2. The AI-Driven Future Is Already Here—What CRE Needs to Know 的完整文字稿

00:04:20.933 --> 00:04:23.333 It sounds like it for sure. 00:04:23.333 --> 00:04:25.100 I do. 00:04:25.100 --> 00:04:27.600 You know, Yardi has really leveraged 00:04:27.600 --> 00:04:31.133 AI for things like invoice processing for years. 00:04:31.133 --> 00:04:36.333 But something shifted about 24 months ago with the rise of large language models. 00:04:36.366 --> 00:04:41.400 How has that conversation for your customers changed since that shift? 00:04:43.700 --> 00:04:44.100 Yeah, 00:04:44.100 --> 00:04:47.933 I think the power of artificial intelligence was recognized. 00:04:47.933 --> 00:04:50.666 And if you look at 00:04:50.666 --> 00:04:54.400 pre-LLM, it was really around 00:04:54.533 --> 00:04:58.800 natural language processing, machine learning, 00:04:59.166 --> 00:05:03.033 chat bots that had natural language processing in it. 00:05:03.033 --> 00:05:06.233 And large language models really 00:05:06.233 --> 00:05:10.133 change the landscape because the end users are really seeing the benefit of it. 00:05:10.133 --> 00:05:13.933 And whether it was doing, you know, a simple task at work or a question 00:05:13.933 --> 00:05:17.600 that your kids might ask of you, you know, whatever it might be. 00:05:17.600 --> 00:05:19.833 But having the ability to go through one of these 00:05:19.833 --> 00:05:22.866 AI interfaces and really interact with it and see the power of it, 00:05:22.900 --> 00:05:26.533 I think just brought a lot of excitement to, certainly to our customers, 00:05:26.533 --> 00:05:29.066 but I think just more broadly out there. 00:05:29.066 --> 00:05:32.433 And it's been an exciting time, and a lot 00:05:32.466 --> 00:05:35.433 certainly has changed even since those came out. 00:05:35.433 --> 00:05:38.733 You know, with ChatGPT really coming out first and the other ones after that, 00:05:38.733 --> 00:05:42.233 but a lot of excitement around large language models and AI in general. 00:05:42.700 --> 00:05:43.233 Yeah. 00:05:43.233 --> 00:05:46.466 Well, that explains a lot about the really 00:05:46.466 --> 00:05:50.100 the genesis of our conversation today and how- on how we got here. 00:05:50.100 --> 00:05:53.500 So now let's start talking about the fact that we are here. 00:05:53.500 --> 00:05:58.800 So it's all been a huge evolution in AI in every industry. 00:05:58.800 --> 00:06:01.666 But commercial real estate is no exception to that. 00:06:01.666 --> 00:06:06.466 And we've really moved past the hype phase into a phase where 00:06:06.500 --> 00:06:10.866 including AI in your service offerings is now table stakes. 00:06:10.900 --> 00:06:12.866 So what are we seeing? 00:06:12.866 --> 00:06:16.400 Or what are you seeing more specifically from the C-suite 00:06:16.400 --> 00:06:20.400 as it relates to incorporating AI into your service offerings? 00:06:22.133 --> 00:06:22.733 Yeah, I think 00:06:22.733 --> 00:06:26.300 you're spot on in terms of AI being table stakes. 00:06:26.666 --> 00:06:30.000 I think the C-suite is asking a

lot of questions, 00:06:30.033 --> 00:06:32.933 and typically those questions will fall on the IT group. 00:06:32.933 --> 00:06:34.300 And the questions are around 00:06:34.300 --> 00:06:38.533 how AI is going to have an impact on their business and where they see 00:06:38.733 --> 00:06:41.866 AI kind of transforming the way they do their day to day. 00:06:42.066 --> 00:06:47.466 And so I think that's a good thing, because the benefit is 00:06:47.633 --> 00:06:49.133 and vision is certainly there. 00:06:49.133 --> 00:06:53.266 And the IT groups are being tasked with how to deliver now. 00:06:53.266 --> 00:06:57.800 And they have a perceived interest or actually 00:06:57.800 --> 00:06:59.700 actual interest from the C-suite. 00:06:59.700 --> 00:07:01.633 And with that comes budgets. 00:07:01.633 --> 00:07:04.700 When they're-- with that comes, I think, a lot of excitement and opportunity. 00:07:04.700 --> 00:07:08.433 And so I think I view that as a really good thing, that everyone 00:07:08.433 --> 00:07:12.666 wants to see the power of AI across their organization. 00:07:12.933 --> 00:07:13.666 Yeah. All right. 