The Future of AI - Michael Scutt

Michael Scutt Shared the Future of AI at Recent Proptech Forum Last November 14, 2025, Michael Scutt shared his insights on the future of AI during the recent Proptech Forum.

The session explored how Google Cloud AI is actively transforming the real estate industry. From enhancing the customer experience to revolutionizing search and content generation, the presentation showcased real-world client adoption and the vast possibilities that AI continues to unlock for the sector.

Key Highlights from the Presentation:

• Google Cloud AI Integration: How industry-leading technology is being applied to property markets.

• Enhanced Search & Experience: Utilizing AI-powered tools to streamline how users find and interact with real estate.

• Content Generation: Automating and scaling high-quality marketing and data reporting.

• Real-World Adoption: Case studies of clients successfully implementing these tools today.

Transcript: 

Foucauld Dalle: We are incredibly lucky today to have Michael Scott, who's Google Cloud AI lead in Australia and New Zealand, to come and join us. And he will not only talk to us, but he will show us, he will show us how some of these clients adopt AI. Thank you very much for joining us today.

Michael Scutt: Thanks for having me. Appreciate it. All right. This statement's rarely true. Um, uh, so as I was introduced, my name is Mike. Um, I am Canadian, so I like to get that out of the way. Um, I've been playing this game with most of my presentations. Anyone wanna guess the decade?

Michael Scutt: 60s, nailed it. Someone said 60s. I share that not because it's fun to do that, but because it is crazy what you can do with AI now. All right? That prompt you can see on the screen is what I put into a tool called AI Studio, and it built that entire application that I can now take photos of people and, and play around with it. I, I did it with voice. I don't know how to code. Um, I've built this application. I built other ones for my kids to turn them into Octonauts, which is super fun.

Michael Scutt: Um, but it's pretty crazy, you know, where this has gotten to. Like I couldn't have done this 3 or 4 months ago. I mean, just to give you a sense of some of that pace, so that, that's going on and my, my role in just staying focused on AI is just unrelenting. Um, you know, August Demis Hassabis, who's our CEO of Google DeepMind, just listed out the stuff that they had shipped over a 2 week period. In September, we launched things like a pay- um, uh, agent payments protocol, so in the industry center for doing transactions.

Michael Scutt: We launched VO3 for video generation. Uh, we moved to the top of the app charts, um, won some math competition. In October, it kept going. Computer use got shipped. We launched a product called Gemini Enterprise. We went to VO 3.1. Uh, we launched this agent building tool called Opal. Um, it really is nonstop.

Michael Scutt: Um, and I checked this morning, nothing had launched, so I didn't have to update anything, which was good. Um, I expect we'll see some more stuff next week. Um, but my role is really, um, helping to navigate this. So this chart you see is called Martex's Law. And, and really it's when you get this type of an exponential change in technology, um, how do you navigate that as, as organizations? And so I My role is, is generally working with large enterprises.

Michael Scutt: I've just spent a lot, quite a bit of time with, with the folks at realestate.com.au. Um, but organizational change does not move at that same sort of pace as the technology does. And so, you know, my, my role is really to, to help organizations understand how to navigate that and, and how we can hopefully help them, uh, accelerate.

Michael Scutt: Uh, one of the other questions I often get asked is, "How do you keep up?" Um, I sadly do not have a good answer to that. So I asked Gemini. I was like, "Can you tell me a Canadian animal that does not sleep?" Turns out orcas don't sleep. They just switch sides of their brain on and off while they're, while they're swimming. Um, so I guess that's what you gotta do. You gotta be tapped into that inner orca if you wanna kind of keep up with AI. You gotta read. You gotta play with these things. You gotta use it. There's no silver bullet. Um, it just takes a lot of, yeah, just staying involved.

