From Developing Software to Saving Lives: An Entrepreneur's Journey

In this engaging conversation, RJ Kedziora shares his fascinating journey from a background in computer science to becoming a pioneering entrepreneur in the life sciences and healthcare industry. He discusses the evolution of AI from the early days to its current explosion with tools like ChatGPT and its potential to revolutionize healthcare. RJ also talks about his company, Estenda Solutions, which focuses on providing cutting-edge digital health solutions. The discussion covers the significant impact of AI in diagnosing diseases, improving patient care, and the ethical considerations surrounding its use. He emphasizes the importance of integrating AI into healthcare workflows and highlights ongoing projects aimed at enhancing the quality of life, especially for the aging population. 

Tune in for an insightful look into the future of AI in healthcare and the ethical and practical challenges it brings along.

00:00 Introduction and Background
00:42 Transition to Healthcare
02:04 Founding Esten Solutions
03:50 AI in Healthcare
08:51 Future of AI and Healthcare
17:32 Challenges and Ethical Considerations
27:41 Conclusion and Final Thoughts

Transcript

[00:00:00] Patrick: Glad to finally meet you I'm always really excited to talk to fellow entrepreneurs and obviously you've been doing what you're doing for a while now.

[00:00:11] Patrick: I'm always fascinated how people end up in the life science and healthcare industry, and I wanna show folks that you don't really need to have gone through that path since university to be part of this. And looking at your resume, I noticed that a degree in D is du Cheney.

[00:00:27] Patrick: Is that, did I get that right? No. Ducane to totally butchered it. Totally butchered it.

[00:00:32] RJ Kedziora: of people do say, do question you like you did, but yeah. It is Ducane,

[00:00:36] Patrick: Oh yeah. Where is that? Is that in the UK or

[00:00:39] RJ Kedziora: Pittsburgh,

[00:00:39] Patrick: Pittsburgh?

[00:00:40] RJ Kedziora: Yeah.

[00:00:40] Patrick: Okay. Okay. In, in computer science then you did a lot, many years in software development. What was that thing that happened in your pathway for you to pivot to healthcare?

[00:00:50] RJ Kedziora: It was a number of opportunities. I did start out and had that comp side degree and Fascinatingly was thinking about getting a PhD in AI in the early nineties. People forget that it was a AI back way back then. I. And got a job offer. So it was like more debt in, grad school or go out in the world.

[00:01:10] RJ Kedziora: So I went out into the world through the nineties. I worked on a lot of different solutions spaces, mortgages, inventory management, accounting. I. they just, they weren't engaging enough, they weren't challenging enough fasting. They very much solves problems. And that's why I got into, digital health.

[00:01:29] RJ Kedziora: And because there's so many new problems even today, 20 plus years later, there are new problems, new challenges, new opportunities. To help people. It's great that you have, more products on your shelves or, you've paid your mortgage successfully, important things in life. In, in digital health, life sciences, like we're helping people live better, 

[00:01:52] Patrick: a lot of people forget that AI was talked about long time ago. It hasn't seen this type of explosion and interest obviously, since chat GPT launched, you know, their first version. why did you start Esten Solutions? You didn't see anything out there kind of trying to do what you wanted to do, or what's the story behind that?

[00:02:11] RJ Kedziora: So Aste is a consulting organization, professional services, software development data and AI projects. And it was a series, ASTE was a series of fortuitous events that we had a project to get started, but I wanted to go the entrepreneurial route because I had been part of many companies and saw the mistakes people made. Now. Okay. I think I can do better. I'm not saying I'm perfect. I've definitely made mistakes over the years, some of the challenges of different, processes and systems that were in place at various different organizations that I worked with. And I was like, okay, Here's my approach to how I do these things. And so to be able to run and manage my own company, I do have a co-founder, drew Lewis. It was just a fascinating opportunity that point in time, in the early two thousands, two, the software industry was on a little bit of a downturn, so Hey, go off and

[00:03:08] Patrick: Well, that's a bubble, right?

