PropTech Pulse: Matthew Ferrara & York Baur on Thoughtful AI and Data Security

In this episode, listeners will learn how to move past AI hype and achieve genuine ROI through the lens of "Thoughtful AI." Strategic consultant Matthew Ferrara and technologist Yorke Bauer join us to reveal how a unified data strategy transforms technology from a distraction into a high-level strategic partner.

The conversation explores the shift toward "invisible" user interfaces and explains why automating business processes like transaction management is more impactful than simply generating social media content. Ferrara and Bauer also reveal the hidden risks of public AI models, challenging brokerages to prioritize data security and vendor accountability.

As veteran leaders at the intersection of real estate and technology, Ferrara and Bauer offer a masterclass on navigating the complex 2026 tech landscape. This discussion is essential for any professional looking to scale productivity while protecting their most valuable asset: data. Subscribe to PropTech Pulse today for more actionable insights and visit Lone Wolf online to explore our latest industry-leading tools.

https://www.lwolf.com/podcast

Transcript

00:00:01:03 - 00:00:24:28

Kyle Hunter

Welcome to the Tech Pulse podcast. Your inside look at the world of real estate technology. I'm your host, Kyle Hunter, here to guide you through the latest trends, expert insights, and game changing tech shaping the real estate world. This is your go to source for staying ahead of the ever evolving industry. Let's dive in. Hello everyone. Thank you for joining Prop Tech Pulse.

00:00:24:28 - 00:00:34:04

Kyle Hunter

I have a couple very special guest today. Matthew Ferrara and Yorke Bauer, and we're gonna have a great conversation. So I'll kick it over to you. You're.

00:00:34:06 - 00:00:40:04

York Baur

Well, thanks for having me. Pleasure. A pleasure to be here. Excited. Talk about our topics today, particularly the wacky world of AI.

00:00:40:10 - 00:00:42:19

Kyle Hunter

Oh, yeah. It's all the buzz these days.

00:00:42:20 - 00:00:44:08

York Baur

Yes, it is.

00:00:44:10 - 00:00:48:01

Matthew Ferrara

And I'm glad to be here. This is going to be a lot of fun. Thanks for inviting me.

00:00:48:03 - 00:00:51:04

Kyle Hunter

So, York, you want to go ahead and, kick us off?

00:00:51:05 - 00:01:13:26

York Baur

Sure. So, there are lots of things we could talk about in the frame of AI here, but. And you and I have certainly had many a spirited conversation about that with, with many people in the industry. But let's let's start with, what I would term thoughtful AI. We've we've heard a lot of, chatter about all sorts of things.

00:01:13:26 - 00:01:45:27

York Baur

AI within the realm of Proptech. And more broadly, obviously. I personally am of the mind that there's a lot of hype and a lot of noise, and the stuff always takes longer and costs more than you think. And that's from a career building software of all types, including AI. So maybe let's start off by talking about in the real estate context, what does it mean to have not just AI, but what are the thoughtful ways to use and create and apply AI?

00:01:46:00 - 00:02:08:24

Matthew Ferrara

This is an area that I think finally is getting the attention that it deserves. You know, when I really became more popular, let's put it that way. I mean, AI research and development has been around for a long, long time. But as it's become more popular and certainly built into everyday products, I think the exciting parts of it overtook the thoughtful parts of it.

00:02:08:24 - 00:02:31:20

Matthew Ferrara

And so it's fun to use your voice or just speak in plain language and and have software react to you, but it doesn't necessarily lead to results. It doesn't need to lead to the kind of outcomes that you want. And so I'm glad to hear that thoughtful AI is becoming more of a primary focus, not just for developers, but also for users as well.

00:02:31:23 - 00:03:06:27

Matthew Ferrara

And so for me, thoughtful AI is thinking two steps ahead. It's sort of the chess game of saying, what is it? We're really trying to help influence, whether it's through designing code with AI at the right place at the right time without it being intrusive, or in terms of how we're encouraging people to apply it. Are they using I just to produce, as the term is now known as work slop, or are they using it to actually produce a delightful experience for their clients or to drive some growth that otherwise would have been unattainable?