Michael Scutt: And then hopefully today you can all be orcas, um, and take some learnings from this, um, and, and hopefully clear with some of the things that I'm gonna show you. Um, I do get asked a lot though around the consumer side of the business, right? So I'm in Google Cloud, but like what we're doing in AI is obviously having a profound impact on our business and also on the billions of users that use our tools every day. Um, and the growth is insane, right? Um, uh, the number of tokens So if anyone doesn't know what a token is, it's basically the number of characters in each prompt that gets sent to a model and the answer that comes back. So we're now processing 980 trillion tokens in a month.

Michael Scutt: A year ago, it was 9.7. Um, I think we just, in the earnings announcement, we're now at like a g- gillion or some- whatever the next size up is from 1000000000000. Um, and the other thing that's changed is behavior, right? So, you know, our search bar is probably one of the most important parts of our business, but the way that consumers are interacting with it is changing. Uh, we taught everyone to speak pidgin English like, you know, "best shoe near me now." And now, you know, it's like, "I want some Nikes. I want them in this color. Where can I find them?" Like, I wanna know a whole bunch of detail, um, because we're now getting used to, through all these AI tools, being able to have that type of experience.

Michael Scutt: And that's forcing us to really adapt and change our business model as well. Um, and this also means it's really complex, also exciting for organizations to navigate and think about, "What does this mean for our business? How are we gonna change? How are we gonna adapt?" Um, and also it means you've really gotta think deeply about h- how your consumers are changing. What are their expectations now, um, when they hit your application, your website and interact with your employees?

Michael Scutt: You know, whatever it is, um, those dynamics are fundamentally changing. And I thought I'd walk you through a couple quick examples on the consumer side. So, you know, say someone already knows, you know, I'm, I am thinking of buying a home. Um, and I do, you know, I wanna know a little bit more. Um, and what this is, this is just a quick recording I did the other night of we now have AI mode within the search bar. And so I could actually start here. Um, I am genuinely looking at different suburbs at the moment in Melbourne, so Fairfield is one of them. Um, and rather than typing a short prompt, I'm able to put in a much longer question that I wanna ask.

Michael Scutt: And then instead of hitting search, I hit AI mode. And so what you're seeing now is very quickly how Gemini is able to understand that question. It's leveraging Google Search, all of this sort of pretty instant, and it's building out, um, a fully referenced answer to that question, and will provide the citations and links to drive traffic. And I think that's really important to note too, right? Our business is built on driving traffic. Um, and so what you'll see through AI mode is that constant ability to, to, to drive traffic to sites.

Michael Scutt: Now, say you don't know what you want or you're, you're out on the go and you're not necessarily doing search, I'm gonna share something that a colleague of mine, um, did in a session we, we, we had in the US a couple of weeks ago where he's using Gemini. I'm in the Granger Avenue neighborhood of Los Altos. How much would a 3bedroom house cost here? Based on the information I found, a 3bedroom house in the Granger Avenue neighborhood of Los Altos can range from approximately $3.4 million to $3.8 1000000.

Michael Scutt: For example, a 3bed, 2bath house at 1890 Granger Avenue is estimated at $3,435,457, and a 3bed, 2.5-bath house at 1864 Granger Avenue is estimated at $3,837,412. I think 1888, my neighbor's house just r- sold recently.

Michael Scutt: Do you know the price for this? Your neighbor's house at 1888 Granger Avenue sold for $3,650,000 on August 31st, 2023. Uh, would you know the realtor who sold this house? Garrett Jones from Keller Williams Thrive was the listing agent. Alex Wang and Nancy Reynolds from Rainmaker Real Estate represented the buyers.

Michael Scutt: So that's possible today, right? Like, if you have the Gemini app, um, you can do live stream and ask it questions. It's using search as tapping into the world knowledge it has, and then, and then using Google Search. So this is a really different experience of how to explore, uh, real estate.

Michael Scutt: Um, and, uh, you know, when we start to think about all of these things, the question I often get asked is like, you know, "What should our AI strategy be?" And that's not really the right question to be asking. Th- the question still remains, what's your strategy, right? Like, how are you gonna grow your business? You know, how are you gonna bring down costs? You know, whatever those fundamentals are that you see f- for your, for your business. But the question is more, can AI now help us accelerate?

