Unlocking new possibilities for AI Healthcare Startups

and thank you all for joining us today I'm Mia and I'll be moderating today's webinar we're excited to share how hbn sdn are unlocking new possibilities for AI Health startups with the new digital health foundry program and we'll move on to the agenda slide here today we are joined by Derek coward HP digital Health Solutions lead saor Mia the CEO and founder of stn and Susan SCE CEO and founder of the P Technologies let's take a look at the agenda we'll first discuss Ai and Healthcare and life science Trends and the challenges for early stage Health tech companies discuss the new program and how sdn brings value and then Susan will share her experiences and how the pause is leveraging AI followed by Q&A at the very end all right next slide so Ai and Healthcare is a very hot topic right Derek can you get us started on what's Happening yeah absolutely thanks Mo appreciate it you know there are some really great reports out there right now if you look uh B Ventures McKenzie all highlighting that Ai and Healthcare really is an overnight success that's been 80 years in the making and a lot some of the major drivers uh in AI for healthcare in terms of an opportunity is that healthc care produces 30% of the world's data and now it's all digitized and so Healthcare AI research is now translating into products and services so as you can see here from the data right the market is growing very rapidly and there's a huge boost uh in investment levels um in one recent survey I also heard that 70% of payers and providers are reporting pursuing implementations of generative AI Technologies um it's kind of hard to read but you can see uh the McKenzie report here um the top Circle there is healthc care which is seeing a super high degree of of generative AI spending so uh Susan welcome you and sort a comment too in terms of kind of some of the things your guys are seeing uh but we obiously see that this is is really an exploding area in the market well thanks Derek and and from these when we start to look and drill down into the data that we're seeing in terms of adoption and specifically with generative Ai and know that this is 70 years in the making the first early models came you know about 70 years ago in the 50s at Stanford so for anyone watching and thinking this AI phenomenon is something knew it it was a long time building the foundation that we see now we are seeing many many Hospital organizations using the generative AI models we're seeing agentic AI on the rise to solve for very specific problems and I think we are at a an inflection point because if we even if we look at the data that came out today from open AI where since Q4 they've doubled their paid subscribers people are getting much more comfortable with AI they're looking for precision Solutions and I think for this team with HP and stn and ourselves we're just poised for a fantastic trajectory to serve millions and millions of people together and um all I contribute a little bit more from the perspective of um uh resources in the healthcare side of the house uh my wife is a ICU nurse and uh has spent 19 years uh being an ICU nurse and uh the way I met her was she was a travel nurse because Stanford could not fill the positions uh from resources that are in California so nursing and that has actually just continued to become even more sparse specifically after um covid um because everybody's burned out a lot of the healthcare providers are burnt out and where AI is going to be able to help is augment some of those re some of those tasks that you know nursing I can talk about nursing because you know I hear it from her every day um aren't going to be automated where they don't have to continuously worry about the paperwork that is involved in order to make sure that your Healthcare is taken care of and they can focus on actually making your loved ones feel better awesome great stuff but AI in healthcare and life SCI startups and early stage companies they're facing a lot of challenges right Susan you recently shared that early stage companies need to face the facts yeah absolutely Mo and especially I just you know just right before this and I want to acknowledge everyone who's here and watching I was catching up with a friend of mine who's got a AI startup uh focused actually on the pet space and we were talking about as female Founders especially so to go through this I want to provide some statistics so a couple years ago the that was less than 2 and a half% of female Ed pitches to VCS got funded that number has actually gone down so we're now uh south of 2.3% then um if you take into account Founders who are maybe brown or black I mean that number is even less so it the as as and we have friends as well who are trying to make head roads in terms of funding in life sciences and they are used to getting grant money and so and there's a lot of uncertainty so with regard to funding Mo the founders need to be very Scrappy and resilient for our startup we had 13 amazing women write checks I turned people away uh that was a one of the strategies all of our advisers have written checks into the company and I can tell you that um I looked at funding even coming out in my previous startup where we I executed um with our team several funding rounds I looked at it very differently money's expensive right now I mean we saw the FED is very um you know still being very hawkish money is not going to be cheap in the immediate couple of months I don't foresee that and so you've got to be Scrappy and then taking a look at the architecture which I'm going to have subur weigh in on and then customer acquisition so what is your line of sight especially if you um intend to go into Enterprise how are you going to get those relationships and then what are your tactics are you going to be able to Pivot competitors are always going to be on your heels and then when you're looking at scale the that you whatever it is your idea is and that concept can you scale it all the