00:03:07:03 - 00:03:07:12

York Baur

Yeah.

00:03:07:12 - 00:03:29:23

Matthew Ferrara

Beforehand. So that is where I'm excited about the conversation around AI today, because you're challenging people to be strategic. You're challenging people to give the ends, not just the means, as much attention. And the cool part is that the software will do whatever we want it to do. Yes, but you have to know what you want it to do.

00:03:29:24 - 00:03:43:04

Matthew Ferrara

What's the old saying if you don't know where you want to go? No road will take you there. So this is the same thing, but now applied to something that I'm glad it's caught everyone's attention. But now we have to be asking to what end? Where are we going?

00:03:43:05 - 00:04:09:17

York Baur

Totally. And I, I agree with everything you just said, and I would put a finer point on the, frivolous ness of what much of what has been done. My my grand favorite was, we've automated the listing description. It's this big deal and blah, blah. Well, okay. Firstly, potentially dangerous, but more importantly, the average agents doing less than ten listings a year, so what have you really, you know, and it takes some five minutes to write it.

00:04:09:20 - 00:04:13:29

York Baur

It's like you haven't solved anything from a business point of. That's correct kind of job.

00:04:14:00 - 00:04:14:27

Kyle Hunter

Yeah, yeah, yeah.

00:04:15:01 - 00:04:37:12

York Baur

So yeah. So I feel like that's the, the, the true opportunity that, that all of us need to be pursuing is map out the business process. Look at where the true, biggest skill gaps are, which is not writing a listing script. And where is the tedium and the time spent? That's where you apply the automation.

00:04:37:14 - 00:05:11:01

Matthew Ferrara

Think of it like this. I would argue that the vast majority of real productivity gains are going to happen behind the scenes, not in front of the scenes, but to catch the attention of the user. You do things like, oh, look, you can write a social media post or 100 social media posts in three seconds. Oh look, you can design an entire annual calendar of marketing pieces, etc. that catches their attention, but it doesn't substitute for now the question of but what do you want to say?

00:05:11:04 - 00:05:16:27

Matthew Ferrara

What does the consumer need to hear? What is your value proposition? Still hasn't solved any of those problems?

00:05:16:28 - 00:05:39:17

York Baur

No. And worse than that, I believe it. It has the potential for many to become a homogenizing crutch. It's the great homogenize. Everything starts to sound the same. Yeah. So it's it's not that you shouldn't use it. It's how you use it and how much energy you put into the refinement and the refinement and the refinement, again, to make it truly whatever it is that's going to differentiate you.

00:05:39:19 - 00:05:44:23

York Baur

If it's doing something creative and if it's doing process you don't want, that's great creativity, don't need anything.

00:05:45:00 - 00:05:46:09

Matthew Ferrara

You want consistency and.

00:05:46:09 - 00:05:47:15

York Baur

Accuracy and standards.

00:05:47:15 - 00:06:11:22

Matthew Ferrara

Of performance. This is why I argue that the greatest uses of AI most people won't see. They will be behind the scenes in saying it used to take us, five hours and five different persons to enter a listing into five different ML lessons. Now I will, using a standardized procedure, turn that into five seconds. Okay, that's a massive activity gain.

00:06:11:22 - 00:06:14:27

Matthew Ferrara

And that's real savings. That's real money on the table.

00:06:14:29 - 00:06:35:24

Kyle Hunter

Well, and I got a question on that. I mean, so I was with a group of agents, and it was all discussion about AI and they're all sharing all these stories about how they were doing different things. But at the end of the day, was it actually moving the needle? And it was productive. So I'd love to understand, you know, what you guys thoughts on how do you pick what actually makes sense?

00:06:35:24 - 00:06:36:08

Kyle Hunter

Like what.

