I mean, it's very interesting. This is the Cerner system that we got when we bought Cerner. And it actually didn't have a lot of people working on it. It had been a deemphasized area in Cerner. It became very important for us. That was a quick video. It was very important for us because we thought we need to automate the labs. We need to automate the labs and we need to collect the data directly out of the labs and put it in the EHR and actually send the lab results to the doctor, to the patient electronically, on the patient's smartphone. For example, you go to the lab and have a PCR test for COVID. Yeah, there should be an automated way that you can notify a patient, you know, what those test results are, an automated way you can notify your physician, you know what the test results were, an automated way to put that the electronic health records. Next video, I'm going to.

to show you uh is uh another another robot project at Oracle. This uh this is an ongoing Oracle project during co uh where we're building um a microfluidics blood lab uh for a COVID immunity test. And this is kind of the Next Generation. I hope they played the video. Um they're building these microfluidics discs that test you for your immunity levels for COVID. I mean right now I mean I think I'm scheduled for yet another booster uh tomorrow with the latest variant of COVID because there's really no convenient way easy way for me to find out what my COVID immunity is. I just know how many boosters I've had. I didn't know what my immunity level really is. So there's this company that's that's working on a blood test that will measure your immunity level. And you do the blood tests in these these little laboratory disposable laboratory in a dis. And we're building the robots uh robots that that that build the discs. So we're building robots that build Blood Lad robots if you will. And that robot is

attached to the internet, and it will tell you and your doctor at the same time what the results are. So it is, again, collecting data and making the data available to patients, to Physicians, and the anonymous version of that data available to AI models for training. There's an enormous amount, again, enormous amounts of data that's going, uh, that we need to collect. There's an enormous amount of training data we use. We need to use used to build these models that will provide information and help to people in the healthcare industry. But right now, this is going to shock you. Genomics data, genomics data is discarded. An Oxford Nanopore was using, trying to store their data, their genomics data in the cloud, and it became so expensive they decided just to throw it away, just throw it, throw it away. Imaging, which wants to, would love to look at a hundred times more biopsies, you know, more, more images of biopsies than they

currently have, but those images of biopsies are on slides. They're not even digitized. And one of the good things about the Oracle Cloud being less expensive is the Oracle Cloud now provides an economical solution to this problem. We can digitize these slides, we can save the omics data. We're not going to be throwing it away. Instead, we're going to be feeding it to Big AI models where we get a huge, huge payback. Again, payback in terms of better outcomes and lower costs in medicine. Okay, I focus. I've used my example for most, most of AI, um, medicine, uh, but there are other industries that can be transformed using these 21st Century Technologies and generating applications. What does it mean when I say we're going to generate applications, uh, rather than write them in Java? I said teams are going to be smaller and they're going to write applications faster. Does that mean we're going to have massive layoffs here at Oracle? No, uh, no, we're too ambitious for that. What we are is going to try to do a lot more. We're

going to gen because because we can generate programs. We can tackle things that are much bigger in scale than we, we've been able to tackle in the past. We have better tools for building applications. We can build better applications faster, so that's means we're going to be building using the same Technologies to be build more applications and more Industries. And I thought I'd give you a couple of a couple of interesting examples. So Apex front and center, an application generator. Don't hand code things autonomous database population scale data runs, you know, runs without without a DBA without a driver robots and sensors. What are so what are the kind of things we're looking at well along with a partner actually Danny hills's company applied inventions we're looking at an industry even more Primal than health care. We're looking at the agriculture industry which started about 10,000 years ago in the floods on the Nile Delta when Egypt was the huge supplier of grain to the

to the Roman Empire, uh, actually there was no Roman Empire 10,000 years ago. That was a couple thousand years ago, but agriculture started 10,000 years ago, uh, on the Nile. So when you grow indoors, uh, turns out you use a tiny fraction of the water, uh, than when you grow outdoors. 98% less water. And water is our most precious commodity. We are running out of fresh water, uh, and as our climate changes, we need to adapt to those changes. We need to slow the rate of change, and we also need to adapt to the change. And droughts are now occurring more frequently in, uh, in the Horn of Africa in Ethiopia and Somalia. Uh, and one approach is to grow with less water, grow indoors with less water. Uh, you also use much less land when you grow indoors because the plants don't reach full size until right almost right before they're harvested. And if you have a greenhouse and you migrate the plants, you start