Michael Scutt: Can we do something we couldn't do before? Can we bring a new experience, a new product to market, that could help change, uh, the fundamentals of our business? So really try to anchor on, on strategy versus just, "We wanna d-" I have some customers that've like got a goal of, "We need an agent in production by the end of the year." I'm like, "Why? Um, let's think about what you, what you actually need to accomplish." Um, and so share that, because everything that powers the consumer side of our business, um, is kind of, there's 3 tenets to it.

Michael Scutt: First is the models that are getting built. So we have a large 3,000-person or more research team, um, called Google DeepMind, and they're the ones building out all of these AI models. Um, we have world-leading infrastructure to run all of that. We have our own unique chips called TPUs. Um, interested, uh, google it and read about them. They're, they are mind-blowing. Um, but this infrastructure is what allows us to be able to serve at the scale we do, right?

Michael Scutt: So ChatGPT is, you know, got the most users and, and whatnot on that app. But we actually are running through the Gemini model across all of our platforms. If you think about Search, we're serving billions of people and queries every single day. To operate at that scale requires our global infrastructure, our own unique chips and everything that we've built. And then on the bottom, it's that ability to integrate these services into these massive platforms. So all of those brands you see at the bottom have over two billion users. Um, so the scale that we have to operate is quite profound.

Michael Scutt: Um, and from a Google Cloud perspective, we get to piggyback off of all of that, right? So, um, Google Cloud's a big, know, uh, hyperscaler platform, but specific to AI, we have everything from the chips, which is what, you know, you would've maybe seen in the press recently, Anthropic do a lot of their training of their models on our TPUs, all the way up to the applications, that experiences that I just shown you and everything in between. So we can kind of meet our customers wherever they are and with what they need to do in AI.

Michael Scutt: Um, and the, the trends that I see, um, really kind of fall into 4 areas when I'm having these sort of executive conversations. The first is around how is AI gonna change our strategy or how are we gonna build new products and, and drive growth in our business? So that, there's that application area.

Michael Scutt: Then the second is, you know, really thinking about these multi-agent AI agent systems. And those are really a lot more about, um, internal and productivity gains. How are we gonna be more efficient as an organization? Um, you know, provide better quality work? And then the third really important one that comes up all the time is openness and optionality, right?

Michael Scutt: You don't want to be locking into any particular model or framework. You want to be, have that ability that as this space changes so quickly, that you, you've got flexibility. And so that's really core to, and historically has always been to Google. We're a very open source business, um, to our detriment with the, with the, the transformer paper. Um, and then finally is that holistic AI strategy.

Michael Scutt: So like governance, security. Is that being built into the platform? How are we, how are we thinking about incorporating that into everything that we do? Um, but with those trends, what I thought is for the next bit of time is, uh, thinking about 3 areas of real estate. Um, there's a million different things I could show you. I'm gonna show you as many as I can in a short period of time. One is around the real estate experience, second is around search and discovery, and then the third around creation.

Michael Scutt: Um, so let me start with experience. This '60s mic. Um, I was not dressed like that or looked like that, but I was drinking a glass of wine when I created, um, this tool. So what I'm gonna show you now is, is I vibe coded this whole thing. What vibe coding means is I just told it what I wanted to do and it built it. So on the left-hand side is a tool by Update this property so it's a bit more modern.

Michael Scutt: I want to replace the lawn want to hear me talking. Um, so what it's got is code assist is the- is Gemini understanding what I need, and I've got it to build this application. So what you're seeing happen on the right right now was me talking to it, 'cause I don't like typing anymore, I like using my voice for everything.

Michael Scutt: Um, I've uploaded a picture, and now I tell it how I want it to be restyled or renovated. Okay? And so then what I do is hit Refine Image. And what it's going to do is it's going to use Gemini to understand my prompt, the changes that I want it to make, and then it's using this really cool thing called Nano Banana, um, which is amazing at- at image editing. And you can see the change that it's done.

