>> live from New York. It's the Q covering AWS Global Summit 2019 brought to you by Amazon Web service, is >> welcome back here to New York City. You're watching the Cube, the worldwide leader in Enterprise Tech cover jumps to minimum. My co host for today is Cory Quinn and happy to welcome to the program. A first time guest on the program, says Heart O. B. Who is a senior leader of global business development with Healthcare Life. Scientists know this group and AWS thanks so much for joining us. All right, so you know, we love digging into some of the verticals here in New York City. Of course, it's been a lot of time on the financial service is peas we actually had, Ah, another one of our teams out of the eight of us. Imagine show going on yesterday in Seattle with a lot of the education pieces. So healthcare, life sciences in genomics, little bit of tech involved in those groups, a lot of change going on in that world. So give us a thumbnail if you would as toe what what's happening in your >> world so well just from a scope one of you Health care includes life set paid on provider Life sciences is far more by attacking its most medical device and then genomics and what we're seeing in those spaces. Let's start with health care. It's such a broad thing, will just sort of back to back and forth in health care itself. What we're sort of seeing their customs ask us to focus on and to help them do falls into three categories. First, is a lot of customers ask us to help them personalized the consumer health journey. You and I, all of us, are so accustomed to that frictionless experiences we have elsewhere and in health care. There's a lot more friction. And so we're getting a lot of enquiries and request for us to help them transform that experience. Make it frictionless. So an example That would be if you're familiar with Doc. Doc started here in New York. Actually, when you want a book, an appointment, Doc, Doc, you can normally, if you go online, I have to put information for insurance. You type it all. Then it's full of friction. Have to put all the fields in. They use one of our A I service's image recognition, and you simply hold up your card to the camera and it able to pull your in transporation, determine eligibility and look the right appointment for you. So that's an example of removing friction for the consumer of the health consume over the patient as they're trying to go to that health care and excessive category one frictionless experiences using AWS to support it with a i service is category, too. We're getting a lot of interest for us to help health systems predict patient health events. So anything of value base care the way you actually are able to change the cost. Quality Curve is predicting events, not just dealing with math and so using a i Am L service is on top of data to predict and forecast events is a big part of one example would be with sooner where they moved, they're healthy and 10 platform, which is a launch to a patient record platform onto AWS. About 223,000,000 individuals that are on that platform Men we did a study with him where way consume about 210,000 individual patient data and created a machine learning model this is published where you can predict congestive heart failure 15 months in advance of it actually occurring. So when you look at that, that prediction are forecasting that sort of one of the powers of this princess. What category number two is predicting health events, and then the last one I'd be remiss in leaving out is that you probably have heard a lot of discussion on physician and a clinician. Burnout to the frustrations of the nurses or doctors and Muslims have the heart of that is not having the right information the right time to take care of the right patient. Data liquidity and in Trop ability is a huge challenge, and a lot of our customers are asking us to help solve those problems with them. You know it hims. This year we announced, together with change Healthcare Change Healthcare said they want to provide free and troubling to the country on AWS, with the platform supporting that. So those are sort of three categories. Personalize the consumer health journey. Predicting patient health events and promoting intra ability is sort of the signals that we're seeing in areas that were actively supporting our customers and sort of elevating the human condition. >> It's very easy to look at the regulation around things like health care and say, Oh, that gets in the way and its onerous and we're not gonna deal with it or it should be faster. I don't think anyone actively wants that. We like the fact that our hospitals were safe, that health care is regulated and in some of the ways that it is at least. But I saw an artifact of that means that more than many other areas of what AWS does is your subject to regulatory speed of Sloane. A speed of feature announcement, as opposed to being able to do it as fast technology allows relatively easy example of this was a few years back. In order to run, get eight of us to sign a B A. For hip, a certification, you have to run dedicated tendency instances and will not changed about a year and 1/2 2 years ago or even longer. Depending it's it all starts to run together after a time, but once people learn something, they don't tend to go back and validate whether it's still true. How do you just find that communicating to your customers about things that were not possible yesterday now are, >> yeah, when you look at hip eligibility. So as you know, a devious is about over 100 him eligible service's, which means that these are so this is that so compliance that you start their compliance, Remember, is an outcome, not a future. So compliance is a combination of people process platform, and we bring the platform that's hip eligible, and our customers bring the people in process, if you will, to use that platform, which then becomes complying with regulatory requirements. And so you're absolutely right. There's a diffusion of sort of understanding of eligibility, a platform, and then they