00:06:36:08 - 00:06:53:05

York Baur

Makes sense. Yeah. And and it's a good segue to into a, in my opinion, related to what you were just touching on it, which is what happens to the user interface as this all evolves. Because I think, you know, in the grand scheme of things, you know, the the best user interface is no user interface at all, right?

00:06:53:07 - 00:07:11:29

York Baur

From the point of view of an agent. Yes. Or or really any really any knowledge, right or right. Absolutely. It just do it for me. Yes. And I think it also relates to what you're talking about. I think that's where the true productivity gains are because to some degree, to the extent that I'm spending time, you know, messing with my new toy, it can actually be anti productive, right?

00:07:11:29 - 00:07:15:08

York Baur

It can actually divert me and distract me. Right.

00:07:15:08 - 00:07:38:21

Matthew Ferrara

Exactly right. Think of this. If you if you really think like two steps ahead, I should never be seen. You shouldn't actually be thinking. I have to create a prompt. I have to make the software make a decision. In fact, one of the beautiful things about some code is that you won't see any other software choices until they're needed.

00:07:38:21 - 00:07:57:23

Matthew Ferrara

It stays invisible. It's the thinnest possible interface ever, because the prompt simply says tell me where you want to start, but I'm not going to show you 14 menus. I'm not going to show you 56 choices. I'm not going to show you 900 buttons that could overwhelm you until you need any one of them. So from an operation standpoint, that's almost magic.

00:07:57:26 - 00:08:12:09

Matthew Ferrara

And then the flip side, though, is that that changes the responsibility, because if you go to a machine with no buttons and you don't know what to ask for. So going back to your question, where do you start with that? You actually have to start with what makes money in this business.

00:08:12:13 - 00:08:12:24

York Baur

Yes.

00:08:12:24 - 00:08:25:22

Matthew Ferrara

What helps an agent make money? What helps an office make money? What skills at a company level that makes money. And that's where you want to apply the automation. Writing social media posts doesn't make anyone money. I'm sorry, that's like not a problem to be solved.

00:08:25:22 - 00:08:36:18

York Baur

And I think one of the things we've lost, it's so interesting what you just said. I think one of the things we've lost for a long time in software and AI is now, I think, making it quote unquote, even worse in this regard. I think about.

00:08:36:23 - 00:08:37:26

Matthew Ferrara

Obvious and the.

00:08:37:29 - 00:08:58:03

York Baur

More obvious, which is what would you do if it was a human being as opposed to a machine? Right. So do you want a bunch of people, like if you have an organization, do you want everyone just sitting there doing nothing until you go to them individually and say, hey, do this thing for me? No. Right now you want them coming to you going, hey, boss, I had this idea and I could do this thing.

00:08:58:03 - 00:09:17:01

York Baur

And here's an opportunity and right. That's what ultimately I think needs to I think we're just incredibly embryonic, really, in the user interface part of AI. Because really, what it needs to be is is it talking to you, not you talking to it. Yes. You know, there's that's where the true long term value is, especially for a non-technical user like most agents.

00:09:17:01 - 00:09:20:21

Matthew Ferrara

most agents and actually most owners, most managers really all.

00:09:20:21 - 00:09:21:20

York Baur

Those business people and all.

00:09:21:20 - 00:09:25:18

Matthew Ferrara

Of us want to be non-technical. I want to be nice.

00:09:25:20 - 00:09:27:06

York Baur

I have to technologist. I want to be.

00:09:27:08 - 00:09:39:24

Matthew Ferrara

Let's say, if I have to get in my car and I need a PhD to turn the air conditioning on or find a rear defroster, I want no interface in that case. Now go back a step to what you were just saying though.

00:09:39:26 - 00:10:01:25

Kyle Hunter

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00:10:01:27 - 00:10:06:08

Kyle Hunter

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00:10:06:10 - 00:10:34:25

Matthew Ferrara

One of the challenges around understanding like who should be doing what? Is that you can't automate what you didn't have a process for before. So I one of the wonderful things is it actually reveals problems in your strategy, problems in your operational plan to execute on the business. Because let's take AI out of the equation right now. I can take some agents and I can bring them into the office and say, well, go to work and they don't know what to do in their case.