Michael Scutt: It's kept everything really consistent, um, across the backyard. I added the- got it to add the slider in. Um, but then I thought like, you know, "What are the other things I need as an end user?" And I kept building this, right? So, uh, I want a project plan. I need to figure out how I get a quote from a builder. Uh, what are there going to be the- the regulatory hoops I'm going to have to jump through? And so I kept adding these features.

Michael Scutt: So you're seeing there is like this is giving a breakdown of what will be required to do this type of a renovation, the materials. I even got it to come up with some budgets for me, um, low, medium, and high. Um, I've got the ability, you'll see in a second, to download this as a PDF, so I could, you know, share it with my wife or whatever. I'm literally building all of this stuff myself, and I do not know how to code. Um, and then when we get into the- the builder's brief, I didn't know what a good brief looked like, and so I- I went into Gemini and said, "Hey, like what's a good template of a brief to give to a builder to get something, get a renovation done?" Came up with that template.

Michael Scutt: I said, "Use this template now- now build and- and now use it." And you can see it's- it's incorporated that into the application. Then I was like, "I don't know any builders." So I said, "Can you build me a tool so I can search for loc- local builders?" And so it uses Google Search and our- our Maps grounding capabilities to go out based on my address and find me local builders.

Michael Scutt: And I said, "Can you make it so I can just hit a button and it'll- it'll send, uh, an email to them with my brief attached so I can start getting quotes back?" Um, and then the final bit that I think we'll show- it'll show in a second is- is that last bit of, like, I live in Hobson's Bay right now, if I wanted to do a reno, it's- it's not the best suburb for- for those things. We're a heritage-listed house.

Michael Scutt: So what does that mean? So I pop in the address there, I hit Research. Um, and what it does is it goes and uses Search again and- and will summarise out all of that. So this is just an example. Like, imagine, like, taking this type of capability and putting it into the different types of real estate applications that you all- you all run in Power. Um, or just thinking about how you can use something like this to very quickly prototype, right? Like, this is one person who can't code, who's been able to prototype a whole idea of an application. Um, we can touch and feel it and decide if it's something we want to progress without spending months and months to build something out.

Michael Scutt: And then the second example is, I felt like as a- you know, dealing with, like, buyers' advocates, um, how is that kind of changing? Because the- the frustration I have as a buyer is, like, looking at homes is that, um Hope I don't offend anyone in the room, the estate agents don't often give me a lot of advice around the suburb and the area. They have lots about the houses, but what's more important to me is the suburb, um, that we're- we're considering. And so this is where using tools like Deep Research Um, I'm sure some folks in the room have maybe used that in Gemini or in ChatGPT, but, you know, I go in there and I give it a really detailed description of what I want to know about a suburb.

Michael Scutt: And what Deep Research does is it takes a bunch of time to really think about the question and come up with a whole plan, which you can see, and then it's going to go and use Google Search and go and do all of this research. And I think this- in this example, it goes across 150 different websites pulling all the information it can, and then generates a really nice detailed, um, report, which we'll see in a moment here. Yeah, so it's got this really long detailed report, which presents another problem.

Michael Scutt: I don't like reading long detailed reports. All right? And so what I'm going to show you now is, um, a product called NotebookLM. Has anyone used NotebookLM in the room? Good. All right, halfway. We need a Y- this, of everything, this is your homework. You need to go and try NotebookLM. It's a consumer product. It's free. You can go and play around with it.

Michael Scutt: What you do with NotebookLM is you can upload documents into it, um, all different modalities, so whether it's a video or a PDF or- or audio. Um, what I loaded in was the, um, Deep Research paper that you just saw. Um, and what it's- what it does is it ingests all these files, is it completely understands them, and then you've now got a chat interface that you can ask questions. And it's grounded, which means it's only going to use the information from those documents to respond back to me. So you're not really going to get any hallucination.