worked with customers have to do in order as a shared responsibility to do it. That diffusion is sometimes slower. In fact, there's sometimes misinformation. So we always see it work with our customers and that shared, responsive model so that they can meet their requirements as they come to the cloud. And we can bring platforms that are eligible for hip. They can actually carry out the work clothes they need to. So it's it's that money, you know, the way I think of it is. This when you think of compliance, is that if if I were to build for you a deadbolt for your door and I can tell you that this complies boasted of things, but you put the key under the mat way might not be complying with security and regular requirements for our house. So it's a share responsible. I'll make the platform be eligible and compliant, and so that collective does daytime and dusting. People are saying that there is a flat from this eligible, and then they have to also, in their response to work to the people in process potion to make the totality of it comply with the requirements for regulatory for healthcare regulatory requirements. >> Some of the interesting conversations I've had in the last few years in health care in the industry is collaborations that are going on, you know, how do we share data while still maintaining all of the regulations that are involved? Where does that leave us get involved? There >> should. That's a fact. There is a data sharing part of that did a liquidity story that we talked about earlier in terms of instability. I'll give an example of where AWS actually actively working in that space. You may be familiar with a service we launched last November at Reinvent called Amazon Campion Medical and Campion Medical. What it does is it looks at a medical note and can extract key information. So if you think back to in high school, when you used to read a book in highlighting yellow key concepts that you wanted to remember for an exam Amazon Carmen Medical Same thing exactly, can lift key elements and goes from a text blob, too discrete data that has relationship ontology and that allows data sharing where you where you need to. But then there's one of the piece, so that's when you're allowed to disclose there's one of me. Sometimes you and I want to work on something, but we want to actually read act the patient information that allows data sharing as well. So Amazon coming medical also allows you to read, act. Think of when a new challenge shows that federally protected doctor that's blacked out Amazon com for American also remove patient identifying information. So if you and I want to collaborate on research project, you have a set of data that you wanna anonima de identify. I have data information of I D identified. To put it together, I can use Amazon com Medical Read Act All the patient information Make it d identified. You can do the same. And now we can combine the three of us that information to build models, to look a research and to do data sharing. So whether you have full authority to to share patient information and use the ontological portion of it, or whether you want to do the identifying matter, Amazon competent medical helps you do that. >> What's impressive and incredible is that whether we like it or not, there's something a little special about health care where I can decide I'm not going to be on the Internet. Social media things all stop tweeting. Most people would thank me for that, or I can opt out of ride sharing and only take taxis, for example. But we're all sooner or later going to be customers of the health care industry, and as a result, this is some of that effects, all of us, whether we want to acknowledge that or not. I mean, where some of us are still young enough to believe that we have this immortality streak going on. So far, so good. But it becomes clear that this is the sort of thing where the ultimate customer is all of us. As you take a look at that, does that inform how AWS is approaching this entire sector? >> Absolutely. In fact, I'd like to think that a W brought a physician toe lead sector because they understood that in addition to our customer obsession that we see through the customer to the individual and that we want to elevate the human condition we wanted obsess over our customers success so that we can affect positive action on the lives of individuals everywhere. To me, that is a turn. The reason I joined it of U. S s. So that's it. Certainly practice of healthcare Life's I said on genomic Seti ws has been around for about six years. A doubIe s double that. And so actually it's a mature practice and our understanding of our customers definitely includes that core flame that it's about people and each of us come with a special story. In fact, you know the people that work in the U. S. Healthcare life, science team people that have been to the bedside there, people that have been adventure that I worked in the farm industry, healthcare, population, health. They all are there because of that thing you just said. Certainly I'm there because that on the entire practice of self life sciences is keenly aware of looking through the customers to the >> individual pieces. All right, how much? You know, mix, you know, definitely an area where compute storage are critically important than we've seen. Dramatic change. You know, in the last 5 to 10 years, anything specific you could share on that >> Genomics genomex is an area where you need incredible computer storage on. In our case, for example, alumina, which is one of our customers, runs about 85% of all gene sequencing on the planet is in aws customer stores. All that data on AWS. So when you look at genomex, real power of genomics is the fact that enables precision diagnostics. And so when you look at one of our customers, Grail Grail, that uses genomic fragments in the blood that may be coming from cancer and actually sequences that fragment and then on AWS will use the power of the computer to do machine learning on that Gino Mexicans from to determine if you might