them small and give them a little more room, and a little more room, and a little more room, and then a lot of room right before you harvest them. Harvest them, then you go back to seedlings. You save about 90% of the land when you grow indoors, so we don't have to burn down the Amazon rainforest to create more arable land for farmers. We don't have to steal animal habitat in Africa because we need more arable land for farmers. We have enough arable land to grow all the food we need, but we need a combination of growing indoors and outdoors. We need to grow near population centers so we don't grow in Chile and then ship that food to China. We don't grow just in Chile's outdoor growing season. The great thing about growing indoors is every day is a growing season. Every day, every day is a hard. You can grow near population centers, and if you don't transport

the food as far you dramatically lower the uh the greenhouse gas emissions uh produced by the way agriculture. I think it's s like 35% of all Greenhouse emissions um um uh gas emissions by the way. I'm not talking about indoor green houses you're growing in I'm about the planet Earth is one big Greenhouse uh. You uh 35 agriculture uh is responsible about 3 5% of of CO2 and methane and other greenhouse gases so grow close closer to big cities a harvest every day means you have less expensive uh fresher more nutritious food and and you have better job security because it's not seasonal it's not you know there's a growing season in Chile you harvest a bunch of strawberries in Chile you go down there and then once the Harvest is over you're done you migrate someplace else to harvest some other crop uh this is an every it's a more more like a factory job you go there every day there's a far Harvest every day uh there's more job

security that way. But there's also better job quality if you're harvesting, even if you're harvesting by hand. It's not a robot harvest. You're harvesting by hand, you're doing it sitting down in a climate-controlled area. That's way better than leaning over with a knife and cutting, cutting an aroke off a plant growing on the ground. So it's all together vastly more productive and better for everyone to grow, grow indoors. There are challenges to do this. You've got to build, build a greenhouse that works efficiently. Any place in the world might mean you have to put in a local solar power station. We do that. Or, you've got to build a complete growing system. You, it's got to be the greenhouse building, the irrigation system, the sensors, the robots. You've got to manufact, you've got to design that all together. It's like a car, every single piece. The greenhouse is a unit, they're all the same. It's a standard greenhouse design. It can grow lots of

different crops. You have a robot factory that builds them. You put them into standard shipping containers. You have a robot that digs the foundation of the greenhouse, and you snap it into place. You snap it into place very quickly. You assemble it very quickly, use modules very quickly, and it's always connected to the cloud. It's always gathering data. There is always being directed by the cloud. The nutrition is being detected when a plant that doesn't have enough water, doesn't have enough nitrogen. It's by a cloud system, and the irrigation system puts nitrogen in the water and takes care of that problem. It's a modern approach to an industry that's 10,000 years old. Sound familiar? We collect huge amounts of training data about sunlight in different areas, nutritional data, the plant images tell us when they're ready to transplant, when they're ready to harvest, and the plant genetics allow us to develop new varieties, more robust.

varieties that grow better in different climates uh and are more desirable in different cultures and um in the hydronic uh Greenhouse house. The heavy unpleasant jobs are done by robots. It moves entire rows of plants. People aren't allowed to go in the growing area. People go in the harvesting area. People don't go in the growing area because you don't want to contaminate the plants. You don't want to have infestations bacteria eoli insects and like that. So you don't need any pesticides because it's really a clean room. You're growing in a clean room. Okay. And it's not like a fantasy. We're just imagining. The company has about almost a million square feet that's currently growing. This is the latest version of the greenhouse. I don't if you see kind of in on the left left hand side of the picture you can see the overhead robot lifting up several rows of plants to be transpl moved to be