Michael Scutt: And the other neat thing that it does is it provides citations for everything that it writes in here. So we'll get an answer in a moment. Um, and we'll see on the right-hand side here, I've got that citation of where it got that information from, and it can even take me directly to where that was. I do some work with the RSPCA Victoria Board. Um, this is what I do with my board papers now.

Michael Scutt: It's amazing. It makes me seem like such a smart board member. Now, that sort of, you know, text Again, we're- we sort of haven't moved modalities. Now, the studio component of it's super cool, right? So we've got all these, uh, audio capabilities where we can. It'll create like a podcast experience of 2 people chatting. I'm going to show you in a moment. You can get it to do a debate, a critique, a brief. You can give it instructions. So this is, you know, using audio as a modality to learn and understand a topic.

Michael Scutt: We recently launched this one, which is where you can get it to generate like a presentation, a video, which is another great modality for people to learn. Um, this one I particularly love. We've got this really interesting thing called a mind map that allows you to really explore, um, the content more deeply. And again, thinking about my brief here where I'm looking into the suburb, I can really start to drill into that research, um, and look at some of these, uh, particular, um, areas and it will generate the prompt and- and give me the- the subsequent answer.But while that's running, um, what I wanted to show you is what we call, uh, interactive mode, um, and this is in the, the audio function.

Michael Scutt: So what we're gonna hear now is a podcast-style experience of 2 people talking and I'm gonna, I'm gonna interject. Welcome to the Deep Dive. Today we're, uh, taking a really close look at one of Melbourne's prime inner suburbs, Fairfield. That's postcode 37-8.

Michael Scutt: We've got the 2021 census data, a local flood risk guide, and even a specific expert due diligence report. Yeah, and the mission here is basically to make sense of Oh, hey there, what's up? Hey, before you get stuck in, can you help me understand a little bit more about, um, what the commutes are like in Fairfield?

Michael Scutt: Oh, that is a fantastic question. That's a great place to start, actually. Because transport and commute efficiency is a massive factor for anyone moving inner city, especially here. Absolutely.

Michael Scutt: The good news is Fairfield offers excellent public tr- I'm gonna stop there. You can play around with this yourself. That, this was and still is probably the most profound thing I've seen us ship. Um, it launched in February, and when you think about, like, the scale of what ju- what happened there, it understood my question, it made sense of it, came up with an answer across all those documents. It wrote a script, it, um, translated into their voices and then it integrated into that and it did it in, like, a few seconds.

Michael Scutt: Like, that latency, I still don't un- I do not understand how that works. But, um, it's also really useful. So, I put a lot of docs in, I put my board of papers in and then I will turn this on, and then while I'm doing dishes or other things, I ask questions so I can have a really great, deep conversation around the topics. A really powerful tool.

Michael Scutt: Um, would, again, encourage you all to use it, um, outside of work. And then the, the video one is, super sweet. So it'll, um, it'll basically create a video for us. So, let's talk about what it really takes to buy a family home these days. We're gonna dive deep into an expert report, a case study really, on one of Melbourne's hottest suburbs, and we're gonna uncover those hidden trip wires. You know, the things that can turn that dream home into a total nightmare.

Michael Scutt: And, more importantly, how you can sidestep them. Okay, so picture this. You've got a $2 million budget. Sounds like a lot of money, right? anyway, it will go through, it tends to be about 7 to 8 minutes. The testing showed our attention spans don't go much longer than that. Sad.

Michael Scutt: Um, and you can download this as well, um, and what's cool with it is that it uses Nano Banana. You can get it to style it in the, in the way that you want as well. Um, and so, like, for me, the, the other interesting thing, right, is these are all APIs and tools under the hood, right? Like, this is an application that Google has built, but you can still leverage these types of services to build out your own similar kinds of experiences as well, right? So, I don't want people to get lost on like, "Oh, we don't have the capability to do that through Google Cloud and the services that we provide." You can be building these types of things or you can, you can leverage these things in there.

Michael Scutt: Are we doing questions? Drive? Yeah. Yeah, so if I connect into Drive, um, I can connect and go and pull different docs. Should probably close this, it's probably confidential stuff in there.