have one of those 1 10 to 12 cancers that they're currently screening for. And so when you talk to a position health, it really can't be done without position diagnostics, which depends on genomex, which really is an example of that. It runs on AWS because we bring compute and storage essentially infinite power. To do that you want, For example, you know the first whole genome sequence took 14 years. And how many billions of dollars Children's Hospital Philadelphia now does 1000 whole genome sequences in two hours and 20 minutes on AWS, they spike up 20,000 see few cores, do that desi and then moved back down. Genomics. The field that literally can't be. My humble opinion can't be done outside the cloud. It just the mechanics of needed. The storage and compute power is one that is born in the cloud on AWS has those examples that I shared with you. >> It's absolutely fantastic and emerging space, and it's it's interesting to watch that despite the fact there is a regulatory burden that everything was gonna dispute that and the gravity of what it does. I'm not left with sense that feature enhancement and development and velocity of releases is slower somehow in health care than it is across the entire rest of the stack. Is that an accurate assessment, or is there a bit of a drag effect on that? >> Do you mean in the health care customers are on AWS speaking >> on AWS aside, citizen customers are going to be customers. Love them. We >> do aws. You know, we obviously innovation is a rowdy and we release gosh everything. About 2011 we released 80 front service than features and jumped 1015 where it was like 702 jumped 2018. Where was 1957 features? That's like a 25 fold. Our pace of innovation is not going to slow down. It's going to continue. It's in our blood in our d. N. A. We in fact, hire people that are just not satisfied. The status quo on want to innovate and change things. Just, you know, innovation is the beginning of the end of the story, so, no, I don't have to spend any slowdown. In fact, when you add machine learning models on machine learning service that we're putting in? I only see it. An even faster hockey stick of the service is that we're gonna bring out. And I want you to come to reinvent where we're going to announce the mall and you you will be there and see that. All >> right, well, on that note thank you so much for giving us the update on healthcare Life Sciences in genomics. Absolutely. Want to see the continued growth and innovation in that? >> My pleasure. Thank you for having a show. All >> right. For Cory, Queen of Stupid Men. The Cube's coverage never stops either. We, of course, will be at eight of us reinvent this fall as well as many other shows. So, as always, thanks for watching the cue.

live from san jose in the heart of Silicon Valley it's the cube covering AWS summit 2016 hey welcome back everyone we are live in Silicon Valley for AWS Amazon Web Services summit in Silicon Valley this is the cube silicon angles flagship program we go out to the events and extract the signal from the noise i'm john for with my co-host Lisa Martin our next guest is Lowell anderson senior manager product marketing of AWS Amazon Web Services welcome to the cube thanks for having me it's great to be here first time cube alumni welcome to the cube alumni list love to get you on because you know you're in the product team and you're in go to market as well as you gotta look into the product suites and one of the things that's been super impressive of AWS over the years since I've been following you guys for a decade since you started in the cube of the past four years is the tsunami of product releases the cadence of jesse's law I call it yeah and Amazon's law which is just constant slew of releases more and more every time not just reinvented yeah you get the summit's which are exploding right there were tiny right years ago right got new york and here what's what's coming out now what's the secret sauce how do you guys do it and give us some insight into what's what's happening here well you know for us innovations in our blood it's a part of our DNA it's what we do we're really except to over 460 new services and features and we'll hit over a thousand this year of new services and features launched compared to last year when we hit like 720 I think something about in that range so the innovation train train keeps going and you know the way we do it is we number one we really focus on our customers one of the benefits of the cloud is that we can innovate and roll out changes really rapidly for them so just that the whole cloud environment allows us to innovate very quickly and very rapidly so that that's exciting and you see that in just a number of releases that we think that I just asked the previous guest on how do you explain the Phenom that is AWS and you know Andy Jassy went to business school the same year us I did and back then the competitive strategy ethos was built some proprietary technology build a fence protected with guards and guys with guns and old you fold the line yeah with open source though the new model is you can't do that anymore so there's one the open source is now a Tier one citizen right and two there's no real walls to build around proprietary technology so the name of the game is speed yeah it's all about speed and the cloud really enables that agility that's one of the biggest benefits that our customers talk about is how freeing up breaking down the walls of your data center effectively so that now your compute and your analytics and your storage expand beyond the walls of that building as rapidly as possible and and the use of open source as you measured I mean we're we're big proponents of open source we have a lot of open source services that that we support as well and and trying to help the developer community really bring those types of technologies to the cloud and enable that's a big part of our success as well it's clear that the competitive strategy game in this new world that Andy and the team are executing is really just