way to an exit so that your investors are going to get that Roi in full disclosure I have seven startups in my Investment Portfolio and that's one of the things I always ask them what's your exit strategy how are you going to scale is your technology going to be able to handle the increased demands of infrastructure as you have more customers so yeah startups are are need to face the fax moo and um I'd love to hear saur talk about especially around all of these pieces but as you know a great partner to us I mean really helping with the architecture and uh customer Acquisitions tactics and scale absolutely actually uh Susan I actually have a question for you since uh you're in the midst of this how uh I don't want to use the word difficult how expensive has it been to be be able to find the right resources to help you with the technical stack of being able to build a base infrastructure specifically in the public Cloud space Oh saor I love this question so the one of the things I I'm I was asked this question I was being interviewed on this big podcast and someone said you know you in in my previous startup which we were partners with HP as well in the computer vision space in retail I I had the privilege of getting to learn so much and it's like subur is this checklist of things you just need to do when you're starting an AI startup and and I just said you know going into this startup I know there's a checklist it doesn't mean all the items on that checklist are fun but I know I have to do them they can go faster but from the architecture standpoint and the infrastructure standpoint one of the things I did differently as you know this time was when it was announced publicly that I was going to start the pause HP was the first company to reach out to me and before we even fully had this concept of what our prototype would be we started with our infrastructure because the last thing I wanted to worry about was the cost of standing up this product so we were able to not spend money on Tech infrastructure and all we had to do is spend the engineering dollars which was fantastic and that's one of the big pieces of advice that I give to startups is you know a lot of times you have some very well-meaning folks and they have an idea especially in healthcare and and they want to do something and it's very Noble and and beautiful however they don't understand what those costs are going to be especially as they're aggregating huge amounts of data or their training models so starting with the architecture and the that ability to not have to even think about it it's not one of the things that keeps me up at night so I'm not going to tie a dollar but I will tell you that based on the average of what it cost to stand up a digital Health startup in the AI space we spent about a third of what anyone else would spend yeah I'll tell you dollars over drinks that's what I'll there you go fair enough fair enough and actually I thought about this and I had come up with a couple of questions you know relative to each of these areas too um so you know relative to funding a question that that uh early stage folks can ask themselves is H how can you effectively demonstrate Roi to investors in a way that differentiates your AI Healthcare solution from competitors right and as you look at the architecture how do you design a scalable and compliant it infrastructure that balances the the needs for AI processing with stringent Healthcare data privacy regulations like gdpr um on the customer acquisition side what strategies can you use to build trust and credibility with Healthcare Providers and institutions that are typically risk averse uh when adop adting new AI Technologies right and then from a tactical standpoint like what are the key Partnerships that you can use to accelerate adoption and and validation of your solution and how do you secure those and then finally on the scaling of the business you know how do you expand into new healthcare markets or Specialties uh while maintaining Regulatory Compliance data security and then a high degree of AI model accuracy at scale so these are the things that I was thinking of relative when I saw the facing the facts uh in my head so yeah and and I I think each one of those could be Derek a webinar in and of itself from the the the funding piece I do want to say there there's an amazing movie one of my friends uh was one of the producers on it called show her the money and from the vantage point of women L startups the the big Trend we're seeing is women supporting women but women will write checks as Angel Investors but smaller check sizes so again when I say you have to get Scrappy you have to think differently there's it's really about looking at it and saying you know if you're going to live breathe Die By The Sword and this is going to be the thing you're going to do 16 18 sometimes 20 hours a day that you have to know how to sell and funding is going to come down to your value proposition is not just you have a great product who on your team can actually sell in and my former company myself and and for co-founders we built a very impressive sales Pipeline and that was part of the last time we raised was showing potential investors what that sales pipeline was and it wasn't just you know oh we think we might know someone who knows someone at XYZ company we had we we had weighted those averages we had the names the contacts the dates we met were we under NDA and so you want to start to aggregate all of those things as you go into different funding rounds uh they're going to look at your team and say who can sell that's the bottom line I won't invest in a company that has a bunch of um Engineers but no one can sell a thing I come out of sales um I helped one company in the cpg wellness space uh do $2 billion do in sales um in my last company I did significant sales so can do you have someone who can sell because if you don't you're not investable and then you know scale everything else Derek just becomes a moot point candidly right exactly