 Welcome back everyone to theCUBE's coverage here at Reinvent annual conference for AWS. This is theCUBE, I'm John Furrier, your host. It's our 11th year covering Reinvent. It's been quite the journey and we've watched the evolution of the cloud just continue to grow. This year, it's been really a big story around generative AI. That's the next function, step function level of change the industry over the past year has been talking about how data and how generative AI specifically is changing the expectations of users and also how applications are being built. We've got a great guest here, Angela Shipley, who's a senior physician, executive. AWS, thanks for coming on theCUBE, appreciate it. Thank you for having me. So obviously healthcare and life science is a huge market for generative AI. In fact, I was at an event and we were talking about entrepreneurship and all the hot stars and all the LLMs. And one of the CTOs of a big company said, actually it's the regulated industries that are actually taking advantage of it because they did all the rules. The advantage of all the compliance has kind of set up. So there's a lot of data kind of labeled and it's kind of low hanging, a lot of low hanging fruit. And I said, that's an interesting perspective. So healthcare, fintech, oil and gas, a lot of these verticals are actually pretty well set up for generative AI. Is that the case? Or is it, I mean, what's the current state of the GNI in healthcare? Sure, so one of the things I'm hearing when I have the opportunity to talk to healthcare customers is they're talking about three big areas that are important to them. So one right now is what's happening in terms of the cost of care between labor costs, between what's happening with supplies and also with the cost of care itself. So being able to look at generative AI is going to help them. So and being able to look at just AI and ML alone. So let me give you an example. If you want to have a better idea of what kind of workforce you need, how many people do you need on shift at that time? What supplies do you need? Predictive analytics can help you get there. And then over time being able to look at what happened during that time of the year, during that time of the day, and then you can help better control those costs. Another area where we're seeing healthcare providers really talk about this is with their workforce. The workforce is saying I want to be an environment where I have the training and tools that I need right at my fingertips. It's another area where you can use generative AI to do that. So one of the things you can do is some of those repetitive tasks, the ones that are duplicative, you can take those away with Gen AI. So then they can work at the top of their license, which we know is really important for worker resilience. And then the third area are the patients or the consumers, depending on where they are on the healthcare continuum. One of the things we can do for them now is really personalize the care just for them. Providing insights that are at the fingertips of the healthcare worker. And so that patient feels like they're talking right to me and what's important to me. So those are three big ways already that are going to really change what's happening in healthcare. And that's interesting you brought up those three things. I mean, I just was talking to Julie Sosa from the sports team. And since they have the same kind of thing, you got the athletes, patients, how to run the team management, and then the facilities. Kind of the same integrated dynamics that were usually siloed in the past. Can you give some examples of people putting this in action now? Because I'm not going to imagine the productivity gains and efficiencies gained from this, probably pretty significant. So later on today I'm going to be a moderating session that's going to talk about sudden cardiac death. And one of the reasons why the organization who we play for is able to tell schools, school districts, healthcare organizations, as well as sports teams who might be at risk is because they've been able to take thousands of EKGs, run them through a computational model and be able to say who's at risk. And so they're going to be talking about that today. Talking about how they're using AIML to provide that information. And then a healthcare provider is going to be talking about how that's utilized. So being able to see several organizations come together. So we talk a lot about, can you learn from different industries? You absolutely can. And I think healthcare does a really good job of looking to other highly regulated industries like Fenn looking at the government, looking at the automobile industry. They're looking to others to say, how can we use technology that they've already used and implement it to help take better care of patients? That's a great call out point. We've been hearing this this year at Reinvent that it even came up in the keynote briefly. It's working with other data sets, not necessarily your own, you mentioned that. So like you can just look at that. And again, this came up in another conversation where it's like you can look at data from the geography in an area. That's in your data and mix and match data from other sources. Not in a data marketplace way to like sell, but like just for insights. Absolutely. So you think about, that's why we get so excited about HealthLake. Being able to bring in disparate data from lots of different