more features faster than the competition there is kind of an arms race going on but that is the open source game so with that what is the are the big announcements here obviously this show is much more developer focused yeah yes more getting get getting the weeds breakout sessions one of the key goods that are being talked about here down here in Silicon Valley we really wanted to bring some more technical topics to the table and talk in that vein talk about a couple really key areas around focused around big data and what we're doing to help enable both small and large enterprises use data across their companies in in a more and to develop more competitive applications and make it cheaper make it easier to use and make it more performant than they could possibly imagine without the cloud so using big data is one of the key themes of the conference that we had today and then the other thing that we wanted to talk about was this movement from how we've been architecting services our applications in the past from being based on server to using server list which is really a whole new architectural concept that's allowing our customers to build applications in ways that they could never do before and do it at a cost that they could never make feasible in the past there's some great examples of customer successes that dr. Matt would talked about in the keynote one redfin I think we've all in orcutt have experiences with buying and selling homes but i loved how we talked about friends don't let friends build data centers that in the future it's most organizations are going to run their own data centers are not going to run their own Dana centers and move to AWS benefits like becoming data-driven big data the more users more data more insight you also talked about some of the things coming up you mentioned it to about building with services versus building with servers talk to us about some of the if you could spend a little bit on some of those examples one that particularly spoke to me was what alumina is doing and germs of genome sequencing I got my masters in biological sciences a long time ago and that wasn't even a thought back then or certainly was a massively expensive Todd was a little bit more about how alumina is doing that with AWS and scaling at cost to really facilitate breakthroughs they're saving lives right right well you know that's an exciting example because people that weren't able to see the keynote alumina is the largest genomic secant sequencing company in the world and they've really been able to implement a new architecture that's brought genomic sequencing from an industry that was done you know just for very specific scientific purposes to now something that can be done all over the world to support disease research yeah and and its really the power of big data that's made that happen and the reason they selected AWS for that is really just the breadth and depth of the big data services that we provide along with the global deployments that we support with genomic data they mentioned that for many many many many countries in the world they don't want that genomic data to move outside the boundaries of their specific geographic region and so sensitivity eight AWS is one of the few very few cloud providers that has that level of geographic specificity so you can keep the data within that specific compliance issues as well with that too lots of compliance issues of course genomic sequencing lots of federal and health care and HIPAA type requirements surrounding all of that type of information that AWS with our focus on security you know is able to achieve so so number one you know it's this Geographic capability which is a lot of luminarias lee deploy this in a global way but second it's really just a depth of services that we offer whether it's the data warehousing using redshift whether it's the ability to process that data at scale on Hadoop using EMR whether it's the ability to then deliver that data across the world and visualize it and upload it from all those different genomic machines that they've that they put into their individual customers research facilities all of that is capability that AWS is able to deliver to them at a cost I think one of the things he talked about they were looking for I think a hundred percent reduction or a hundred times reduction in cost over trying to do this themselves and and we've achieved that help working together with them you know they've been able to achieve that well I got to get your thoughts on the hybrid cloud because you know I'll see Amazon gets was traditionally pigeon-holed as just public cloud the lines are blurring clearly the success you guys are having it's been moving into the enterprise obviously the CIA delia beat IBM on that was a again different instance in the gov cloud but again in the enterprise deals you're seeing yeah it's up against the Oracles and the IBM's yeah what and they're all talking hybrid yeah yeah how are you guys are dressing it from a product standpoint how do you talk to a customer says hey amazon slow down i love you guys but yeah we need a hybrid on-premise solution yeah that's great great great question i think you know first of all I would say that what we've always said at AWS is really in the fullness of time we expect that you know no Enterprise is really going to want to run their own data center and so we still see that as the end vision that that's that we're gonna achieve in the long run and that most of our customers want to achieve in the long run as well but a critical conversations that they have what are their requirements and you got here is it migration of data yeah that's it so that said you know there's there's a lot of work to do between now and this in this long-term vision and so you know a few of those things that need to be addressed like data migration and we're working really hard to help enterprises move data up into the cloud it seems like it'd be a simple thing right you you take a picture you upload it to dropbox what why is that so hard but