well you know and frankly you know all of these challenges are why HP decided to create the digital health foundry program in partnership with sdn right to accelerate the startups Journey from idea to impact you know by connecting startups with Innovative technology the resources the guidance the Partnerships to write to bring their ideas to Market sooner so we're super excited about this um and and really we wanted to address these challenges and and really our mission is around providing the technology enablement the community engagement and the partnership for success for healthc care and life science technology startups uh to expand their positive impact right and Tackle today's most difficult Healthcare challenges so I wanted to take a few minutes just to dive deeper into the program benefits um you know we've got them here in terms of Technology enablement Community engagement and partnership for Success we'll take a few minutes to dive into this and HP has great technology and also great partners and we wanted to partner with stn because of their unique capabilities and so they're kind of foundational to the technology dment uh piece so I wanted to turn it over to S Bor to share a little bit more about SN and how we're partnering yeah and um what's what's been interesting before I I begin on what we've actually built is uh just just springboarding off of what Susan was talking about is the ability to be able to secure funding and how to actually go ahead and distribute that funding that is the key here can you actually go ahead and and and and the the precede funding that you might have raised of a couple of million dollars do you want to spend most of that to developing your product or do you want to be able to be focused on the infrastructure and giving a whole bunch of money to uh whoever your cloud provider is right uh and that is kind of the decision decision that as a business owner you have to make this is something that we at stn had to make a decision six seven months ago uh six seven years ago when we started when we didn't have any uh uh funding we were bootstrapping and trying to figure out how can we deliver our product to our clients without having to spend a whole bunch of capital expense UPF front to build the infrastructure or should we just take out our credit card and swipe and get some services on AWS right so those those are the decisions that we had to had to make and uh I'll cover some of those examples uh but uh when uh HP and Derek uh specifically came up to us and said hey you know we can actually do some good together to be able to provide an incubation space for H4 customers like Susan to get them started without having to spend a whole bunch of monies towards hiring a bunch of resources that understand how data centers work how uh data Lakes work um and just be able to provide them a private cloud services and that is essentially what we did um is to work with HP come up with a HIPPA compliant cloud service offering which we'll cover a little bit more in detail uh from a technical perspective and be able to get folks like Susan and other customers up and running immediately right so they can focus on what's more important which is the revenue generation portion and I'm sure Susan has gone through enough VC conversations to understand what they ask for and what you need to be able to deliver and how does a uh an owner bridge the gap and that's essentially what digital Health foundary provides for all everybody that's on the on a call today awesome you want to go to the next slide yeah sorry about that there you go Y and I'm going to have you bounce back in a second here as well okay uh so um scn's developed a private cloud service offering specifically focused on on on providing the building blocks in order for developers to be able to go ahead and start developing immediately their product line so if uh if you're all familiar with cicd cicd is continuous continuous development of your product and be able to test it and be able to actually release as fast as possible right so that can automatically your entire cicd pipeline can tie in directly to sn's private Cloud which is Hippa compliant that is key here is because Hippa the the the aspect of getting a product out into the market is a lot of times undercut by the security requirements that are required to make sure that it is actually uh not going to have uh gaping holes and uh essentially what we've provided is the Baseline infrastructure is all ready to protect your environment right so now your code can actually also be tested against a whole bunch of different security holes that might exist uh the ability to be able to to deploy uh automatically a a large data Lake where data has to actually sit before it actually gets processed is not something that is it's it's triv trivial at this point in time it is an API you start writing towards it you code your application to write against it and that is essentially what you're looking at here is that we have physical data center space across the US in order for us to be able to provide you the compute that is required uh a container environment if that's that's the direction you want to go towards uh the automatic firewalling the routing all of that is all handled by stn and our manage services so now you're whenever you're ready all you're doing is testing your code tying it into P into your pipeline and you're up and running now now can we go to the next slide that's the base infrastructure yeah here you go now this is a fun slide one of the key things here is integration of AI into your stack um and I'll walk through a few traditional models that we've been seeing Derek for the last 12 months now 13 months the entire industry has kind of moved towards it at this point in time and which is let's build a cluster let's get a model let's fine-tune it let's do B inject a whole bunch of our data into it and let's see what it comes out with and see if we can create a a uh AI ready application well in order to be able to do