00:07:13.666 --> 00:07:15.666 You mentioned IT groups, 00:07:15.666 --> 00:07:20.800 Are you seeing any different things from a finance standpoint 00:07:20.800 --> 00:07:24.066 or any other personas related to the commercial real estate space 00:07:24.066 --> 00:07:27.100 into how they're leveraging their software partners 00:07:27.100 --> 00:07:30.233 to help navigate this, this new-- these new waters? 00:07:30.900 --> 00:07:35.233 Yeah, I think that demands are coming from multiple different groups, 00:07:35.266 --> 00:07:40.100 certainly from the finance side really looking at cost savings, right? 00:07:40.100 --> 00:07:45.466 And where artificial intelligence is going to help their bottom line. 00:07:45.700 --> 00:07:49.466 From an IT perspective, certainly that's part of the conversation. 00:07:49.466 --> 00:07:53.300 But I think the conversation is also around security and governance. 00:07:53.300 --> 00:07:57.100 And, you know, the user conferences 00:07:57.100 --> 00:08:00.833 or industry events that have technology folks at it. 00:08:00.833 --> 00:08:04.933 I can tell you every single topic is around artificial intelligence. 00:08:04.933 --> 00:08:08.500 And so they are living and breathing it whether they wanted to or not. 00:08:08.500 --> 00:08:10.666 And they're being asked a lot of questions. 00:08:10.666 --> 00:08:12.600 I think finance groups are too. 00:08:12.600 --> 00:08:15.933 And I would say by and large, those are the two largest groups that we talk to. 00:08:16.000 --> 00:08:18.900 Certainly there's other influencers within the organization. 00:08:18.900 --> 00:08:21.933 There's executives as well, who love to get updates 00:08:21.933 --> 00:08:25.466 in terms of artificial intelligence impact on the industry. 00:08:25.500 --> 00:08:28.900 What we're hearing from our customers, we have a pretty good view, 00:08:28.900

--> 00:08:33.100 just given that 50% of real estate runs on our platform. 00:08:33.166 --> 00:08:38.233 And I think, you know, many folks are looking to their software 00:08:38.233 --> 00:08:42.400 providers to answer questions and to make sure they have 00:08:42.400 --> 00:08:45.700 a good foundation and understanding of the implications of AI. 00:08:48.100 --> 00:08:50.866 I love that you mentioned security. 00:08:50.866 --> 00:08:54.466 And, you know, obviously, when it comes to new tech, 00:08:54.666 --> 00:08:58.233 the biggest worries are usually around safety and security 00:08:58.233 --> 00:09:00.433 and who actually controls the data. 00:09:00.433 --> 00:09:04.433 How has Yardi updated its systems to make sure a company's 00:09:04.433 --> 00:09:08.933 private information stays protected and doesn't end up where it shouldn't be? 00:09:10.400 --> 00:09:10.733 Yeah. 00:09:10.733 --> 00:09:13.700 So I can tell you, our lawyers have certainly been busy 00:09:13.700 --> 00:09:16.700 looking at regulations that are coming out country by country. 00:09:16.700 --> 00:09:18.533 You know, we have a pretty broad range 00:09:18.533 --> 00:09:21.000 of 80 different countries our platform is run on. 00:09:21.000 --> 00:09:25.700 And so each jurisdiction and country might have their own kind of standards. 00:09:25.766 --> 00:09:30.033 I will say though, to your question, in terms of what has changed 00:09:30.066 --> 00:09:34.466 or evolved, maybe at Yardi, from that standpoint, 00:09:34.466 --> 00:09:36.500 we're still safeguarding our clients data 00:09:36.500 --> 00:09:39.500 the same way we have for the last 40 plus years. 00:09:39.533 --> 00:09:42.933 And you think about the clients that might be on our platform. 00:09:42.933 --> 00:09:45.066 It's banking institutions, 00:09:45.066 --> 00:09:49.100 sovereign wealth, large REITs that might be on it. 00:09:49.100 --> 00:09:51.233 And so, you know, 00:09:51.233 --> 00:09:55.300 we're SOX 1, SOX 2 compliant artificial intelligence is part of that. 00:09:55.300 --> 00:09:56.600 And so the same sort of standards 00:09:56.600 --> 00:09:59.900 you have operating in our platform from a day to day perspective 00:09:59.900 --> 00:10:03.200 pertains to everything we're doing from an AI perspective as well. 00:10:06.000 --> 00:10:06.733 You've introduced the 00:10:06.733 --> 00:10:10.666 concept of model context protocol connectors. 