Microsoft dumps billions into Open AI, does this mean good things for healthcare?
Microsoft invest billions in 📍 open AI. What does that mean for healthcare?
my name is bill Russell. I'm a former CIO for a 16 hospital system and create, or this week health, a set of channels dedicated to keeping health it staff current. And engaged. We want to thank our show sponsors. We're investing in developing the next generation of health leaders, short test and artist site two great companies. Check them out at this week. health.com/today. Having a child with cancer is one of the most painful and difficult situations a family can face.In:
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All right. Got an email. Somebody asked me a question, found an article that I'd share with you. This articles from January 23rd tech crunch and it's Microsoft invest billions more dollars in open AI extends part partnership. And at the end of, , sharing some of the article, I'm going to tell you what I think it means Microsoft today said it's extending its partnership with open AI startup behind text generating AI systems like chat, GPT, and Dali.
And GPT three. Three with a multi-year multi-billion dollar investment open. AI says that the infusion of new capital. The exact amount of which wasn't disclosed will be used to continue its independent research and develop AI that safe, useful, and powerful. The optics aren't the best for Microsoft, which just last week announced plans to lay off 10,000 employees as part of the broader cost cutting measures.
But they, , let's see, they'd been telegraphed by the company earlier this month and interview with the wall street journal, Microsoft CEO, such an a Dallas said that Microsoft planned to make open AIS. Foundational systems available as commercial platforms so that any entity in any industry can build on them. In fact, he was quoted.
At, , Davos as essentially saying that they, , intend to incorporate it into all of their technologies. So, , So anyway, it's going to be pretty extensive. It's not just a search thing. W. We're going to, not in the minute. It's pretty extensive. It goes on opening. I will remain capped. Profit company.
As part of a new investment deal with Microsoft under the model backers returns. Are limited to a hundred times their investment or possibly less than the future. And a blog post Microsoft said that it will increase its investments in the deployment of specialized supercomputing systems to accelerate open eyes research.
And integrate open AI systems with its products while introducing new categories of digital experiences. The tech giants Azure cloud platform will continue to be open AIS. Exclusive cloud provider powering the startups workloads across research. Products and API services. Yeah. And so this is one of the things that, , it's going to require extensive computing power. It's been estimated that a chat GPT search, which is, which runs on the OpenAI.
, AI platform, , it takes about seven times the computing power as a Google search. All right, so you're talking. Big capacity, specialized chips, so forth and so on. To, , run this. And Microsoft is well positioned to do that with their data centers. , it goes on, Microsoft was previously rumored to be.
, preparing a chat, GBT integration with bang. Search results as well as bringing opening eyes, language, AI technology. And to apps like word PowerPoint and outlook. Several years ago, Microsoft owned good hub jointly developed and lodged copilot a co-generation AI system. And Microsoft has incorporated open AI.ars of close collaboration in:
And exchange opening. I agreed to license. So its intellectual property to Microsoft. Which the company would subsequently commercialize. And sell to partners and train and run AI models on Azure as OpenAI worked. To develop next gen computing hardware. And you're later Microsoft revealed it. It, , built on Azure hosted open AI co-designed supercomputer.achines in the world. Then in:
Open eyes, AI focused venture and tech incubator program. That that a couple of quotes, , sources previously reported that Microsoft was looking to net 49% stake in open AI. I haven't seen the company around 29 billion. , don't really need to know the numbers for, we're going to talk about. , let's see.million in:
To blame are the high costs of training, developing and running large AI systems. According to Altman Schatz UPTs operating expenses alone are eye watering amount. , amounting to a few cents per chat in compute costs. As of early December, chat's GPT had over a million users. Meanwhile, GPT three is estimated to have cost millions of dollars to launch open AI and Microsoft by extension face steep legal challenges.
That threatened to impede the growth of the AI of their new AI explorations. The us patent trademark office recently moved to revoke copyright protection for an AI generated comic saying copyrightable works require a human authorship and Microsoft get hub and OpenAI are currently being sued in a class action lawsuit.
That accuses them of violating copyright laws by allowing copilot the aforementioned code generating system two. , regurgitate sections of license code without providing credit. So there's some legal actions. There's some other stuff that article goes on. , but the question at hand for today, Is.
, Microsoft's investment in open AI and open AI in general chat, GPT, Dali. What does this have to do with healthcare? And is there an opportunity here? Well, first of all, , I think this investment really solidifies the approach. Microsoft believes strongly in this approach, they're going to incorporate it.
, in a lot of different products, not a we'll start with their web search, but it will then move to just about every product that they have. So. , You know, so Microsoft's approach to this is going to be expansive. They are going to be looking at. Incorporating it to word Excel. , into, , coding, as you heard, , into search and to bang.