when you're talking about terabytes of data that have been in the corporate data centers with applications for years and years and years moving that volume of data up to the cloud is a significant about moving back to the enterprise and then vice versa again making it available for them to use and to and to move back and forth is a critical component so we've done a lot of work on a specific set of features and capabilities to make that happen amazon direct connect or AWS direct connect is one of those services that allows our enterprise customers to establish a high bandwidth connection to AWS regions so that they can move data back and forth the interconnect or to direct connect not going through the internet yes direct connect allows them to leverage private backhaul to establish a really high bandwidth connection and so we'd curity wise alone that's a big deal absolutely it is and then earlier or last year we announced amazon s3 transfer acceleration which is a service that allows them to utilize our backhaul to actually accelerate the upload of data into s3 before you has to use the internet to upload data to s3 and now what we've done is really extended that down to customers where if we can accelerate the transfer of their data to s3 will do that using our backhaul network for them so the next question on top that compounds the problem with data which you guys are solving and because this is I agree is a big challenge for enterprise customers IOT just complicates the hell out of it so yeah that's all about moving data around putting computer where the edges yeah this whole edge of the network definition really plays into some of the train around serverless concepts that you were mentioning earlier how does that relate to the data equation yeah so a couple of things let's touch on IOT for so I OT brings a whole new level of complexity in terms of the number of devices and the distribution of data that you need to bring up into the cloud and so we released this service we call AWS IOT last year at reinvent and what that does is it makes it really easy for customers to acquire data from billions of devices that might be generating trillions of messages at a time and when you think about IOT devices it becomes almost more complex because these devices may or may not be online all the time they may not have a high bandwidth connection they may not have the processing capability on the device itself to be able to update and optimize and do a lot of complex computing so you need a specialized service that can work with those devices when there's intermittent connections pull very small messages from those devices and ingest them on a huge huge scale and so aw SI io t is a service that does that allows our customers to ingest those billions of messages and then connect them to AWS endpoints big data services like red shift and s3 and Kinesis and lambda to process that data and generate applications that could never really be conceived before and today i thought i thought that the the whole discussion from iRobot was super interesting about how they're using AWS IOT to connect their what they call their home robots it's as you know their Roomba vacuum devices to the cloud and and really enable a whole new set of applications and vision for the connected home really interesting stuff enabled by the clouds well before at least answer question I just want to quote been Keogh who was with iRobot his analyst over there Sarah scientist transition I won't get your reaction to maybe Lisa you can chime in he just tweeted transition to the cloud colon treat servers like cattle not pets transition to server less cloud architecture yeah Crete servers like roaches wow that's a pretty bold statement yeah yeah it is but note note not a pet yeah I don't cuddle like a roach Amy's not not cattle it's roaches put the roaches out so taught some mean serverless sure caring servers to roaches let's talk about that that's that yeah let's talk about the evolution a little bit i mean if you went back you know a few years back to when i was writing software as a graduate from from college when you wanted to start off a project first thing you had to do was go buy a server have it delivered find a place to put it plug it in cola network guys get aboard cole router your security what you had it all plugged in you had to put the operating system on it and then you could put your development system on it and then you could finally get started to be months later before you could actually get the project started and it seems strange to even talk about it now but back then this was a a key thing that that limited our ability to start projects forget the cost yeah it's the time and then when you when you finally got it done and you release the application and you wanted to scale it you had to buy more servers and put them in the racks and figure out where to put them and so this just slowed everything down and so when we move to the cloud and we got the ability to lease or really rent servers in the cloud it took away a lot of the hardware aspects of that but still when you had to scale you still needed to provision more servers and you still needed to maintain and patch those operating systems in that software stack and so now what's happening with serverless and with services like lambda is all that goes away now it doesn't mean there aren't servers under the hood of course lambda has lots of servers under the hood that are cranking away and implementing your code at lightning speed but the difference is is you don't have to manage them anymore you don't have to think about them you don't have to worry about them and so with lambda all you do is is load your code up into the cloud it's executed instantaneously when you need it to be executed it scales on demand so as your application scale we can scale the number of lamb functions in parallel to execute your code depending on the load that you're putting on it and you only pay when that code is actually running so you're no longer paying every month for