[00:03:10] RJ Kedziora: that was

[00:03:10] Patrick: Was that a

[00:03:11] RJ Kedziora: yeah, part of

[00:03:12] Patrick: okay.

[00:03:12] RJ Kedziora: and, post nine 11 bubble and everything like that. Things started going on the downturn and a company that I was working at went from like the local division, went from like 400 to a hundred people in a matter of months. It was just, to be able to go off and be responsible myself for an organization was what really drove that.

[00:03:33] Patrick: Mm-hmm. And so what better idea post bubble to launch a a digital, a digital consulting firm, which is great. A lot of companies start off in hard times. I think Microsoft started off like during a recession, 

[00:03:47] Patrick: now for the new onslaught of ai, right? AI now is probably much different than it was back then. And, and and my question to you is obviously you probably still have the same goals as you had back then to better humanity, improve health, but your business strategy has gotta drastically or profoundly have changed 

[00:04:07] RJ Kedziora: yeah, it definitely changed. One AI capabilities and what's possible today is I don't think back in the early nineties kind of thing, anything at all, like this was imagined except maybe in, science fiction, books kind of thing. And even back then, they didn't get it quite right as to what we're doing and how it's being used.

[00:04:27] RJ Kedziora: I think a big aspect of it is the create creative aspect of it. I think that's. Biggest unexpected thing of what the AI can do. It's, know, way back when it was, AI is going to those routine tasks for us. It was more robotic sort of oriented kind of thing. It'll do the dishes for us, whereas, today it's not doing the dishes just yet, it's right in poems and, all sorts of different things and creating images to, to impact marketing. Education. From our corporate perspective it is interesting 'cause we do software development and, data AI projects from an AI point of view. What's interesting is a lot of those projects are really data projects. okay, we want to train a system to do X, Y, and Z. You need data to do that and it really just keeps going back to the core of that.

[00:05:16] RJ Kedziora: So some things have remained, very similar to what we've been doing for a long time now. Then when you do get into these Gen AI and even use them internally for software development, it's in, it's very experimental, in terms of using them for software development. So the capabilities are improving very quickly. But it's still in the hobbyist realm of things that you're creating really from a pure software development system. have, know, used some of these systems to create like a time management notification and it works, it's then, when I need to go and change something, it's okay, it just broke. I'm like,

[00:05:58] Patrick: Right, right, right.

[00:06:00] RJ Kedziora: on it for a, continual long term type of system that then I'm gonna upgrade over time. 

[00:06:07] Patrick: Yeah. Not yet. Not yet.

[00:06:10] RJ Kedziora: Not yet.

[00:06:12] Patrick: Especially in terms of like life science or healthcare, a lot of the data's out there, but AI can help process all that data, gather all that data, and come up with some sort of pattern or conclusion which is, far beyond what a couple humans could do.

[00:06:26] Patrick: Right. Or a computer at this point.

[00:06:28] RJ Kedziora: It's making us more efficient. It's realizing stuff and finding those patterns that you and I can't do.

[00:06:34] Patrick: Mm-hmm.

[00:06:35] RJ Kedziora: lot of work in retinal imaging and there has been some experimental systems. I. Look at retinal images, which is the back of your eye. And the computer systems can determine gender. Male, female and yes, the world's not. That's that dichotomous, it can look at male female, but you and I can't do that. And the people that are creating these systems and experiment with it, they're like, they're not sure what the AI is seeing. Yeah, it can identify reliably, okay, these eyes were male, these eyes were female. So it is

[00:07:08] Patrick: Wow.

[00:07:08] RJ Kedziora: of things. I saw something today even that they're working on projects to be able to communicate with dolphins you and I

[00:07:14] Patrick: Yeah.

[00:07:15] RJ Kedziora: But, the computer having access to a vast repository of data to learn from and understand is powerful.

