complementary deal for

so you can feel good and the data feels good and the investment we made in data was worth it because one of things we knew was where the undecideds were and what was going to move them. we knew how to go after them weather is good to be a door knocker phone call and then followed up with how we chase that absentee. there's no question the magnitude of the win considering what the conventional wisdom was was enormous. >> you mention twitter can we talk about that for second. >> do you know what the president-elect is going to tweet before he tweets itt question or do you get it on your phone like everybody else? >> some of them, three in the morning. >> i do not. >> you do not get them at a time?omethi >> no. once in a while he'll say i'm going to tweet something or what he think about this but he drives the train on this. >> how does he do it? on his phone? >> is an ipad and i know everybody's like who's doing this could that's in ios, he has multiple devices. >> i don't know how much your sleeping, and you wake up in the morning, if you sleep with one eye open, do you look with a cer

collection i was - there's an acknowledgement in the 6 month report that the data is still partial it not fly deployed a quarterly timeline i'm trying to understand when you expected full deployment of the demographic data collection tools so we will know more about the populations that are served and how that breaks out. >> so the - they're collecting the data we found out last year there was a lot of things that needs to happen in terms of not just collecting the data but how people are doing it operational as when the tool we pull the data from this timeframe to versus pulling from a different timeframe and asked do managers to update the data and things we're accounting we expected the next 6 months the report will be much cleaner than it has been so another piece of it that as you can see dos integrated into one system so we would unify the terminology that was used and making sure that there are 4 things they're identifying that those 5 things and 5 in other database their routed does that answer your question. >> we fully acknowledge collecting the lgbtq data is sensitive an

collection i was - there's an acknowledgement in the 6 month report that the data is still partial it not fly deployed a quarterly timeline i'm trying to understand when you expected full deployment of the demographic data collection tools so we will know more about the populations that are served and how that breaks out. >> so the - they're collecting the data we found out last year there was a lot of things that needs to happen in terms of not just collecting the data but how people are doing it operational as when the tool we pull the data from this timeframe to versus pulling from a different timeframe and asked do managers to update the data and things we're accounting we expected the next 6 months the report will be much cleaner than it has been so another piece of it that as you can see dos integrated into one system so we would unify the terminology that was used and making sure that there are 4 things they're identifying that those 5 things and 5 in other database their routed does that answer your question. >> we fully acknowledge collecting the lgbtq data is sensitive an

, but we are quite optimistic that the data rate -- that the data we generateen though it is behind, could prove to be best in class. in that case, second is fine. eric: the cart 15 trial is dealing with leukemia. why is that proving such a tough not to crack? hans: when you treat an adult patient with acute lymphoblastic leukemia, they see the tumor and then they start, the cells start growing quickly. we believe the toxicity from these treatments relate to how fast the cells grow. in a.l.l., there is so much growth to be found, they tend to grow faster. that is why we believe a.l.l. as additional challenges. hans: is it too hard now and you should focus your efforts on lymphoma? hans: i don't think so. we are far from giving up. the patients that we are treating have no therapeutic options. i think all the data we had today acknowledging the challenges you pointed out, in aggregate really encourages that we come up with therapy that may even be curative. eric: there are some people that worry that the industry, companies like yours, are moving too fast with m

the sample. but, you know, there's a way in which data lives forever. so even if you throw out the actual tissue, the saliva, the data can still inform. and all of the companies, i think, if they're smart, are using the data that comes in from customers to make their databases more robust. you can get more robust findings if you have more expansive databases. it's on the company-to-company base that we know what happens to the d.n.a. but we can suspect it's being kept around, similar to when one goes to the hospital and has to give-- is having an operation or has to give a tissue sample around. >> the social life of d.n.a., race reparations and reconciliation after the genome, alondra nelson, thank you for joining us. >> thank you very much. >> stewart: to learn more about how d.n.a. tests help african americans understand their connections to the transatlantic slave trade, visit www.pbs.org/newshour. >> this is pbs newshour weekend, saturday. >> stewart: and now to "viewers like you," your chance to comment on segments you've seen here on pbs newshour w