those servers that are sitting in that room whether you're using them or not so we've talked a lot about the services a tremendous amount of services that that AWS is offering compared with the three that you started with ten years ago we've talked about hybrid cloud the opportunities there enterprise in fact you're CTO just last week in London was talking about the challenges with enterprise are really kind of the shift that they want to help customers grow through a lot of capabilities a lot of speeds and feeds what's the the message brother who's the target audience as we wrap up here who are you selling these services to within organizations as we see the empowerment moving from IT to the c-suite two lines of business who are you going after to share with them and get them to come on board as customers whether it's Enterprise yeah yeah I think that's a really good question and it speaks a little bit to our evolution of as a company as well wear when AWS started over 10 years ago really focused on our developer messaging but what we've seen is the just the impact of the cloud is so significant that across the entire suite of different whether that's executives whether that's IT managers whether that's developers there's a significant value proposition that that really at every level across the organization high level of interest and so we're starting to see I think you saw today just across all sizes of companies across all industries and in even within government and an education and public sector a strong interest in motion there's really no industry or government type of agency that's not you know right now looking at not just are they going to move to the cloud but how quickly can we get to the cloud and so that's that's really expanded the scope gray synopsis that actually what dr. Matt would talked about with how infiltrated amazon is into of all the industries big in public sector big and startups born in the cloud now getting to be big and enterprise yeah so low we got one minute left I want to get your thoughts on as an insider at Amazon I'll see you out in the field here you talk to customers in the product marketing you have to look at that 20 mile stare in the marketplace but also talk to the folks internally engineering product management or talk about the coolest things that are going on right now in AWS that people should know about is the machine learning is it lamb does it rip yeah Reds what's the fastest growing what's the coolest tech yeah what is what are the jewels on the table right now that we should look at it and then explore and discover more about you touch on so many cool things I mean the fastest growing service now today is Aurora Aurora is our own my sequel database engine that runs on RDS and it's responsive that's been tremendous it it really offers enterprise-class database capability at a tenth the cost of on-premises solution so that's been that's really our fastest-growing service now it's really exciting in terms of this other stuff that we're just seeing tremendous excitement about you mentioned machine learning predictive analytics a lot of the work that we've been doing at amazon it's been part of our history at amazon for a long time mike says that was thing all everyone wants that right right right so machine learning of course is is something that you know we're gonna continue to see significant cars coming soon I don't know about flying cars it's certainly not on our roadmap that I'm aware of but you know who knows what Steve or what Jeff is working on right now so but we don't have flying cars on our super exciting I'm yeah I'm sure this is but it's again it's a software driven world mark injury since new thesis is not software eating the world but software powering the world and I think that's a whole nother concept its patents you know it's a global economy so a lot of great stuff always a great surprise to see the coolness yeah they did to us the new stuff thanks so much for sharing thank you in the cube this is the cube bringing you all the goodness of AWS here at if your summit in Silicon Valley I'm John Ford Lisa Martin you're watching the q

>>From the sands convention center in Las Vegas, Nevada extracting the signal from the noise. It's the cube covering AWS reinvent 2015. Now your host John furrier. >>Okay. Welcome back. And we are here, live in Las Vegas, Amazon web services, AWS reinvent 2015. This is Silicon angles, the cube, our flagship program. We go out to the events, extract the signal from the noise. I'm John furry, the founders to look in an angle I'm joined here today. Special guests on the cube. Andy Jassy senior vice president of Amazon web services. Basically the CEO of AWS. Uh, great to have you on the queue. >>Great to see you. Thanks for having me. Uh, >>Great. We always tell our tech athletes, uh, on the cube and you're, I know you're a sports fan and we love the MLB highlights, great company. Uh, you're a sportsman. We want to have kind of a, uh, sports chat here about tech. Um, my first question is the keynote, your smile, this year up there, you really had some color, some Andy Jassy, you know, some, some good vibes going, you showed a picture of your daughter. You had dynamic, you were, it was good. You feel different this year. I mean, you just introduced a lot of stuff. So you had good, good support. >>Yeah. Well, you know, first of all, being in re-invent is the best time of the year for all of us data Ws. So we're always very happy to be here and be here with our customers and our partners. And then we had so much to deliver and announced to our customers that we've been holding as a secret for so long that we couldn't wait to get it out. So it was fun to be, uh, asked to be the one to actually share all that information with our customers. >>You even showed a picture of your daughter up on stage. I was talking with too many men, uh, after that, I was like, did he get permission for that to ask? So did you get permission from your daughter? Cause my kids will never let me take a picture and