sources, bringing it together. So now we have information. We can turn that information into true insights that help us have in healthcare can help our customers have better analytics. That's HealthLake. Yes. So explain HealthLake real quick. So AWS HealthLake allows customers to bring in data from different sources, unstructured, turns it into structured data that then can be put into, then you can use another service like AWS QuickSight, right? And then you can visualize it and see what that's actually telling you. So you're getting insights from that data. Then you can use it for better operational efficiency, better clinical efficiency. How can you better take care of a particular patient population? Where, what areas do you need to go to next? That's what you can do when you put services together. You know, the code whisper thing and two with Q, amazing opportunities for, I won't say creative, it's not a creative like a creative, problem solvers, it could be anyone in the organization now. The democratization, again, overused word, is now in place. So anyone could identify something and use the data if they have the HealthLake and Q. Yeah, you're absolutely right with that. And we do use that word democratizing the data quite a bit, but I think it's really important. It's really real now. It's real and it's really important. So one of the things that healthcare organizations are saying right now is I might be on the continuum of builder to buyer, but I can upskill and educate my organization. So we have over 600 courses online that can be accessed, or you can have people in the organization who really want to upskill and get a certification, or they come to some place like re-invent where they can really engage live. And then whether they're going to be a builder or they just want to better talk to those partner vendors they're going to have collaborating with to help solve problems, they're ready to do it and they're better informed. I mean, Angela, this is an exciting year for me. I tell you because every re-invent, there's always good stuff, but there's rare moments in life where you have a major change and the word legit next level has been said probably multiple times on the queue, past couple months. This is next level stuff. This is not, I mean, go back five years ago. It was just coming out, you had APIs, you had apps, but now the entire game has changed. It's not just for coders. You got with queue that brings that kind of business user code whisperer vibe. So code whisperer is going to do great stuff to converting databases. So a lot of stuff that's old, antiquated, kind of either in place for regulatory reasons or maybe just they know it's secure, they don't want to touch it, right? Or you see this a lot in healthcare where it's like there's a lot of ransomware because of it. So it's a lot of like older stuff laying around in the hospitals and the institutions. And that's an opportunity to modernize. I feel like this is an opportunity to truly accelerate business. So now going to the cloud, adopting this technology, having the infrastructure ready so you can have whatever is the next emerging technology, gen AI and beyond, that's what's happening right now in healthcare utilizing all these services. So now that you can take different people in the organization and make it easier to do their job. So now those resources in IT have tools at their fingertips so that it's easier for them to move forward. Now look at how much more that they can do. Yeah. And the patient care too angle is really huge because one of the things that's been great on some of the consumer side is I got my eye watch, got my health apps. Now you got AI for nutrition. Hey, make me a meal. I don't really like this food but I want more vegetables. It'll actually give you the recipes now. It's so good, right? It sounds so easy, but it's convenient. So you have the patient or person and then this predictive, hey, I want to sign up for that heart attack thing. I want to know. I'm not going to have one. As a physician what we've always wanted to do is to really make the patient and the patient's family and whoever their caregivers are part of that healthcare team. So now we have these tools to make it easier. Whether it's communication from the electronic health record, whether it's an app that they have that's going to further give them more information. How do, what should my diet look like? What should I be eating? Helping them monitor their progress. This is what we've always wanted in healthcare to really have a team taking care of that patient and to do it outside of the four walls of whatever institution they are. And you know, not to sound like it's more of an operational thing, but one of the challenges I've heard a lot on theCUBE is that preventative side of it helps clear the unwanted patients that shouldn't be in the facilities. Make that more optimized and peaked for when they need it. Absolutely, absolutely. The goal would be to prevent disease from happening. So what's the coolest thing you're working on right now? That's because you're in a great area. It's got a lot of change. So many great things. Give us a few highlights. One of the coolest things working on right now are those organizations, again, who are really looking at predictive analytics. Very excited about that. Very excited about knowing when a staff member's going into a shift, they know exactly what's coming and how it's going to go. So really excited