[00:07:22] Patrick: Now how much you think of a bottleneck is actually getting the physical servers to, manage all that data. I've heard that's like a. Big thing, hence, Trump's, you know, 500 billion, investment in ai and I think a big part of it is like making sure we have the, the right amount of servers and energy to generate this analysis.

[00:07:43] Patrick: I.

[00:07:45] RJ Kedziora: Two worlds there. One of which I think of as like the PhD ai, are the people at Open ai, Google Philanthropic, who are creating the large language models. In these cases, they're the organizations that need this massive data capabilities for average systems out there for using these.

[00:08:09] RJ Kedziora: They are focusing on much smaller. Volumes, more niche type of applications. And by using the, those large language models that are, massively energy draining, you can create amazing solutions. So I don't need to be a PhD in ai. To go off and fine tune a system anymore or generate, machine learning algorithms looking at retinal images for diabetic retinopathy or breast cancer.

[00:08:39] RJ Kedziora: You don't need to be a PhD in those fields. To be able to create, develop and create these systems. And with cloud technology kind of thing, you can have access to the computing power you need.

[00:08:49] Patrick: Interesting. I'll throw a scenario at you and, you let me know in terms of like timeframe, how far we are off at, at this. But let's just say you're wearing either a shirt or a, a wearable, right? A watch. That's able to analyze, the biomarkers that you have in your blood or, all type of analysis and they're pretty much able to order you food based on how your blood is looking like that day or that week.

[00:09:14] Patrick: Is that in the future you think? A scenario like that, and how far off are we from that

[00:09:20] RJ Kedziora: Okay. You could probably do that today. Honestly, like I,

[00:09:23] Patrick: really?

[00:09:24] RJ Kedziora: yeah, absolutely. And you're marrying different systems together, so everyone's starting to talk about, AI agents and what they're capable of. But you think and you mentioned ordering food and taking biometric data, from what's going on in internally in your body. And so diabetes comes to mind. There are continuous glucose meters that some of them are reading datas and understanding what's going on internally as much as a minute, a day, five minutes at a increment. So very fine grain, fine tune information. As we gain that better understanding then of, Hey, are you exercising, through, looking at your heart rate. looking at your blood pressure. And then easily, having links and access to DoorDash. An agent can go and place an order in DoorDash, could do that today. Is it a viable business model? I, that's a different story. But yeah, you could implement that. What's fascinating about that in that specific example? 'cause we have been around for a while now. I was part of a, what was called project health design. Back in, 2008 through 2011, 12, probably that timeframe. Got a bunch of academic medical institutions together, industry together. And at that time it was when here in the US electronic medical records became mandated and they were really starting to roll out in the industry. And the idea of a personal health record was new at the time. It was like, as an individual, as a patient, I didn't really have access to my medical information, but now you could. And and biometric devices were getting better and improving kind of thing. So the point of project health design was to really envision what could you do with this technology to improve the lives of people. And that was you. Your example is one of those things. It's like you're driving down the road and you know your blood glucose is starting to go low, and if you know it goes too low, you can potentially pass out. If you're driving, that's obviously a bad thing. So we can detect that and understand that.

[00:11:35] RJ Kedziora: And you could flash a message on, the car dashboard. Then you have GPS and understand where the local restaurants are and it's okay, you should pull over ahead. There's a seven 11 a Wawa

[00:11:47] Patrick: Yeah.

[00:11:48] RJ Kedziora: of our local convenience stores. 

[00:11:50] Patrick: Okay,

[00:11:50] RJ Kedziora: and get something to eat. but then it could even direct

[00:11:53] Patrick: cool.

[00:11:54] RJ Kedziora: well, here's a McDonald's or a healthy food store.

[00:11:57] RJ Kedziora: You should probably go to the Healthy Food Store, better option kind of thing to really help drive that behavior change.

[00:12:03] Patrick: Mm-hmm.