all of that stuff you have to do quite a few things the first thing that you have to do is find allocation on the gpus that you need right so not every GPU is made the same there are differences between what an l40 does versus an h200 does and you if you have to know what you're getting second the demand for getting the right gpus for the workloads that you need and specifically for a for a early stage uh startup is hard to get because almost everybody all the large players are gobbling up whatever whatever assets they are able to get their hands on so being able to to to have the differentiating factor which is what HP has really provided here is accessibility to gpus newer Technologies without spending a whole bunch of money and keep in mind these clusters are not cheap these clusters cost a lot of money and when you can't get it from the public Cloud you have to build it and when you build it it costs a lot of money hence what we've built is the ability to tie in accessibility for short-term long-term ter inference workloads or just training workloads because you train and you start developing further upon it without having to spend a lot of money without having to be given you a T4 and get an h100 right so that's what you want you want the h100 you don't want T4 because time to Market is important right Susan time to Market is one of the key things as a startup absolutely I'm just laughing saor because one of my uh party tricks was memorizing the Nvidia GPU so every yes you know that you got the C this is coming from my computer vision days but you get the customer who wants essentially A40 or l40 capability on a T4 card and you're like H these models are huge and I love what you said because the the reality is not everyone and this is I don't mean to be like the debie downer of this not everyone is cut out to do an AI startup there's some point you're going to be over your skis if you don't understand certain things and like you said so when you you look at say the the big players or you look at companies that are buying you know a 100,000 h100s and have an order in for another 100,000 h100s and and you as a startup at some point you could you know use a public cloud and you could try and train your models there and then one day I this is a true story story Sor so I was having lunch with a friend of mine who's um he's he teaches at MIT and I was taking some stuff at MIT and we were talking last fall and in one of the startups he was mentoring someone left an instance on in a public cloud and this is a pre-revenue startup they got a $67,000 bill yep yep and that happens that happens and so you know you you have these well-meaning Founders who've got great healthc care products they're like okay yeah and they're they're trusting maybe someone to do their devops who has no experience and then suddenly that you know that devops person isn't looking at the bank account and then suddenly you're getting these bills for tens of thousands of dollars a month I the biggest bill I ever saw and I I won't disclose but was a where but a sixf fig bill for one month for a startup and it as I want to like just throw up it was unbelievable I mean we were able to actually on we were able to actually stop arburn um pretty much on month three um coming from a place where I know what servers cost when we started up we're like we're going to develop our first managed Services it's going to be back up as a service that's what we're going to do all right so we needed you know a simple database and we needed a simple front-end application node and uh we're working on developing it and the first month's bill was like $200 $300 in AWS I was like all right that's that's not bad cool small instance good to go and then we unleashed the developer onto the environment and next month it was $2500 and I'm like I have deployed the smallest database and the smallest application and above all what really really really really really pissed me off was I couldn't understand the bill and again this is seven years ago maybe billing has gotten better but still I just couldn't understand the bill right it's like one of those basic things I want to buy something please tell me what I'm buying and I hear some money right I it's like that transaction I make sense um but I don't know how many of you kind of know what your transaction rates need to look like because I sure don't and I'm in this field I've written database code so database deployments right so the key here is is is for for for startups and and specifically people that are cash strapped um and you have to make those decisions well the third month instead of getting another $2,500 Bill we bought a server for $3,000 that did all of that and I was like okay here's a here's a burn that stopped right so essentially what what uh the essence of everything that stn has built whether it's GPU as a service or uh private Cloud as a service um Hippa compliancy or compliancy side of the house or infosec it is designed to be as a consumption model as a service so that way everybody has access equally across the board before by the way this is from open aai before open AI kind of went closed so everybody has access to be able to develop what they want to develop on infrastructure that is next Generation that is something that is exclusively available today to to to used open to open AI right so that is the essence of what we've built and HP has been fundamental in trying to bring this to market for for everybody now the last space I want to finish off with is back on slide number two slides before and uh I'll just touch base a little bit about it um in order to be able to enable um startups to get everything going HP has come up with a credit system that maybe Derek can cover a little bit more but essentially we are trying to enable everybody to ified uh folks to be able to get off the ground without having to worry about an AWS Bill and that is essentially where this comes down to yeah yeah absolutely and that's part of the the program in terms of uh