put it on any social media. Nevermind. A keynote. >>Uh, you know, I, I saw a bunch of tweets where people said when I got home after the conference, that I was going to be in trouble at home. But the reality is I actually told Emma that I was thinking about doing it the next morning. And she was the biggest proponent of my thinking about doing it. In fact, she had, she had suggestions of what else I could say about her in the keynote. I said, no, no, no, really this is just about a story and a bridge to the security point, in which case she lost interest, but she was absolutely fine with having her picture >>When you're on the Snapchat, you know, you made it to the top grade of the, in the family community. Sure. That'll ever happen for them. Um, I want to get your take on just your mindset right now. I mean, you've been very successful. Obviously the numbers are all in the press, you know, 7 billion David, David, Jonathan, I always speculate probably 10 billion. You built the largest storage business since NetApp was founded. You built the biggest server business you have now business Intel, all this good stuff happening. You've built a disruption machine. That's really, really changing the industry. The big whales are kind of scratching their heads. They're in turmoil. Um, how do you feel about this? I mean like I know we've talked in the past privately one-on-one you kind of didn't plan it. You're going to go with the customer's going, but you've got an engine of that's also disrupting >>Well, you know, our, our goal is to try to build a technology infrastructure platform that companies and developers to build their applications on top of. And we started off with just this core set of building blocks that were compute and storage and database. And then we've iterated really quickly over the last nine and a half years such that we now have over 50 services and lots of features within those services. And we don't think of it so much as trying to be disruptive as much as just what customers tell us they want, that allow them to move more of their workloads to the cloud and for them to be disruptive in their businesses. They're pursuing what we're about is really enabling other businesses to be successful, whether it's a startup getting going, or whether it's an enterprise is trying to reinvent themselves or whether it's a government is trying to do more for the constituency for less money, >>You know, culture and a is defined, not so much with what the company says, but what the employees do. And, and AWS has a cadence. I call it Jazziz law and you guys are always shipping products. It's kind of a dev ops ethos, but it's also one of discipline. And I know you're a humble guy, but I want to get your take on that. How has that culture fostered internally? I mean, you're constantly putting out with people on coming on the cube. They're like, man, I'm so happy. They filled in the white spaces. Is that part of the cadence now within AWS just to keep shipping more and more, >>More features? Yeah, well, you know, first of all, fairly obvious point, which is anytime you've got a, a significant size business, it's never one person and it's never one person's culture. And we have a leadership team at AWS. That's very strong, has been together for a long time. And, and that group is very committed to iterating quickly on behalf of our customers. And you know, some of that, you set a culture around what are the dates that you're going to ship? What do you ask about meetings on where we are and whether we're on track and then what's your philosophy and on when you ship the products and we have a very strong principle that we don't try to ship all singing, all dancing, monolithic products. We try to pick the minimal amount of functionality that allow our customers to use the service in some meaningful way. And then we organize ourselves and hold ourselves to the standard, to execute on iterating quickly based on what they give us feedback and what they want next. >>You know, the, the business is changing the industry all over the place. The computer industry is now integrated. You guys have led that way, that, that disruption and the innovation, what's the biggest learnings that you've personally have walked away with over the past three years, maybe 10, but in the last three years, because you guys really have moved the needle in the past three years before that certainly the foundation has said been successful, but what's the biggest learnings that's been magnified for you personally? >>Well, I mean, there've been so many. We, we could spend 20 minutes just on the learnings, but I know the one I would probably pick is that I think when we were starting AWS, we started insignificant part because we saw a very strong technology company and Amazon the retailer that was thirsty to move more quickly and needed reliable, scalable cost, effective centralized infrastructure services and what you know, so we thought it had a chance to take off because Amazon needed it. And lots of other companies that may be less technical might need it as well. But I don't think any of us really internalized just how constrained developers and companies have been over the last 30 years. They, you know, builders really want the freedom and the control over their own destiny to pursue the ideas they have that could make their businesses better. And for so long at enterprises, they were so unable to move quickly that all the people inside the company just gave up hope and thinking about new innovations because they knew it was so unlikely to get done. And when you actually give them access to infrastructure in minutes and all the supporting services, so they can get from an idea to actually testing it quickly, all of a sudden it opens up all of the ideas that a company and you get lots of people thinking constantly about your customers and how you can solve problems for them instead of a tiny thing. >>You know, I, I know you're a competitive person. I know you're humble. They don't wanna admit it, but you always