[00:12:03] RJ Kedziora: thinking about those things back then and now, yeah, you could, you can do it.

[00:12:08] Patrick: You're in the thick of it, so can you mention any really neat things in terms of, health improvement life expectancy, extension, or whatever that you see coming down the pipeline?

[00:12:18] RJ Kedziora: There's just so much going on. How much time do you

[00:12:21] Patrick: Yeah.

[00:12:21] RJ Kedziora: the

[00:12:22] Patrick: Like

[00:12:22] RJ Kedziora: I, I think where,

[00:12:23] Patrick: that you think is fascinating?

[00:12:24] RJ Kedziora: yeah. Where it's gonna make an interesting impact, society a whole globally is getting, we're getting older, we're getting older of thing. And particularly here in the us it's like when that happens, you're gonna take that older person out of their home where they've been living comfortably. And put them in some sort of assisted living. They don't want that to happen. Loved ones. They don't wanna have to move. Their mother, their father, into that type of scenario. But unfortunately, sometimes that's the best option. in last summer, I had my in-laws passed away and unfortunately from some health complications.

[00:13:05] Patrick: Sorry to hear that.

[00:13:06] RJ Kedziora: think it's, thank you, and you think, how can we apply these to help people living in the home? And there are companies that are. They're doing this and it's getting better and better, and it's not invasive. It becomes invisible to the person living there. But considering a scenario, my mother who's getting, older, I, I live two hours away from her, so it's hard to check in day to day.

[00:13:32] RJ Kedziora: It's yes, I can call her. But if there's like an underbed sensor, okay, my mother got up this morning. She used the restroom. She opened the refrigerator, closed the refrigerator, turned on the coffee pot, opened and closed the cabinets. That's her normal pattern of behavior each morning, you're gonna use AI to analyze that data and understand that normal pattern of behavior.

[00:13:58] RJ Kedziora: Okay, tomorrow she doesn't get up. doesn't turn the coffee pot on. It's okay, ding, call, you know the next door neighbor. Can you go check in on my mother or, place a phone call, to, to check in and see what's going on. And maybe she was just a little extra tired and didn't get outta bed. It's having that level of knowledge without being invasive, without having to go to an assisted care facility a concerned son, I don't have to worry as much anymore. So

[00:14:29] Patrick: Yeah.

[00:14:30] RJ Kedziora: that technology is slowly rolling out and gonna empower us all to live better, healthier lives in a comfortable environment.

[00:14:39] Patrick: Mm-hmm.

[00:14:39] RJ Kedziora: which is fascinating.

[00:14:42] Patrick: That's really, really fascinating. I'm at that stage too with my parents are getting older and, and that is definitely on my mind, definitely less creepy than having a video surveillance camera. You can check anytime on your phone. So, yeah, I get it. I read that if we can hang on and you can probably confirm this, but if we can hang on for the next 10 years, AI will figure it out.

[00:15:04] Patrick: And, in terms of medicine and health wise, we'll end up living well beyond a hundred years old. Just give AI time to find the cures, to discover new drugs faster, and then we'll get there. What do you think?

[00:15:18] RJ Kedziora: it's making a difference today. So I think of rare diseases. I. There are tons of people that have these rare diseases and a rare disease are just simply classified as, not a lot of people have this, and what happens then is the pharmaceutical companies like science companies they don't have the financial incentive spend the millions, if not billions of dollars to generate a drug. 'cause the market's not there. But what about, off-label uses. and so there are systems out there in place that they have trained specifically to target for this. This is not like your chat vt, but they have trained specific AI systems to be able to look at the breadth and depth of research out there and apply it to rare diseases to be able to find these off-label uses.