Michael Scutt: Um, no screenshots. Um, you'd see a lot of work I do with Aria. Um, yeah, you can, and then it will, uh, auto-update. So, a trend that a lot of people do is they just put all their personal docs in there and then it's just always updating and this is, like, their go-to person to speak to, if you will, on, on any of that. So that's, um, NotebookLM.

Michael Scutt: I could stay there for ages doing more stuff with it, but yeah, play with it, use it, it's really cool. Um, so that was just a few examples of, like, what does that experience, um, in real estate, some, some ideas of things you can do. The second area is search, um, obviously search is a, a major part of the experience in real estate. You know, and historically that's been keyword-based types of search, filter-based searching, similar to, you know, the way that our search bar works.

Michael Scutt: But now what we're seeing is much more semantic questions or intuitive questions, longer questions. So the way people are looking and searching for information is, is shifting, and it's even starting to move into a more conversational experience, where people don't expect answers, they want to be able to do follow-ups. Right? And so we're building that, as you saw, in AI mode and, and those types of capabilities into Google Search.

Michael Scutt: Um, but as I said at the beginning, Google Cloud sort of piggybacks off of broader Google, and so we have a product called Vertex AI Search. Um, and so what that does is enables all of those rich search capabilities, um, through a managed service through Google Cloud. Um, so we, you know, ingest your, your data, your files, et cetera, and then, um, it can use all of our goodness to, to provide that sort of search experience.

Michael Scutt: I'm going to play you a demo. Um, these capabilities are all possible. This is a figment, so I'm not going to tell you this is, like, a live thing. It's Cymbal Homes, our, our fictitious home. Um, but really, what it, what it's illustrating first is using that more broader semantic-based search at the beginning, right? So I put a broader question in there. It's personalized and provides an answer, right?

Michael Scutt: So when I talked about that conversational component. Um, and it's also looked at my history and really understood me to start to pull together, or Jane in this instance, uh, those personalized listings and recommendations. Um, you can start to ask those broader questions like it did there around churches, bakeries, et cetera, because it can use the Google Maps grounding data that we have to better understand a suburb or an area.

Michael Scutt: Um, doing things like drawing within a map to kind of refine down those searches, and then adding more context to it, like, "I don't want to be" I think in this example, yeah, near a highway, um, becomes super interesting. And so that's kind of like thinking about language in different ways that you want to search, but also modalities, right?

Michael Scutt: So this is uploading an image. Now it'll be able to go and find properties that have s- homes that look like that. Or if you imagine you're on the go, being able to take a photo of a house in a neighborhood, Fairfield, um, and look for houses that look similar to that. Um, and then the other bit is like, uh, th- the example in here is like, I, I, I want to know about other suburbs or other cities in, in my consideration set, what else is similar to this?

Michael Scutt: And so really, the reason that this stuff starts becoming possible is, the plumbing underneath of it is very different than what you would be doing traditionally today, right? This isn't using, um, just filter-based search. This is using AI to understand embeddings and relationships across all of these different attributes and characteristics, and it's using G- Google data as well to, to sort of power that to create these really, um, sort of differentiated experiences for search. So we think this is a really exciting area, um, and, uh, to explore for real estate.

Michael Scutt: I did want to show you grounding with Google Maps. This is something we shipped, uh, a few weeks ago into, into general availability. Um, and basically, what we've done is there's so much rich data in Google Maps, um, is we've made it, uh, a, a service that you can tap into to, to sort of personalize dynamically, um, uh, landing pages or, or, or really anywhere that needs that, that data. So what I'm going to do here, this is a live demo that you can go and play around with as well, which is nice.

Michael Scutt: Uh, you don't need a Googler to show you. But the one example I really liked was, uh, what we're seeing here is there's The Regent Luxury Hotel & Apartment, um, and it's, it's giving a result based on Oh, no, this is not working. Let's try this again. Live demos. Yeah, there we go, cool. Um, so you can see here, like, based on my preferences, the landing page is different.

