NVidia has a Trillion dollar market cap and their CEO is worried about disruption. Is healthcare vulnerable for disruption?
Today in health, it we're going to do a news Roundup. We're going to take a look at Microsoft. We're going to take a look at Amazon. We're going to take a look at AI. We're going to take a look at some of the virtual nursing.
That's going on. A lot of interesting stuff out there. And we're going to cover it. My name is bill Russell. I'm a former CIO for a 16 hospital system and create, or this week health set of channels and events dedicated to transform healthcare. One connection at a time. We want to thank our show sponsors who were investing in developing the next generation of health leaders. Short test artist side parlance, certified health, notable and service.
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Here's what we're going to do today. We are going over to our new site this week. health.com/news. There are six new stories out here and we're going to hit them and look at what they have to say. This is available to you. It's actually still in pre-release, we're working through the kinks on it, but you can view the news from around the internet, around healthcare, at the intersection of technology and healthcare. You can even sign up for a daily newsletter and have this stuff delivered straight to your inbox.
So the first comes from the Sioux falls business journal. I know isn't it. Isn't it amazing we can. We can pull from anywhere. Anyway, a Vera pioneers, virtual nursing monitoring programs, freeing up bedside nurses, ensuring constant patient assistance. Launched at a Vera McKennan hospital, Avera St. Mary's hospital supports task. Life. Like admission assessment, medication, reconciliation, pain, reassessments for Ram aims to aims at effective patient care.
Virtual nurses work with bedside nurses. Use tech for communication tasks developed pre COVID expanded during the pandemic, aiming to integrate with rural facilities tentatively. Plants expansion, initial feedback, positive reduced falls, improved patient monitoring. Noted. That's just a summary. That is of the overall website.
I didn't read from the actual article. So this expansion of virtual nursing is happening everywhere. If if your health system. I my guess is you're already piloting it. You're already expanding it. It is happening everywhere. It's part of this overall command center concept. Of being able to centralize and deliver services. To a broader group of people.
It's. It's really an efficiency play. It is a a way to extend the careers of some of your retiring nurses. It's a way of bringing your new nurses that are just coming at you pretty quickly now up to speed on some things. So it's a way of leveraging the historical knowledge. With the future generation.
So very interesting, awesome concept love what they're doing at a Vera. I think that's one of our sponsors. Our site is actually doing that. Check them out. Microsoft's multi $10 billion bet on healthcare. This comes to us from the medical futurist. I follow the medical futurist. I find it to be a really good content. And on this story, they really talked about. Just all the things that Microsoft is doing in the healthcare space and it is pretty extensive.
So Microsoft's understated yet. Substantial involvement in healthcare includes AI and cloud computing enhancements for medical practices and patient care key investments such as nuance. And open AI partnership underlying Microsoft's dedication to health care. AI integrations is cautious. Healthcare tech approach draws from past setbacks, focusing on cloud services and AI for improved healthcare data connectivity. And decision-making despite being less visible than Google or Amazon in healthcare Microsoft's contributions are considerably impactful and effectively advancing. Future medical solutions.
In fact, I would say. Microsoft's let's say, measured approach to healthcare. Over the recent years has been really well received. And I think they have made the most progress, especially in regard to partnering with health systems. And oddly enough, I would say Google's probably a second and Amazon's probably a third. In that category mostly because Amazon is trying to compete. So Amazon clearly is out there trying to compete.
Whereas Microsoft and Google are enablers for the health systems. So if we're measuring it based on the health systems, Use of these technologies. We're seeing Google make inroads. We're seeing Microsoft, just a pervasive at this point. And I think their investments will continue. I love Sacha is everywhere.
Satya just seems to understand AI and it's impacted and he understands. The the need to really cannibalize your own business. I've seen ways where he is not trying to protect some little section of their business. He is allowing. Other businesses within Microsoft to consume businesses within the market as well.
So a very interesting culture has created very interesting set of technologies that are going to market with. Next one. Th there was a study done. A Avanti cybersecurity research for is finds that tech savvy employees. Not as presumed younger professionals, less than 40. More likely to discourage security guidelines, increasing vulnerabilities.
Age-based tech savviness stereotypes could mislead organizations. Under forties, less likely to report phishing emails. Avante suggests relying on tech interventions rather than employees. Judgment. That's probably not a bad idea, to be honest with you. I think the thing that they really found in this study is that people under the age of 40 are willing to take more risks.