you know scn working with everybody individually to understand what those unique requirements are it's not one size fits all so that's a great thing is that we're able to kind of come in and understand what the rate is what you know how we can help um relative to that so that's that's that key piece in in terms of the technology enablement um and if I can jump back I'm going to jump forward here now in terms of you know in that conversation we're talking about also kind of the access to resources and a lot of folks may not have everything that they need relative to you know the areas of expertise and one of the things that the program provides is the opportunity to collaborate with HB leaders and Healthcare Tech experts uh for guidance and mentorship and what we do is we map the needs of the startup with the relevant resource at HP that might be from a a strategy standpoint or a leadership standpoint giving some visibility um this is just a couple of the leaders that that in fact Susan I know you've engaged with uh several of these folks uh but Monica belder who is the executive sponsor of our program is our chief sustainability officer Aisha Washington is our Global VP of Dei she's made herself available to to Susan and others in the program Melissa margraves is our Healthcare and Life Sciences sales leader um so on that strategy layer absolutely resources available to to talk about what your startup strategy is and can make those connections on the partnership side you know we've got Fred tan who's our Global head of social impact and he runs our HP Foundation um we're excited we have Kristen Orton on our team and she is not only in our office of CTO but she's also an angel investor so Christan is is wonderful um Scott is our uh Nvidia Alliance manager so uh um on the partnership side the list goes on right the idea is to the right there's more people um and so on the technology side really this is where you know you need some guidance some access to knowledgeable folks Chris plat is our Healthcare and Life Sciences Chief technologist um buvana is our AI Chief technologist and add's a solution architect in the AI space and these are folks that can come in um depending on your need and and have conversations you know with you understand kind of what your needs are and provide a degree of ongoing engagement and mentorship so um pretty exciting stuff um if I don't mind adding same thing for our team as well hasof Engineers that are available to everybody at no cost at all to come up with the designs with Chris Chris's of the world to kind of figure out how can we actually get you enabled and going absolutely it's great stuff um the other thing we do in the community engagement in the partnership for Success has really provide you know visibility opportunity so there are opportunities to per uh to participate in in Premier industry events like him coming up uh we're going to be there I know Susan's going to be there um and if you're there we'd love to meet with you so um in fact actually we have a cocktail reception on Tuesday night um so let us know if you're there um but we also provide access to other HP hosted or Healthcare events uh and speaking engagements um from a networking collaboration standpoint we're we're building out a a dedicated LinkedIn group um where we can connect with Healthcare innovators and I I've even seen within the program just the connection and Community creation amongst participants right I mean Susan's had engagements with a number of the folks that were in the program that I didn't even think you knew and were like hey you really should meet this person and then all of a sudden there's just this energy flowing so I've just been super excited to see um that partnership for success and and leveraging you know uh that ecosystem right to create new new opportunities and things and um you know and executive connections Susan you've had a lot of firsthand experience in this area and and I'd love for you to share a little bit about your experiences over the past year because we've uh We've definitely kept your dance card full um so absolutely and I uh I I'm still back on the hippoc compliant Cloud so I apologize it's like you put subur and I together and it's like add on steroids so I just I do want to just say be coming out of my U background in computer vision and as you begin to with your your AI and with your data going through various levels of compliances whether it's going to be sock 2 or whether you're looking at gdpr or whatever it is CCPA in California um depending on how you're deploying your models I mean the list goes on and on one of the things that for us at the pause is really important is the hipa compliant cloud and to give line of sight for every hundred subscribers we have we have a million data points um and that is almost per month it's unbelievable and coming out of vision Derek Sor I had massive data payloads that were just to use some lay terms for people who might not um fully understand that you have to look at storing the data and then identifying how going to use the data for building your models you have some data that's not necessarily useful but it might be useful down the road you don't know and and that's where this partnership is really critical for our team our advisors who look at this as an opportunity to scale and a a safe compliant place to store our data so I just wanted to rip off on that shifting gears the partnership piece is invaluable because no one is going to invest in your start up and Enterprises are not going to do business with you without exposure and the landscape has changed even in Derek in my um podcast Ron real entrepreneurship I've interviewed hundreds and hundreds of Founders I've interviewed billionaires I've interviewed 12-year-old Founders and I've interviewed Founders who failed there is a new type of founder that is emerging and this founder is what I refer to almost as the celebrity founder they have to have their LinkedIn presence they have to be doing interesting