transplanted it just as well be moving moving it into the harvesting area. Uh, the new generations of the, so there are greenhouses producing Hawaii, there are PL greenhouses producing in Canada, and this New Gen, the latest generation of greenhouse, is being developed in Southern California, and you can visit it if you want to in the fall. So, congratulations Danny Helison team, they're doing a fantastic job tackling a problem that's 10,000 years old. Uh, they're using applied Dimensions using the Oracle Cloud, the autonomous database NetSuite to manage the business, and collaborating with the Oracle engineering team on AI, IoT, robotics, analytics, and with Tesla on the satellite Network. Okay, another thing I think we need very much is better support for our First Responders, and here, the first, this is an Oracle project, so we built a network for our first responder. It's an audio-visual network that never fails, that always works. I don't

know, I mean, the tragedy in Maui. One of the things that contributed to the tragedy was they lost the cellular network. The cellular network failed. This will never fail because it's not just a terrestrial network, it's also a satellite network. They both operate simultaneously, one backs up the other. So, for first responders, the network is not allowed to fail. Again, always on. It's a combination of 5G and satellite connection. It's for electronic or emergency medical technicians, firefighters, police officers. They have wearable, they wear computers. The police, they actually wear computers. If a fireman falls down, if a policeman falls down, you know, the accelerometer on the computer does that. The firefighters have always on cameras, the police have always on cameras. Those cameras are not recording on the camera, the camera is transmitting to the internet and to a command center who can see what the firefighter can see who can.

see where the firefighter is who sees what the police officer sees so there's a command seter a realtime Command Center so the EMT is never alone they're always in contact with a hospital emergency room the uh when when they got a patient in transit uh the firefighter is never is never alone uh when they're fighting a brush fire uh they're connected by satellite and if the wind changes and the wind changes the command center can will notify them of that uh to avoid to avoid a tragedy uh a police officer who's in a difficult a young police officer who's in difficult situation a rookie police officer always has supervision oh there's always someone in the command center sees exactly what that officer sees and can assist them and supervise them so a lot of the tra tragedies some sometimes under pressure of people make make mistakes uh EMTs make mistakes police officers make mistakes firefighters make uh they're now always being supervised and assisted in doing their very difficult jobs uh with the people in the command center

collaborating with the people in the field, that's real. Uh, that's an, uh, or that was the first Oracle police car. Excuse me, uh, and we had to put in, if you will, a Tesla-like screen in the Tesla position, uh, where the application, uh, the navigation application, uh, checking drivers, uh, checking, uh, license plates, things, things like that, all, all, all is done. All voice, all voice-activated. Everything is voice-activated. If there's an incident the officer is driving to, they will see what the officer who's already on site sees from their camera. They see what's on the audio-video network. Uh, our next-generation police car is coming out very soon. It's, it's my favorite police car. It's my favorite car, actually. It's Elon's favorite car, uh, it's incredible. Uh, I know too much about it, some of, some of still, uh, to be disclosed, but it, among other things, it's, um, very safe, very fast, um, it's got a stainless steel, a stainless steel body, and we don't have to add a screen to it because we don't

have to add cameras to it because already. We actually use their existing cameras and their existing screen to put our application, our application, our uh up for people in the uh in the Tesla vehicles. You can use a non-Tesla vehicle, and we can enhance it, or you can use a, you can use a Tesla vehicle. This all this stuff is up, up and running. It's actually deployed in Stannis County. I know for the police, and I believe also for the fire, which uh, you know, one, one, uh, Command Center, uh, it's, it's, uh, s county is, uh, a rural area, uh, in California near Yus Valley. And of course, uh, it's an area California summers are getting are getting drier also an area vulnerable to, to brush fires, uh, and we're very worried about again, uh, brushfires and firefighters who are in remote areas where there is no cell surface. So we have to communicate with firefighters by, you know, using satellites, and we have to inform firefighters in a safe way using again robotic drones and, uh, the drones are, are fabulous during the during the.