to work with healthcare customers about that. Excited to work with healthcare customers who are saying, I now have those disparate data points coming together and I'm being able to use it to know exactly what I need to do for clinical efficiency. And that clinical efficiency is really important. It's eliminating waste. It's giving those patients that personalized experience that they want and it's reinforcing the workforce so that that resilience is there. The other thing I'm really excited about that some of our healthcare customers are doing is they're looking at what can we do to better make sure we have access to care to all populations, right? At AWS, we think it shouldn't matter where you live to have good health. And so we're really helping with that by looking at health equity from a standpoint of the data, the access to care, and what do we know when we bring all that together. So really excited about organizations who are using it right now to better understand the patient populations that need more help. You know, my daughter interned this summer at OneMedical and I didn't even know that OneMedical's part of Amazon are kind of affiliated but it brings up the personalization side of it and how the changing landscape is out there. Now it's not a OneMedical question but the idea is a lot of things are going on in our organization with Amazon but personalized care has been a dream too for a long time. And AI is the perfect storm for personalization because you have the data. So the question is, is the data set up for that? And what are facilities doing? What providers doing for getting that data so it can be leveraged? Because data sharing but also insights is how much, what data do you have? So tomorrow I'm going to be in a session with Geisinger Health. Their chief technology officer is going to talk about why they're putting their electronic health record in the cloud. Part of the reason they're doing that is so they can get all of those data points and utilize them across the organization. So it's going to help them take better care of patients. So it's absolutely possible. So they're doing it now? Yes. So I think that solves the whole siloed data problem and the benefit to users is what access to other records to get insights around either pre-existing stuff or data. So the benefit is you have all this information inside the electronic health record and now it can be where it needs to be. So is the patient in the clinic? So in the clinic setting you have the information you need. Are they in the acute care setting in the emergency room? Now you have the information that you need. Is it a visit just for other resources in the health system? All that data is where you need it, when you need it to help the patient have better healthcare. I saw on the keynote, Pfizer was up there. Huge story there. The organizations are getting changing a lot in healthcare and pharma. What are some of the examples that you can point to that people can look to and say, that's the future scenario of a company. This is an example of what success looks like as they transition their company to this new level of opportunity. I'll tell you what, healthcare is an ecosystem, right? Of payers, providers, life sciences, companies, all working together for better health and to personalize care. One of the organizations I really like from a provider standpoint is Baptist Health South Florida. One of the things that they've done is they've moved everything to the cloud. And their goal in doing that, again, across their business, whether it's clinical or business operations, they know what's happening and they can act quickly on behalf of those patients and the others that they serve. I had a chance to talk to Adam Sileski for an hour before re-invent for a story and what came out of that was, data's your differentiator. And he said that in the keynote. And adaptability, this is what you get when you bring it to the cloud. Absolutely, there's a large part of the data right now in healthcare that's not being utilized to the extent that organizations would want and that's what coming to the cloud can do. It can really make that data available to them. Final question, what should people do to take that step in the cloud? What's, is it cultural? Is it physical, technical? What's that challenge? What's the advice you'd have for folks watching they want to accelerate the journey to get that data in a place like a health lake or in a place where we can leverage it? I think one of the first things I would say is at AWS, we have for more than nine years had a dedicated healthcare and life sciences practice with people just like me who used to be a chief medical officer, a physician, a pharmacist, a nurse. So we've walked in the shoes of our customers. So as we start to come together, as we look at those mission and strategic goals, we understand what you're trying to do. As we work backwards and we collaborate on how we're going to get there, we're going to help you have those conversations both within your organization and outside of it so that you can really begin your journey of being in the cloud. So you're ready for the emerging technology. That's the goal. Angel, thank you so much for coming on theCUBE, sharing your insights. Love this topic. You know, hey, preventative. I need all the help we can get on theCUBE. Thanks for watching. More coverage after this short break. Back to the studio. We'll get back to the short break.