00:10:34:26 - 00:10:55:07

Matthew Ferrara

Special. The new agent adding AI to it isn't going to help at all. On the other hand, I could take some great, highly productive agents and say we'd like to use AI to try and improve your productivity, reduce your costs, streamline, increase consistency. And they're actually not able to step back and say, here's what needs to be done.

00:10:55:07 - 00:11:07:07

Matthew Ferrara

Believe it or not, AI is not intuitive in its application. This is where it really pays to have a business partner. This is where it pays to have someone who understands business process automation.

00:11:07:07 - 00:11:08:24

York Baur

Streamlining steps.

00:11:08:27 - 00:11:15:17

Matthew Ferrara

And then we'll say, you know what? We could do this with some AI, but we also might want to do this with a stapler. Or we might want to do this with.

00:11:15:17 - 00:11:16:21

York Baur

And and that's a.

00:11:16:21 - 00:11:17:12

Matthew Ferrara

Laser print.

00:11:17:12 - 00:11:36:09

York Baur

That's where I think you need to hold your as, as a broker owner. And particularly you need to hold your technology partners to that standards because otherwise you're just going to get a bunch of cool whizzy stuff. Is it really going to move the needle to use the term you just used? And that's where I think, companies lone Wolf is an example.

00:11:36:11 - 00:11:46:03

York Baur

But that's back to thoughtful AI. We have to do stuff that's actually going to produce a business impact, not a bunch of shiny stuff, which this is a shiny object industry to begin with.

00:11:46:03 - 00:12:07:07

Matthew Ferrara

And I think that's obviously a challenge. The shiny object end of it, the, the unfortunate side is that there are some excellent places that AI is already popping up, popping up in property search. It's popping up, I'm sure being able to access, company documents and being able to have access to content when a human isn't available. So take like an agent's perspective.

00:12:07:10 - 00:12:27:26

Matthew Ferrara

Wouldn't it be cool to use AI so that if their manager is currently unavailable, they could get started on solving a problem? I'm not saying the AI should solve the problem for them, but you know, I'm having this problem with the transaction. Where do I get started? Oh well, here's some company policies. Here's some previous examples of deals that we resolved in this way.

00:12:28:00 - 00:12:57:14

Matthew Ferrara

And when your manager is ready now you can you're actually more empowered to go ask an intelligent question. Sure. And the manager is able to identify quicker solutions for you. Those things are as much as part of the process as engineering a prompt. I just want to say one thing here though. You had mentioned something really important, which is you want the AI to be asking you, not just you trying to figure out how to almost cajole the AI into into doing its best thing.

00:12:57:17 - 00:13:23:27

Matthew Ferrara

I will say this we've already learned in just the past couple of years how to engineer better prompts. For example, it's now a standard procedure to encourage people to not just say, hey, whoever Claude ChatGPT, etc. give me a thing, give me an answer to something, generate some content for me. Now it's standard procedure to say, let me tell you the conditions, let me tell you the restrictions.

00:13:23:27 - 00:13:44:02

Matthew Ferrara

And now interview me. Ask me a series of questions, one at a time, getting at this goal. Now, just that improvement alone makes AI more effective when you're trying. I mean, you're you're sitting in front of ChatGPT. It's just an empty box. It won't do anything for you. It doesn't say, allow me to suggest how you should be more productive.

00:13:44:07 - 00:14:08:19

Matthew Ferrara

You have to actually ask it to come up with those ideas. What? What? The reason I say this is because this is an example of us already being more thoughtful rather than saying, give me an answer, we're now saying, be a thought partner, be a sparring partner, be a challenge to my thinking, or just be someone who can help me come to the decision rather than turn it over to the software.