not off allegations that russia was behind the data breach at the dnc.etails from the senate cyber security hearing. plus, time warner-at&t megamerger back on the brink. why president trump might get in the way of the deal. and titans from tech hold court at the ces in las vegas. from the future of cable tv to the surging home sharing market. the first two are lead. security is emerging as a major tech concern for 2017, and it came to attention today at a u.s. cyber security hearing where russia was front and center. officials confirmed that russia was behind attacks during the presidential election. intelligence officials said only russia's most senior officials could have authorized the data theft. one day beforet president-elect donald trump, who had previously cast doubt on the findings, is to be briefed on the hack. bill from is washington. agency seemsnce even more confident that russia was behind this hack. what do we know from this event? the three side chief sumitra mayhill today said they had more confidence than they did in october when they f

faraday wants to own the data. what they make him the actual card safe -- they make on the actual car itself? >> they have a unique vision and -- i had a chance to sit down at their headquarters. he laid out a broad experience. you have yourself own a started watching a movie on it. autonomousy hail an vehicle. you exit the car and finish where you left off. then you had -- then you watch it on a smart tv. cars are integral part of the vision. vehicle is another place to watch content. let's remember this company started as a software content maker. all of these devices and hardware cars, smartphones, you name it, are just shells to hold their software. it is a very broad vision. cory johnsont was and selena wang. that does it for us for the best of "bloomberg technology." tune in egypt 5:00 p.m. new york, to plug in san francisco, to the clock p.m. hong kong. that is all for now. this is bloomberg. ♪ . . ♪ erik: coming up on "bloomberg best," the stories that shaped the week in business around the world. from conf

my argument is not that the collecting of the data is necessarily bad. w neede to be aware that it is being collected. we need to be aware that we get nothing for free. to get the convenience and functionality, we have to give something up. the cost of this is our privacy. as long as we are informed consumers and understand that, then i think we can make the decisions. often we don't consider the cost of giving your phone number out to anybody. how do we control it? it is definitely easier on the access side. maybe you don't post everything in a 50 minute increments on social media. throw them off. maybe you throw them off on google with something you are not really interested in. someone throw random search terms all the time to keep the company's aggregating this information completely confused. it went from zucchini to eggplants to mountain biking to monster truck rallies. that is a pretty broad profile. i put this up not because i believe you can actually do it, but because it is always on the site -- use your cash, not your card. easier said than don

the blue line is the hard data, the real economy. not really going anywhere. , maybe theconverge sentiment will cause the real data to pick up. people get optimistic and spend more and invest more. or maybe it will revert to the real economy will not pick up and match the sentiment. but either weather is a gap. -- but either way there is a gap. this is the biggest divergence between the measures in six years. a lot of hope being built into the data right now. scarlet: you could say the same thing for companies. they are excited but they will not pin it down with a forecast. the market closes next. joe was saying the street moves on. what streak? the streak in which the s&p 500 is not rise or fall by more than 1%. -- does it feel like an update? compared to where we were earlier. this is bloomberg. ♪ ♪ scarlet: we are moments away from the closing bell. "what'd you miss?" the rally turns into a slump selloff. the president's order on immigration is an concerns that it could be overshadowed by his protectionist policies. i'm scarlet fu

, is the massive amounts of data, right? f data that -- you know, i always talk about the data centers of today are built on humans, the data you and i put together. the data center of tomorrow will be built on the machines. autonomous cars will put out something like 4,000 times the amount of data the average human does in a day. these headsets about 2,000 times. so it's quite a bit more data. so, it's the data center that's really powering intel of the future. >> reporter: now, i know you're transitioning intel away from reliance on the pc market, but there were some hopeful signs in the pc market in q-4, at least from gartner's numbers and things said from hp. what is your take on the health not just in the u.s. in developing markets but in emerging markets? >> sure. the way i look at intel is it's not that we're giving up the pc. we want to strengthen the other areas so we're a more balanced company. but we're excited about the pc. we think this is some of the best products in the history of the pc. we have a product comi