dry season, uh, they can be used for monitoring fire, fire. Uh, monitoring for forest fires, they can be used for in urban areas for, uh, during heavy traffic, uh, they provide improved situational awareness, uh, very important during fires to know what streets are open and what streets are closed and know and know immediately and be able to let people know immediately what's the best way to exit the area, what's the safe map to get out of the area. Okay, this is my. You'd probably be grateful. This is my last topic, uh, my last topic is multicloud, uh, last week I was up in, uh, Redman Washington with SAA Adella, the CEO, uh, of Microsoft and we had a wonderful chat and we agreed on one big idea and that big idea was clouds should be open, they should not be walled Gardens, clouds should be interconnected and customers already use multiple clouds, I mean people don't go to one and only one Cloud, uh, in infrastructure, uh, there are four

hyperscalers uh AWS uh Microsoft Azure Google and us uh and there are a lot and there are a lot of application clouds but there's still Cloud but people use stuff from AWS and they use stuff from Google and they use stuff from Oracle and they use stuff from Salesforce and they use stuff from service now and and that it's our job to let customers once customers choose what they want to use to make all of that stuff works seamlessly together to interconnect those clouds in such a way that if you want to have used the Salesforce sales automation application and then have a data warehouse in Oracle for example where you you mash up that data with other data that that's a very simple straightforward thing to do because the two clouds are connected if you want to do use open AI chat GPT with an oracle autonomous database so you want to use something from Microsoft and you want to use Microsoft teams you want to use Microsoft Office you want to use Chach any of the Microsoft J gbt with or

Oracle an oracle that that should be easy to do it shouldn't there shouldn't be a wall between Microsoft's cloud and the Oracle Cloud. There shouldn't be a charge if you want to move your data out of the AWS cloud and put it into a database in the Oracle Cloud. That is your data, I think you know. So those clouds should be interconnected, and they should seamlessly interoperate. And we used to call that open systems, and we think Sacha and I think the world's going back in that direction. Customers are insisting on it because they use multiple clouds. We started experimenting with this back in 2019. We Internet-connected our clouds. We had a lot of successful customers, and then we decided we need to do even make it even EAS, but it wasn't that easy to you get high-speed interconnect, but you had to you had to be fairly sophisticated to connect Microsoft services to Oracle Services. We decided to make it completely transparent so you can go straight to the Azure.

portal and configure an Oracle service like the Autonomous Database and connect it to a Microsoft service and make it really fast. So what we've decided to do is actually build Oracle Clouds right inside of Azure data centers. And full Oracle Cloud inside of the inside of Azure data centers that make you can go to the Azure portal and configure everything you need from Oracle from Microsoft and it just works. And it works super fast and there and there are no charges. There are no data entities. It's your data. It is your data whether it's in an Oracle Cloud in a Microsoft Cloud in an AWS Cloud in a Salesforce Cloud. It is your data. They shouldn't charge you from moving it, okay. And again it's the full Oracle Cloud. It's um it's everything. In fact all Oracle Clouds are are the same or all clouds have the exact same hardware, the exact same software. The only all Oracle Data Center the only thing they vary by is by scale. Some are big, some are small, but they all have all of the services all of the

services every one of the clouds because of that it's very because they're standardized. When you standardize something, you can automate it because they're all the same. So they use the same automation. So our cloud is very different. I mentioned the high-speed Network. The other thing is the fact that they're all the same. That they're standardized allows us to have a high degree of Automation in our Cloud, which makes it much less expensive to operate and much more secure. I think I said right at the beginning of the presentation, the almost all security problems are caused by human error. When you automate the cloud, you get we have autonomous Linux, we have autonomous database, we have when you automate the cloud, you eliminate human labor, which makes it less expensive, and you eliminate human error, which makes it much more secure and reliable. You just got to be willing to spend less. So we put the whole Oracle Cloud inside of uh the Microsoft cloud. They're collocated, so there's no latency, the network super fast, very convenient and easy to

use uh Oracle has more this surprises a lot lot of people where Oracle has more Cloud regions than any than AWS than Azure uh than Google uh right now we have 64 regions major regions uh but in addition to these major re regions in addition to these major regions we have this very interesting thing called the drcc a dedicated region clouded customer so we can put the Oracle Cloud all of it inside of a customer Data Center and you know so the customer can just choose what data goes in and who the users are they can uh they they can have complete control of who goes into that data center it's the full Oracle Cloud uh Oracle owns the hardware you pay for what you use uh Oracle manages the hardware not man but doesn't doesn't but doesn't look at the we don't look at the data doesn't manage the data doesn't decide who goes in there that's your Cloud that's a dedicated Cloud you decide who goes in there interesting company nura research has a couple of these drcc and