00:14:08:19 - 00:14:29:29

Matthew Ferrara

Because with all due respect, nobody really knows what's going on inside these boxes right now. Specialty AI's. We know exactly what's going on inside the boxes. If there's an AI built in a lone wolf built in other MLS products, we know exactly what's going on. But in a broader sense, nobody knows what's going on inside the box. So saying come up with a marketing strategy for me, not a great idea.

00:14:29:29 - 00:14:50:09

Matthew Ferrara

It's like me here in Vegas going to the bar and going, hey, buddy, you want to come up with my social media strategy? Yeah. What do you feel like today? So it's literally that dangerous. The flip side is that when you have specialty eyes, the magic is unbelievable. When they are built on actual policies, procedures, examples. Yeah. Data.

00:14:50:12 - 00:14:51:18

Matthew Ferrara

Really? Well things.

00:14:51:18 - 00:15:15:16

York Baur

Yes. And which kind of leads me to, to a final topic I want to make sure we touch on before we end up here, which is and I'm going to go down the road that you were going down about the, the prompt. So to me, the only way to achieve what you just said, the specialty AI in real estate, yes, it is dependent as every other automation technology before it has been dependent on the data.

00:15:15:19 - 00:15:32:08

York Baur

Yeah. Got to have the data unified, normalized in a commonplace right, readily accessible not only by one app, but by all apps, etc. etc. and what it I think enables. I want to go back to the prompt thing for just one second. I guess what I envision is this I feel like, and this is going to age me big time.

00:15:32:11 - 00:15:49:12

York Baur

A lot of people listening will not have had this experience, but those of us that have been around a while in computing remember the DOS prompt? Oh, there you go. Right? C greater than as it used to be. And by the the neophytes. That's right. So here's the thing. That was the prompt world, right. You the computer sat there until you typed something that blinked.

00:15:49:18 - 00:16:04:03

York Baur

Yes. And that's the world we are in at the moment. I think with AI, whereas windows are guys came along and suddenly it could notify you of things. It could do stuff while it was multiple things. It's saying, right. That's the piece that we're just, I think, on the precipice of.

00:16:04:03 - 00:16:04:22

Matthew Ferrara

Yes.

00:16:04:24 - 00:16:32:22

York Baur

But all of the stuff we've talked about today and in particular the hardcore, vertically oriented real estate specific stuff, is dependent on the data. And I find it shocking to this day as someone that's built my career on the topic of get all your data into a common platform that we're in 2026. Still talking about it, but I think it was it was a, in my opinion, a big productivity booster to have it all in one place.

00:16:32:24 - 00:16:33:16

York Baur

It to date.

00:16:33:16 - 00:16:33:29

Matthew Ferrara

Yes.

00:16:33:29 - 00:16:42:05

York Baur

Now though, it moves from that to being critical. If you don't have your data in one place, you cannot take meaningful advantage of AI.

00:16:42:11 - 00:17:09:15

Matthew Ferrara

Well, period. And quite frankly, there are lots of things you can't take meaningful advantage of. Think about what's happening in our industry right now. There's actually, pressure to, fracture the MLS database. Imagine what chaos that will cause to seller's ability to do a CMA. Well, we don't have all the data anymore. How do I properly price my home if, days on market or price reductions have been hidden from the data set?

00:17:09:21 - 00:17:33:16

Matthew Ferrara

So this is a this is the reverse is equally as true. But if you wanted to take advantage of AI, if you wanted your software partners to bring you greater returns, you have got to make your data a priority. I want you to imagine any other industry that had a primary resource. Imagine a steel industry they've got, you know, they've got mines and they've got a foundries, whatever.

00:17:33:16 - 00:17:38:25

Matthew Ferrara

Imagine them being in disrepair. Imagine not being able to pull all of your coal and or together.

00:17:38:27 - 00:17:39:18

York Baur

All.

00:17:39:20 - 00:17:50:03

Matthew Ferrara

The raw materials. Well, our raw material, we are a knowledge industry. So our data is our raw material upon which we create knowledge that benefits the buyers. Yes.

00:17:50:05 - 00:17:59:08

York Baur

Yes. And you mentioned the MLS, a critical component, but I've heard comments like, oh, all the data is in the what? Right. It's not all in the.