say to me privately, we don't think about the competition. We think about our customers and I get that, but you are actually executing a really strong competitive strategy just by playing offense. You guys are shipping more product, but the ecosystem is also now a competitive opportunity. But for you guys and your customers talk about your mindset on that. Because on the business side, you're creating a lot of value for people to make money. Yeah. Certainly in the ecosystem side. So describe your philosophy there. And is it still early days for you guys? It's still a lot more to do. Um, and some of the opportunities that the partners are >>So many opportunities for companies of all sizes to build on top of our platform and build successful businesses and it's astounding. And then we are totally blown away with what our ecosystem partners have built on top of the platform and the success they're having in their businesses. And there's no end in sight to that. I mean, all of these areas, every single area of technology. And I think every application area too, is being reinvented and has an opportunity to have new experimentation quicker than ever because the cloud allows them >>Move much faster. And you did take some shot at the competition with Oracle, obviously they're higher priced and you and you guys are w some of the calls were like a 10th of the cost. You offering products for free migration products. So you guys have that advantage with the cost. >>You know, we've built these database products from the ground up with the cloud in mind. So the power by the cloud, they're highly scalable. They're really flexible. And they have a cost structure that's much more affordable than what the old guard products were. It's why we've been able to add a Redshift, which is our data warehouse service, which is as performant as the old guard data warehouses, but a 10th of the cost same goes for Aurora, which is our new database engine, same goes for QuickSight, which is our new business intelligence service. And so we're building them from the ground up with the cloud in mind so that our customers can move more quickly, have whatever scalability they need, and also have a better cost for the internet >>Of things. Things we're pretty pumped about that we were talking about this morning. Um, but that's kind of one of those things it's kind of out there and edge of the network, connected device, connected cars, you know, pretty obvious it's not anything new per se, but now the way the market's evolving, it's a huge opportunity, right? So I want, is that a pinch me moment for you? We, we kind of saw it out there, but now that you're on top of it, you look at and say, wow, we're really poised for this. And then how do you see that evolving for Amazon? Cause it's almost like you were where the puck came to you guys. >>Yeah, well, you know, most of the big IOT applications today are built on top of AWS. If you look at nest or drop cam or Amazon's echo in the consumer space or alumina or Tata their, their truck fleet application, they build, uh, or Phillips lighting. Those are all built on top of AWS. And yet we always believed that it was more challenging than it should have been for device manufacturers to be able to leverage the cloud. Remember the smaller the device, the less CPU it has and the less disk it has. And the more important the cloud becomes and supplementing its capabilities. So we always felt like it was more difficult than it should have been to connect to AWS. And also for application developers were building the applications that really control these devices. They didn't have tools to deal with things like identity or to deal with things like the state of these devices and be able to build applications that have much more sophisticated capabilities. So that's what our AWS IOT platform capability that Verner announced today is about. And, you know, they're going to be millions of these devices in people's homes and in people's workplaces and oil fields. And we hope that it will be much easier for a customer for companies to build these devices. Now >>I know you're super busy. Thank you so much for that time. We got to ask you one final question. Is it a, is it a thesis, a thesis internally of your business that making things easier is part of the part of the core design cause you guys keep seeping, making easier and easier is that part of the cultural directive to the theme, make things simpler and easier and elegant. >>Everything we do is about the customer and the customer experience. And we're very blessed that we have all kinds of customer feedback loops. And one of the things customers say is we'd actually love using these services. There are some folks in the organization that don't want to have to dig into the details as much, if you can provide abstractions and make it even easier, even better. So, >>So I got to ask you, the baseball question says MLP was on the keynote. What inning are we in in the cloud? >>I still think we're in the first inning. I mean, it's amazing. You know, AWS is a $7.3 billion revenue run rate business. And yet I would argue that that, that we're in really the beginning stages of the meat of enterprise and public sector adoption. And if you look at the segments that AWS has addresses infrastructure, software, hardware, and data center services, that's trillions of dollars globally. So we're, we're in the really beginning stage >>You're Ignacio to who works on your platform. You can have MLB to TV, to, you know, IOT. Yeah. >>We want to enable all of our customers build on top of our infrastructure. Thanks so much for >>Spending the time real quick, Andy Jassy here inside the cube, the CEO of ADFS, I'm sorry. SVP of AWS, senior vice president. Um, built a great team. Congratulations. Great to have you we're live here at AWS reinvent, go to siliconangle.tv to check out all the footage. Next week will be a Grace Hopper celebration of women in technology computing. Uh, watch us there. We're going to continue our coverage after this >>Short break..