And, , so. I think our conversations with Microsoft will become more dynamic. I think there's a great conversations to be had. , with them about what it looks like. To, , utilize our datasets to educate it and to, , build models that make the clinician's life easier potentially. Interact with the consumer.
Right. Think about this. It's, it's responding in a, in a way that is a conversational. Right. If our health system. I could create bots that were conversational and providing really high quality data back to our patients around health. We could increase the number of interactions we're having with patients.
Around their health, around the food they're taking into their bodies around, , the decisions they're making. , with regard to exercise and other things, , not that it should provide health information and that's one of the things they actually steer away from on a lot of these AI models. , but there's a whole lot of information that we do a Google search on today.
And get let's just say less than great. Information back. I mean, highly qualified information because Google searches. Have been, , , fine tuned over the years, but, , maybe not as specific and we have a lot of sites to choose from, and maybe we choose the wrong site. And we get less than stellar information. If we could educate.
The open AI models with, I don't know. With the. , let's say journals from the, , American medical association, let's say, , you know, the, the kinds of things that doctors are reading. If we could have open AI, look at that. And understand that. Well, understand that's a little, a little strong, but be able to provide basics.
Let's not say, you know, Flat out, , health care. , information back to patients, but health information back to patients. , things like, you know, what should the average weight be of a 50 year old male? Who is this hype? , You know, what, what can you know, w anyway, You get the picture it's conversational. It comes back. So it's a little different in how it interacts. And I think a little more dynamic in how it interacts.
, You know, in terms of search, one of the things that Google has made strides. Over the years and, and Google faces a lot of things. This morning, there was an announcement that the, , , department of justice is coming after Google to essentially, , split out their advertising business, that they have too much of a control over the advertising business.
And that's not what this is about, but essentially. Yeah, they have done a good job in when you search for certain things, they will actually present your doctors. They will present appointments and those kinds of things. Now we have to pay for such things to be presented at Google and that's. I think why the DOJ is going after them, but at the end of the day, , these, these placements are really effective.
I think we should start talking to Microsoft about how they're thinking about incorporating a chat GPT and open AI into their Bing search, because it will represent a different way of doing search. Now, there are some, I was reading some things this morning. There are some things that, , will limit Chatsy BT in terms of search, not the least of which is, , there, isn't a clear path to monetization. When you think about Google.
, the people who are paying Google for, , , placement is the websites, right? So when you do a search there's paid websites and then there's the ones that rank highly, the ones who were paid or for every search that happens on that term. Google's getting some money. Chatsy BT does an answer with, Hey, here's five sites or 10 sites or 20 sites.
Who are all potential clients and answers with? Here's the answer to your question? And that is, it's a little hard to figure out where that gets monetized. And so there's, there's a little work to do. , there. , You know, in, in terms of, , AI, I think this really solidifies Microsoft as a strong AI partner for healthcare. Google is already a strong AI partner for healthcare. , make no mistake, Google spend spending a lot of money.
On AI, they have a lot of tools around AI. , but this moves Microsoft into that category. And we already have agreements with Microsoft. We already have a lot of our data out there in Azure, potentially. We're talking about, , putting epic in Azure. , and so it represents a significant opportunity for you to work with Microsoft, to utilize the open AI technologies as they start rolling them out. And it's probably worth a conversation. I mean, the large AMCs, if you're utilizing Microsoft today, you should be having those conversations. If they are not already approaching you about those conversations, , the, the smaller players, I would just keep an eye on this.
I mean, if you are, you know, don't have a ton of money. To invest in whatnot. I would still keep an eye on this. This represents a new way of approaching data, a new way of approaching a engagement. As we talked about earlier, engagement with patients. Engagement with clinicians. , it is a conversational.
Approach. That is unique. It's dynamic. It's unique. And, , you know, I talked about this earlier this week in our chat GPT. , conversation on the today's show, but you know, there was a physician who told me they essentially had that another physician in their health system. Had it write a referral with citations submitted it and it got approved. All right. So that's the power of this thing. It's it's, you know, you've just taken a process that may take somebody.
, anywhere from 20 minutes to an hour. And you've just essentially ratcheted it all the way down to like three minutes, five minutes. And so we're returning real time back to the clinicians when it is needed. Most. All right. So that's my rundown on this. I think it's a great time to have a conversation with Microsoft.
Their investment really solidifies open AI. Their investment in OpenAI, AI, I think really catapults them forward. Into the category with Google and they're the conversations we used to have about Google and their AI platforms and capabilities. And, , I think, you know, if we educated with our datasets,
It can be really powerful platform. I would also look at it if I were true vet, I'd be looking at it. If I were epic. And their cosmos database, I'd be looking at it. , and you know, unless they're going to build all this stuff themselves, epic probably will. , Truvada may not. , but anyway, there's an opportunity to here to partner with Microsoft, especially since, , former Microsoft people are involved in Truvada.
Just a thought.
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