things they have to be getting exposure on stages and that that isn't easy because often the people on those stages are the people who've already achieved $ hundred million in in ARR they're not the early stage startups and one of the things I've always said about HP because I've had the privilege of working with HP in multiple Ventures is that HP is the company that deeply cares last year before we even stood up our product HP said to me hey would you uh we want to put you on stage um and which is great and done a lot of stage stuff but we'd like you to host a round table on menopause and I went what that is awesome and we had these um heads of HR and different women from massive companies multi-billion dollar global companies who signed up to come and were coming it it was a mistake they read it and they said really and HP to my knowledge was the first company that actually did this and the fact that they're you know the HP is so willing to bring the ecosystem together to have these conversations because especially for Women's Health and for Men's Health too I was raised by my late dad Joe a single dad and engineer there are a lot of very sensitive issues in women's health and Men's Health and the fact that HP is willing to say hey you know what yeah we're going to have a round table on this we're going to discuss it we're going to invite you you know every single big brand name customer you can imagine it's just been massive and I always say you know when HP asks me to do something I I absolutely do it because I love the company that's why I'm wearing green today I've always said to Derek and the entire team if you need me ever at the edge Booth um for any of the big shows I'll be down there selling servers uh no problem because I you can wake me up in the middle of the night to do that but I love this company I feel very blessed I feel very valued and I feel very part of the company and I don't think oh it's the pause an HP I think of the pause as an HP company awesome Susan that's great can you tell us a little bit more about how the pause and how you're leveraging AI in your day-to-day yes Mo absolutely so I'm gonna I'm going to do a quick dive of some statistics for people so really understand the problem statement 51% of the world's population are women by the year 2030 1.1 billion women will be in menopause in the United States it's 50 million in Canada it's 10 million here's the problem care is not accessible you see celebrities launching companies God bless them um with membership subscriptions you see um companies that you know people can access providers the reality is what about accessible care right and even in Phoenix where I live there is one part of the city where 200,000 people don't even have access to a clinic it's the fifth largest city in the United States so we started with the premise um that and we're in this phase one of how could we build something that consumers could use download it from the app store download it from the Play Store have your own personalized AI agent and we're building gent Ki um that is going to create Precision recommendations for you for lifestyle for well-being um recipes for what if I can't sleep at 2 in the morning did you know that according to McKenzie Mo 41% of American women want to quit their jobs due to lack of support for menopause employers lose three days per woman per year for menopause it is costing us women from their pockets 1.8 billion globally it's 50 billion it hasn't even been measured when you this is coming from the Mayo Clinic when you start to add in the adjacent health care cost for these women it's $36 billion so unlike other models where they're saying yeah we have ai but there's a human in the lube our AI is direct to Consumer AI accessible AI at a just ridiculously great price and then we're scaling into benefits and that's the other thing with stn with um with HP when I went to Sabor and I went to Derek and I said yes we want to go into benefits because less than 4% of us corporations of the Fortune 500 offer a menopause benefit so we're going after that 96% and I will tell you you can only match energy with people who can match energy with you and I could text the bore at 5: in the morning be like yes Queen let's go get that let's take that market on um and Derek is like yes let's figure out how to bring this you know to to customers that that's the key but that's what we're building so the agenta Ki and in our phase three um we will have several AI agents and I won't disclose too much of that without an NDA but um that's what we're doing with AI Mo so we also integrate with wearables that's where a tremendous amount of data comes from and then mobile there's a tremendous amount of data we have more data than we can possibly digest and I'll just finish around the data since I'm on my data pedal at the moment did you know that women in menopause have actually not been studied and 70% of Women's Health Care data that um for the recommendations for women comes from middle-age white men and this is not a Dei statement so don't get me wrong I just need everyone to hear this women do not volunteer for clinical studies men do so when they're trying to build models and they're saying well you know we need to create a model for cardiovascular health card cardiovascular disease kills more women than the top five cancers combined that you know they don't have the data so we started with a premise and when I first spoke to Chris plat and to Melissa and Derek and Aisha and the whole team at HP I said we are going to build the data we anonymize our data can you guys help us with storing the data with helping us with our data so we can build these predictive models we can build our agentic Ai and they were like yes yes yes yes in fact you know I'll just I'll just say that I haven't asked them for anything and they've said no yet so I hope that day is not coming a good thing to have right thanks Susan that's very exciting

2025-03-02 22:46

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