Michael Scutt: So if you think about the real estate experience, if you know someone, you know that I have 2 kids, you know where I live, you know that I'm vegan, you know that I like da da da, I should always get a landing page like this, right? I don't want to know all the details about a suburb, um, that aren't relevant to me. Um, 5 minutes.

Michael Scutt: Moving swiftly along, Michael. Um, so that's kind of grounding with Google Maps. I was thinking about, like, how can you take that rich data and start to im- improve that, that experience? And then the last section I'll talk to is, is content generation. Um, this is, this, this is probably one of the funnest spaces 'cause it's creative. Uh, but we have a whole bunch of models.

Michael Scutt: So we got Veo, which is our video generation model, Imagen, an image model, Lyria makes music, Chirp is for voices, and then we've got, uh, that live interactive Gemini one that you saw. Um, and what I wanted to show you here is a demo that we have built out, um, where what it's doing, um, and this is all built on top of those, those tools and APIs, and we've called it, like, our GenMedia Creative Studio. Um, but what we're gonna see is Move faster, demo guy. Cool.

Michael Scutt: Uh, it was, we did one for interior design, um, and so what we can do is upload a, like, a 2D flat floor plan, um, and then what we're gonna do is NanoBanana is gonna convert it into a 3D render. And when it's doing that 3D render, it's then gonna use Gemini to understand the rooms, right? And so what we'll see once this populates is a number of chips or buttons, and each one of those, um, is the, the particular room or attribute that it's picked out of that render.

Michael Scutt: And then what the engineers said is, "Okay, well, let's make it so you click on a room, and now it's gonna generate what it thinks an image of that room might look like, and it can also start to think about creating a video for each of those rooms." So as I use this demo tool, I can kind of go and pick and choose the different rooms, and then it's gonna auto-generate that starting frame or that starting image, and then generate a video. And then ultimately, we hit another button at the bottom to generate video, um, and it will take all of those videos and stitch them together, and we'll see in a moment a sort of fly-through, uh, type of experience.

Michael Scutt: Um, this becomes super interesting when you think about, like, new builds and, and some of those things where you've got a little bit more creative liberty. Obviously, a little bit more tricky if you're gonna do that with an established, established home. Um, but really, the potential is immense. Um, you know, imagine the types of experiences that we can be, we can be putting together to, to really change the way that real estate's experienced. So those are the 3 things I was gonna cover.

Michael Scutt: Uh, it is the tip of the iceberg. Um, I could stand up here for all day showing you stuff, um, but I tried to distill it down to, like, what are some things that are interested in the real estate experience space, um, how is, like, search and discovery changing? You sort of saw the different ways that search is fundamentally changing, and then how content, you know, really, this is such an important part of the real estate experience, and, and how can we be using this technology to modernize that? Um, we've got lots of great examples.

Michael Scutt: Rather than run through all of them, I'll leave this screen up for a few moments here, hit the QR code. The landing page you're going to, uh, we update this every month, so it was about 100 use cases in May, we're now up to 1,001. Um, so I'd suggest using control F and looking for the type of content you want rather than trying to read through all of it, but a bunch of different, um, types of case studies, um, um, and work that we're doing, uh, with different customers around the world. Um, so I guess, just in summary, to close, uh, three things.

Michael Scutt: One, be an orca. gotta throw yourselves into this stuff. Otherwise, you know, someone else is going to. Um, and it's, it's not easy, you just gotta do it. The second is thinking really about the customer experience, like, how is, uh And we're all consumers as well. How is our experience changing, and how is that applying to our business models and, and our experiences?

Michael Scutt: And then the third one is really, you know, creative, the creative industry's rapidly changing right now, and, it's a bit daunting and scary, but it's also a really interesting opportunity where, you know, people like me can create stuff that I couldn't have done before. So, um, I think that's the other big area. But, um, thank you for the opportunity to pre- present to all of you.

Michael Scutt: I hope you guys have a great rest of your day. Thank you.