00:17:59:13 - 00:18:01:01

Matthew Ferrara

And even remotely in the, you know, a.

00:18:01:01 - 00:18:24:02

York Baur

Tiny fraction like current transaction management process, like the, the richness of information in that process, which, by the way, is an awesome candidate for automation with AI because there's tedium in there. Human error is is rife in there. It's illegally and and compliance critical like on and on. That's these are the areas where I think is going to make the greatest impact in the nearest amount of time.

00:18:24:02 - 00:18:44:00

Matthew Ferrara

And we're seeing some cool things. We're seeing organizations that are finally pulling together data sets that nobody imagined combining in the past. For example, I want to combine not only how many transactions someone does and the price point at which they do them, and the commission rate at which they do them. I want to connect that to how many office meetings they attend.

00:18:44:07 - 00:19:04:05

Matthew Ferrara

I want to connect that to how many trainings and which ones they attended. I want to connect that to how many hours of coaching they showed up for. And then I want to take all of that and have it produce insights. How do I coach this person better? What is the most next logical class to give them? Which tools should they never learn how to use?

00:19:04:05 - 00:19:24:19

Matthew Ferrara

Because frankly, they're no good at it? And which tool them can we automate for them or turn it over to someone else? And which tool should we double down on? So there are not only sources of data that we don't that we have, that we haven't mobilized, but there will be new sources that's generated from this that are going to be expansive in their impact.

00:19:24:20 - 00:19:41:23

York Baur

Couldn't agree more. You gave great examples on the agent side. I think the same thing is true on the consumer side, the amount of richness of data that is in the closing documents alone is massive in terms of how you then appeal to this, yes, this consumer, over time during their homeownership journey for a future transaction of some kind.

00:19:41:26 - 00:20:00:11

Kyle Hunter

Yeah. So I got one more question that I would love to hear you guys answer on. And that is security. I mean, we talk about all of the data. We talk about all of the things that are out there. How does a brokerage stay secure? And all of that information that they have with the age of AI. And like what what's your thoughts on that?

00:20:00:14 - 00:20:20:14

York Baur

Well, and this is this is not some grand insight, but it's I think it's worth mentioning again in this context, which is that, if you put your stuff into any public model like ChatGPT or any of the popular, you know, yeah, you're you're sharing it into that model, which now makes it ultimately accessible to anyone else that uses that model.

00:20:20:14 - 00:20:40:23

York Baur

So I think you need to first step is you need to choose technologies, that are contained within, a vendor or whatever vendors you as a brokerage choose to work with. And then the second thing is you need to hold those vendors to an incredibly high standard because it is it it can be dangerous. I, you know, in its in its use.

00:20:40:23 - 00:20:59:19

York Baur

And I think one of the things I've, I've noticed this is long standing and I by the way, I went through this journey 15 years ago when I came to real estate, which is it's very easy as a technology person, which I was coming from other industries to not appreciate how real estate works. And so you get these sweeping, we'll just do what we did over here kind of comments from these entrepreneurs.

00:20:59:21 - 00:21:19:17

York Baur

And, and I love the creativity and the spirit of it, but it's it's incredibly dangerous if you don't understand how data is collected and used in real estate, I think it's potentially very dangerous. So I think hold your vendors to a high standard and place a premium on those that have had some time in the industry to make sure they understand how this whole thing works.

00:21:19:18 - 00:21:39:11

Matthew Ferrara

Yeah, I couldn't emphasize that enough. I definitely think this is a place where your vendor is your best friend. But yes, hold them to a very high level of accountability. But let's be really honest, most individual business persons, inside or outside of real estate, are not super focused on what it means to deal with data security. Let me just give you a simple example.

00:21:39:12 - 00:21:42:11

Matthew Ferrara

Do like not to create like panic or anything like that.

00:21:42:11 - 00:21:44:02

York Baur

But we go you heard it first.