[00:16:07] RJ Kedziora: It might be like one research report that somebody did in an obscure university. You or I are never coming across this in our day-to-day life, but the AI can be aware of this. So it's that, that I'm looking forward to this. It's that marriage of these different technologies, just like aging at home, is matching up this remote monitoring capabilities and understanding patterns of behavior. Same thing in healthcare. Is gonna happen. So one of the biggest use cases for these Gen AI systems now is ambient listening, and it's being rolled out aggressively now. So the doctor, your health, your nurse doesn't have to necessarily take the notes, they don't have to stare at a computer screen and take notes.

[00:16:48] RJ Kedziora: Let the ambient listening capabilities understand what's happening in that room. Now, marry that together with a knowledge of all of the research. That exists. That is coming out. New research is coming out every day. You and I cannot keep up with that. It's not physically possible. The computers of the technology can and it can today.

[00:17:11] RJ Kedziora: CI think of it as surfacing questions and interesting thoughts to the healthcare practitioner that can then make an informed decision of, okay, yes, this makes sense. Let me engage the patient and explore this possibility with the patient. Because you and I don't have that capacity, but the computers and technology do to help improve, life.

[00:17:32] Patrick: How much do you think the, privacy is an issue in North America around that stuff? Because I know in North America, we're more sensitive to that stuff than other parts of the world, like in, Asia, I think they've just upset to the fact that I. The government knows everything about them and they're cool with it.

[00:17:48] Patrick: But us it still seems a struggle. To get to, the point that you just mentioned, essentially you need to kind of give up your privacy and, trust a server to keep it safe.

[00:17:57] RJ Kedziora: Yes. We have the laws in place. HIPAA is in place today. HIPAA guides and protects our data in a healthcare setting that also applies to these AI types of systems. The from a contractual perspective, when I engage with a customer and we are, working with the health system and we're dealing with medical data, we're also bound by hipaa and we signed what are called business associate agreements you know, ask that responsibility to us as well, that we are part of that healthcare picture. The large language models that the open AI and these companies, they will sign these agreements with you to protect that data. So the laws are in place. But what's interesting about that, I don't worry about, and this is my personal opinion, I don't worry too much about. In, in particular because of what it's going to enable and what the benefits that I can gain from that. In healthcare life sciences, we do have to learn from the world of marketing. So if walk into a supermarket, has been so much research and data analysis about behaviors of when you walk into a store, you're more likely to turn left than right. more likely to buy a product that is at eye height and not above, or, below closer to the floor.

[00:19:26] Patrick: Yeah.

[00:19:27] RJ Kedziora: They've figured this stuff out. And there are challenges in that level of influence over your shopping behaviors, but. It also makes my life better. It's yes I get a lot of ads in the social media platforms and all sorts of other places, but those ads are targeted to me, like they're targeted to me because I've expressed an interest in them. Is it perfect? No. Is healthcare. A level above that, we have to protect that data. Yes. AB absolutely. It's not the same level as marketing, I think the laws are in place. We're continuing adapting as an industry to, to what is possible to improve everybody.

[00:20:13] Patrick: I've heard this said before, where AI is, moving so fast at such a quick pace that the laws haven't really caught up I think the same pattern happened with social media, right? When Facebook launched and the laws didn't really catch up to protect, you know, either children or whatnot, 

[00:20:27] Patrick: Did we learn from social media 

[00:20:29] RJ Kedziora: I'd

[00:20:29] Patrick: I,

[00:20:29] RJ Kedziora: say we learned from social media, but we as a culture, as a society, we probably

[00:20:33] Patrick: yeah.

[00:20:33] RJ Kedziora: enough.

[00:20:35] Patrick: Yeah.

[00:20:35] RJ Kedziora: challenge is, I think twofold. One, it is game changing. I think of it as, the printing press, electricity, computers, internet, social media, smartphones. But, I start that list on purpose back on like the printing press because the jump from like printing press to electricity. Probably a couple hundred years there when the printing press came out and books became more ubiquitous and more people had access and started learning to read, there was fear at that time of this is gonna destroy humanity. We're never gonna have to remember anything again, because it's just gonna be in a book. Obviously that

[00:21:17] Patrick: Yeah.