they're buying two more. They're going from two to four of these. And what they do is they actually, they're a big consulting firm, an IT consulting firm, and they sell their services plus Oracle cloud services to the financial industry in Japan. And they actually run the Tokyo Stock Exchange in the Oracle. Their Oracle Cloud. It's the only case of a major Stock Exchange being run in a cloud any place on Earth. I mean those applications haven't migrated to the Cloud yet except the Oracle Cloud, which is highly, highly reliable. It has to be reliable. Stock exchanges can't stop or people get very upset. So, and they're also a big Apex user. I mean they, they are Apex fans. I'm not going to say Fanatics. I was going to say fanatics, but, but, but they've dramatically cut their development costs by using Apex and generating applications rather than hand coding them. We think this is an important new development. The fact that the clouds are now small.

enough Cloud. The full Oracle Cloud is small enough. We could put one right right in Azure. We can put them in. In fact, we're building, I think, a dozen of them, a dozen data centers in Azure, data centers with Microsoft. Uh, we're building them at, at specific customer sites. A couple of big phone companies are, are getting them, uh, to run their network. There are a lot of examples of this, and we think right now we have, we have more data centers than any other hyperscaler, but still, we're, you know, we're on our way to 100. We think, looking at the price of the DRCC, uh, we're going to be the hyperscaler that measures its data centers not in a, not on the way to a 100, but really on the way to a thousand. And this thing connects to all the other Clouds, so it will connect to the Salesforce Cloud, it will connect, uh, to the Microsoft Cloud, it will connect. It will be your interconnect to all of the other clouds, plus it'll be your own dedicated Cloud region, fully automated.

fully modern RDMA network everything at a very cost that may fit your budget. Thank you very much. Thank you.

오라클의 미래 비전: 래리 엘리슨 기조연설 2부

안녕하세요! "미국 빅테크 필수 번역 영상" 채널에 오신 것을 환영합니다.

미국 빅테크 기업 뉴스 번역과 분석

이 채널은 구글, 애플, 아마존, 마이크로소프트 등 미국 빅테크 기업의 최신 뉴스와 기술 동향을 한국어로 번역하여 제공합니다. 글로벌 테크 기업의 혁신적인 사례와 CEO 인터뷰를 통해 최신 정보를 쉽게 접할 수 있습니다.

주요 콘텐츠:

미국 빅테크 뉴스 번역: 최신 뉴스와 동향을 신속하게 번역하여 제공합니다.
기술 혁신 사례 분석: 빅테크 기업들의 혁신적인 기술과 사례를 깊이 있게 분석합니다.
CEO 및 전문가 인터뷰 번역: 업계 리더들의 인사이트를 제공합니다.
테크 산업 트렌드: 미래 기술 트렌드와 전망을 소개합니다.
채널의 목적:
이 채널은 여러분들이 미국 빅테크 정보를 빠르고 쉽게 이해할 수 있도록 돕기 위해 만들어졌습니다. 제가 직접 선별한 유익한 콘텐츠를 통해 최신 기술 트렌드를 파악하고, 중요한 인사이트를 얻으실 수 있습니다.

왜 이 채널을 구독해야 하나요?

신뢰할 수 있는 번역과 정확한 정보: 미국 빅테크 기업의 최신 정보를 정확하게 번역하여 제공합니다.
최신 빅테크 뉴스와 분석: 최신 소식을 빠르게 업데이트합니다.
쉽게 이해할 수 있는 콘텐츠: 테크 산업에 관심 있는 누구나 이해할 수 있는 유익한 콘텐츠를 제공합니다.
최신 미국 빅테크 소식을 놓치지 않으려면 지금 구독하세요! 유익한 정보를 놓치지 않도록 좋아요와 댓글도 부탁드립니다.


오라클의 미래 비전: 래리 엘리슨 기조연설 2부

Scripts