00:21:44:02 - 00:22:02:26

Matthew Ferrara

Well you heard it first here, right now in any real estate office in the United States, there is consumer data that is on an agent's cell phone, smart phone that could walk out the door at any given minute. I mean, I'm talking about PDFs and I'm talking about document. I mean, just moving that stuff into the cloud was a big move.

00:22:03:00 - 00:22:05:19

Matthew Ferrara

But there's email communications. There's lots of stuff.

00:22:05:24 - 00:22:08:17

York Baur

So we're creating the password on the sticky expert.

00:22:08:17 - 00:22:28:11

Matthew Ferrara

I mean, we already have some security issues, but this is now this goes to a scale and incredible scale with AI. Now, not only do you point out that if I use a system unwittingly, so an agent thinks I'm going to upload some transaction data because it will help me find some insights, and they upload it to one of these public LMS.

00:22:28:14 - 00:22:56:11

Matthew Ferrara

That seems innocuous and as you rightly point out, that could expose that data to being used. Now by the public or any, future model. Right, because it iterates on the model. But I also want to point out something else in order to make a gigantic I work in order to be able to say, hey, launch this agent that can not only look at this data, but analyze this and make an appointment and charge my credit card and buy some marketing and do all of that you are going to need now check this out.

00:22:56:11 - 00:23:27:10

Matthew Ferrara

To make all those systems work, you're going to need root level access. Access. Now, with all due respect, I love the idea and I'm petrified of the idea. Yes, because root level access is one of the greatest security dangers. Worst of the of the connected interface. Yeah. And so do I want to be able to say, hey, agent, find me some great tickets to a show at the Wynn and just book it and then tell all my friends by email that they can come along.

00:23:27:16 - 00:24:02:16

Matthew Ferrara

Love that. But now he's got access to my email, my credit card, my calendar. So there is an inherent area where this is where the trust of the vendor is magic. This is where knowing what they plan to do, believing their privacy policy not just that they have a privacy policy, but believing it. And then absolutely having that accountability because everyone, all three of us here at this table have had our credit card data exposed by supposedly the smartest, biggest, most surprised corporations in the universe.

00:24:02:19 - 00:24:22:15

Matthew Ferrara

And if they can get hacked and all of a sudden you know, a couple a hundred years of, a couple of hundred thousand transactions over ten years have been leaked into the dark web. But again, that's the scary side of it. This is where knowing that you are working with a vendor who knows what they're doing has a reputation, and listen may make mistakes.

00:24:22:15 - 00:24:27:05

Matthew Ferrara

That's just life, but is actively working to prevent them.

00:24:27:07 - 00:24:31:23

York Baur

That's real and has has as a history of having dealt with. Yeah of information.

00:24:31:29 - 00:24:32:16

Matthew Ferrara

Absolutely.

00:24:32:17 - 00:24:33:14

York Baur

Yeah. Yeah yeah.

00:24:33:16 - 00:24:36:16

Kyle Hunter

Well that's a great place to wrap guys. You got to pick a good vendor.

00:24:36:17 - 00:24:38:10

Matthew Ferrara

There we go.

00:24:38:12 - 00:24:45:05

Kyle Hunter

Well, Matthew York, thank you so much for joining us on, prop tech Polson. Yeah. Have a great rest of your day.

00:24:45:11 - 00:24:46:01

York Baur

Thanks for having us.

00:24:46:01 - 00:24:48:10

Matthew Ferrara

Got my pleasure. Glad to be here.

00:24:48:12 - 00:25:07:04

Kyle Hunter

Thanks for tuning in to the Prop Tech Pulse podcast. Looking to take your real estate game to the next level? Check out our cutting edge tools. Visit airwolf.com to learn more and see how we can help you succeed. I'm your host, Kyle Hunter, and I'll catch you next time as we continue exploring the future of real estate together.

00:25:07:06 - 00:25:14:22

Kyle Hunter

Don't forget to subscribe, leave a review and stay connected. Until then, keep innovating and thriving in the world of real estate.