[00:21:18] RJ Kedziora: prove to be, true. We seen saw the same thing with, telephones. It's oh, where society is going downhill. We don't have to talk face to face with that. Anybody, AI is is potentially even more game changing to society than any of those technologies. It's happening faster and faster, from the internet to mobile phone to social media, to now ai. Look at what's changed in just generative AI capabilities in the last two years. It's mind blowing. so yes, the legal frameworks are challenged. I like what the EU is doing.

[00:21:54] RJ Kedziora: It's very risk based. So if it's a low risk thing there's less regulation. But if it's high risk, then there's the, we need more guidance and regulations around it.

[00:22:05] Patrick: Mm-hmm.

[00:22:05] RJ Kedziora: it is hard for governments and entities to, to keep up. On the flip side of that, I'm also intrigued by the idea of a lot of AI projects nowadays, particularly in healthcare, talk about ethics and oh, we need an ethical statement.

[00:22:20] RJ Kedziora: How are we gonna use this? I'm I struggle with that because we have the ethics. I'm like, do I really need another ethics statement? It's like we have the ethics, they're in place, medicine talks about first do no harm. let's apply that. and that's a good starting point. So yeah it's, I, yes, there is need for balance between these things and if we just solely rely on the goodness of humanity, we know that doesn't always work out.

[00:22:48] Patrick: I agree. That was actually gonna be my next question is, you know, do you have a moral or ethical line in regards to healthcare and AI that you will not cross? For example, colossal recently just brought the dire wolf back. Not sure if a I was involved with that, but I'm pretty sure AI was gonna be involved with like future projects that they wanna bring the mammoth back and the saber tooth tiger back

[00:23:09] Patrick: What are your thoughts around that? Now it's animals, but who knows, in the future it'd be just bringing your sister back, or your, grandmother back, or, you know.

[00:23:16] RJ Kedziora: that'd be interesting. And, I think, are trying to do that kind of thing. Retaining memories kind of thing. So you can continually talk to your grandmother over

[00:23:24] Patrick: Mm-hmm. Mm-hmm.

[00:23:25] RJ Kedziora: there, there are boundaries there. Particularly interesting areas, mental health and suicide ideation prevention. know, there, there have been a couple high profile examples where, a chat system. say commit suicide, but didn't respond appropriately. But in some of those examples, one it's high profile. So it's a small number of those types of examples, but that's not what that system was intended for. so you do have to take that with, I think as a grain of salt. But yeah, I'm not going to create. A random chat GPT system to help people with suicidal ideation. That's just blanketly, irresponsible to, to do these days. But there are systems that in people that are creating them to help specifically in mental health, and they're testing them and they're putting through rigorous clinical trials and quality validation to be able to help those people. Because there are not enough mental health professionals to take care of the people that need the assistance. People don't scale AI technology scales, so you have to think of these responsibly and how you use them way they're appropriate. in healthcare, you're not letting an ai, make a blanket healthcare decision about your life, your care, your treatment. You, you need that person involved. That, that known healthcare professional involved, like they're training their expertise to make the informed decisions 100%. Today, there is this idea of hallucinations of the system making up something. But at some point also it's gonna be irresponsible to not use AI in care and treatment.

[00:25:17] RJ Kedziora: Again, going back to what I was saying, it's like the

[00:25:19] Patrick: Mm-hmm.

[00:25:20] RJ Kedziora: of vast amounts of more research than you are and can see those patterns and trends. So use it as a second opinion or help accelerate. a diagnosis, I know various people who have lupus, which is very hard to diagnose, and if you are a rural practitioner that just don't have access to, the technology to, it is not something you see every day.

[00:25:46] RJ Kedziora: When we talk about rare diseases earlier too you don't see it. You're not necessarily going to think of this rare disease, the AI can put together this pattern of information. And be like, Hey doctor, maybe think about this and that's a hugely powerful capability that you can use today.