Think about it. They're willing to take more risks with their privacy. We have seen that privacy just degrade over time, but people who are older tend to be a little leery of putting their privacy information out there. Whereas the younger generation are like, eh, they have it anyway. What's the big deal.
The problem is when you take that into the corporate world, in that mindset in the corporate world, that can create some challenges for you. So I think that story is on there because I think this is an important distinction for us, the younger generation, just because they're tech savvy does not mean that they understand privacy and security. Better. In fact, they may flaunt the privacy and security guidelines of your organization. Because they know better. We all did when we were young.
That's just just the way it is. I'm going to skip this one, but the guardian, there's an article on how digital twins may enable personalized health treatment worth taking a look at. I will go quickly over this Nvidia CEO Jensen Huang says AI powerhouse. Is always in parallel, despite $1.1 trillion market cap. We don't have to pretend we feel it.
This from fortune magazine, it's really interesting. I think that somebody with a $1.1 trillion market cap sees that the AI marketplace is changing so rapidly that he's worried about the their business. That one specifically is out there to remind us that we are not immune in healthcare, just because we have very large businesses and large endowments and those kinds of things, we have to keep an eye on this technology. Keep an eye on its advancements and leverage it where we can. And guard against it where we cannot.
The last article. We've been wondering what Amazon's going to do with regard to chat GPT. And, you knew they were going to be coming afterwards. Obviously it made a huge investment. And an AI org organization, but this is from ZD net. I haven't read ZD net. Stuff in a long time.
But anyway, this showed up in my feed. I put it out there on the site. Amazon is working on its own chat, GPT, competitor meat project Olympus inside sources reveal. Amazon is gearing up to release the most advanced LLM to date. According to reports while Amazon has not shied away from developing and adopting generative AI across its different platforms. The company is yet to unveil its own rival to Chatsy P T however, a new report suggests the company is investing millions into a new large language model on Wednesday information, the information published a report. That revealed Amazon is building its own conversational LLM code named Olympus.
The report was informed by a person with direct knowledge. Olympics is being developed to be sold under to corporate customers. Let's much like the enterprise solution that open AI and Microsoft offer such as chat, GPT, enterprise and Microsoft copilot, according to the report. Amazon's new LLM is supposedly to be used to power new features in its online retail store, Alexa, voice assistant across its echo devices. And it's Amazon web services, according to the insider. Olympus. Could be announced as soon as the upcoming AWS reinvent 2023 event and is slated to perform better than Titan. A group of LLMs that AWS is currently selling to cloud customers.
And whose capacity is inferior to competitors such as OpenAI GPT for. According to a Reuters report informed by two people familiar with the matter Olympus will have 2 trillion parameters. Wow. For context, GPT for open AI is supposed to advance. LLM has 1 trillion parameters making Amazon's model twice as big and potentially one of the largest. LLMs ever built according to the report.
This is moving quickly and I don't know, one, 1 trillion versus 2 trillion smarter, better, faster. I guess that remains to be seen. Maybe there's other factors that go into how advanced the LLM will perform. I'm not entirely sure about that. I do know that there's a. Drive towards large art and the tour smaller as well.
So you have larger in your smaller. And maybe the large language models will be larger. And then you have these distinct AI models that are smaller. And then the idea to orchestrate these AI models together. To get more relevant and anyway. More relevant and a specialized it's interesting.
It's broader and more specialized returns on the requests that you make. So if you have a. If you have a A smaller model that is trained specifically on neurosurgery. Then if you ask it a neurosurgery question, as the thinking goes, it will have a better, more specific answer. Whereas, if you ask a large language model, it may not.
And so you have these large and large language models traditionally have been very bad at math. And so you have the ability to have a math. AI model and you have all of these work together, you can get better answers and better solutions. That's how the human brain works. It'd be interesting to see if that's how these things evolved.
I think all these stories work together. If you haven't yet check out our new site this week. Dot com slash news. Sign up for the daily newsletter. Again, still in a beta. You're going to see some mistakes on it. I'm sure. As we work through. Some of the kinks of the system we plan to go live January 1st.
We'll see how things progress. All right. That's all for today. Don't forget to share this podcast with a friend or colleague. We want to thank our channel sponsors who are investing in our mission to develop the next generation of health leaders, short tests, artists. I parlance. Certify health, notable and 📍 service.
Now check them out at this week. Health. Dot com slash today. Thanks for listening. That's all for now.