[00:26:05] Patrick: Yeah, it's mind blowing. So we've been talking about how AI could, help accelerate many things to, better human health in the next couple years. RJ in your space, what would you say would be one of the main challenges in the digital health solution space?

[00:26:22] RJ Kedziora: It's not a technology problem. I think, is the main challenge. The main challenge is around education, trust, those professionals, being aware of what this technology is capable of and implementing it within the workflow. That's a lot of challenges is we talk to startups too.

[00:26:44] RJ Kedziora: It's oh, we have this great solution. if it's not part of the workflow, nobody's gonna adapt it or adopt it. know a physician now, you have to see 15, 20 patients a day and, kind of thing. You're massively overwhelmed. They're not gonna be like, oh, let me take on this new, technology and try it.

[00:27:02] RJ Kedziora: There are individuals that are doing that. We're working with a bunch of them on different projects, but that day-to-day is really hard. You're not gonna get that mass adoption if you're not part of the workflow. So it, I think those challenges are not really technical, it's people and process or the major challenges in the industry and even here in how are you gonna get reimbursed for the use of the system?

[00:27:27] Patrick: , we're all humans Resistant to change is a thing, but just like any new technology, there's a, there's a curve, early adopters, and then at some point it just. Takes off. I think with ai I think that curve , is more exponential than anything else we've ever seen.

[00:27:41] Patrick: I could talk for hours about this stuff, rj, but , tell me about extended solutions and what's the latest and greatest thing in what you're doing and how people can reach you.

[00:27:52] RJ Kedziora: Yeah. Aste, as I mentioned, is a company I co-founded digital Health Software Development, AI focus exclusively. We are ISO 13 4 85 certified, which qualifies us for, medical software development. So always looking for the next opportunity. extended.com is a good place to start our LinkedIn.

[00:28:14] RJ Kedziora: My LinkedIn, always putting out there, good. What I think is interesting content. Trying to spur the next innovation. We really work on the r and d side of things. A lot of our

[00:28:25] Patrick: Okay.

[00:28:26] RJ Kedziora: Have an MD and PhD involved, trying to create those cutting edge solutions to, to better understand how do we improve patient health and wellness, might be. A clinician using it, a nurse using it, healthcare practitioner or patient directly, or even we've helped medical device companies better understand how their device was being used and how to visualize the data. it's always in that focus of, how are we improving the life of others, which makes it day to day fun.

[00:28:56] RJ Kedziora: And it just gives you that warm and fuzzy feeling when you go to bed at night and you're like, I'm not a doctor, I get to have fun working with them and developing interesting algorithms.

[00:29:04] Patrick: I could definitely relate. Being in this industry, it's like you feel like, , at least you're playing a small part,

[00:29:09] RJ Kedziora: part.

[00:29:10] Patrick: you a small contribution in the overall betterment of humanity, so that's great. , anything else, you wanna promote?

[00:29:15] RJ Kedziora: Yeah I'll mention two things really quick. One, I'm working on my first book, which is a whole nother conversation, but it's called Productive Harmony. follow me on Instagram, LinkedIn, Instagram productive harmony. 

[00:29:29] Patrick: Okay.

[00:29:30] RJ Kedziora: being productive and thinking of using energy first, not time to be productive and not burn out.

[00:29:36] RJ Kedziora: Very 21st century approach to it. And the final thing, I'll just say it's my favorite quote these last few months and Bill Gates said it about our ability to imagine what is possible. if we look two years into the future, we probably tend to overestimate what is possible. But in 10 years we vastly underestimate what is possible. The world

[00:30:00] Patrick: That's great.

[00:30:01] RJ Kedziora: Not sure if it's very good or bad, but the world is changing.

[00:30:03] Patrick: I think in your last post would you mention, experiment, adapt and be better. That's how you ended your last post and that's a fitting way to end this conversation.