00:10:10.900 --> 00:10:15.000 How does this allow a property management company to use tools like Copilot 00:10:15.000 --> 00:10:18.000 or Claude with their own data? 00:10:19.300 --> 00:10:20.066 Yeah. 00:10:20.066 --> 00:10:25.033 To me, this was kind of the holy grail of connecting to your data. 00:10:25.066 --> 00:10:30.133 I think there's been a movement across real estate companies 00:10:30.200 --> 00:10:33.933 to get their data and have access to their data. 00:10:33.933 --> 00:10:36.166 So those projects have been underway. 00:10:36.166 --> 00:10:40.033 What I don't think anyone saw coming was artificial intelligence. 00:10:40.033 --> 00:10:43.066 And now the power of having your data 00:10:43.233 --> 00:10:47.833 kind of in a single platform or accessible 00:10:47.966 --> 00:10:51.633 is really mission critical. In terms of MCP, 00:10:52.400 --> 00:10:56.266 What we're finding is, is more and more people are logging in through 00:10:56.300 --> 00:10:59.300 AI interfaces on a daily basis, whether it is 00:10:59.633 --> 00:11:03.166 Claude, ChatGPT, Gemini. 00:11:05.533 --> 00:11:09.900 Or Copilot, those are kind of the big four AI interfaces. 00:11:09.966 --> 00:11:14.600 Our goal is to give our clients accessibility 00:11:14.600 --> 00:11:18.133 to the data that they're sitting on, and allow them to connect through the same 00:11:18.200 --> 00:11:21.933 AI interfaces that they're logging into every day. 00:11:22.000 --> 00:11:24.066 The nice thing is, it's not just our data. 00:11:24.066 --> 00:11:27.933 There are connectors and MCP layers for other tools like Outlook 00:11:27.933 --> 00:11:30.333 or different things that they might be using on a daily basis. 00:11:30.333 --> 00:11:35.433 And so this idea of co-mingling data, wrapping around that large language 00:11:35.433 --> 00:11:38.433 model, having your data also governed and secure 00:11:38.433 --> 00:11:42.100 and authenticated from an end user perspective is quite powerful. 00:11:42.133 --> 00:11:46.933 And I can tell you, the outputs that our clients are seeing are meaningful. 00:11:46.933 --> 00:11:52.800 And they're able to get details around their real estate operations. 00:11:52.800 --> 00:11:57.666 And if they're looking at leasing and want to look at how renewing a lease 00:11:58.000 --> 00:12:01.933 or extending a certain tenant is going to have an impact on their NOI, 00:12:02.000 --> 00:12:03.933 they can do that on the fly 00:12:03.933 --> 00:12:08.300 through an AI interface, not having to go into our platform. 00:12:08.300 --> 00:12:10.300 And so it is resonating. 00:12:10.300 --> 00:12:13.566 And I think people want their data where they work. 00:12:13.600 --> 00:12:16.533 And so we're trying to to make that part of our roadmap as well. 00:12:17.733 --> 00:12:18.933 Yeah that's great. 00:12:18.933 --> 00:12:22.400 It reminds me of something that I always preach 00:12:22.400 --> 00:12:26.066 around the 3 Ds, which is data driven decisions. 00:12:26.066 --> 00:12:29.233 So let the data tell you what your decision should be 00:12:29.266 --> 00:12:31.133 and what direction you should be taking something. 00:12:31.133 --> 00:12:35.133 So it's awesome to hear that that you guys have really embraced in 00:12:35.133 --> 00:12:39.433 and have-- are starting to to figure out how to, to better arm 00:12:39.533 --> 00:12:42.533 the property management world with that data. 00:12:43.566 --> 00:12:47.333 Yardi is the single connected platform that gives commercial real estate 00:12:47.333 --> 00:12:52.833 owners, managers and investors real time

visibility across their entire portfolio, 00:12:52.833 --> 00:12:57.200 from leasing and accounting to tenant experience and asset performance. 00:12:57.433 --> 00:13:02.400 We've spent over 40 years building software exclusively for this industry, 00:13:02.400 --> 00:13:06.566 and today some of the world's largest CRE firms run on Yardi. 00:13:06.833 --> 00:13:11.000 Connect with us online or in person at the upcoming BOMA International Expo 00:13:11.000 --> 00:13:12.466 in Long Beach, California. 00:13:12.466 --> 00:13:17.233 And let us show you what this looks like for your property portfolio. 00:13:18.033 --> 00:13:20.600 The 2026 BOMA International Conference 00:13:20.600 --> 00:13:24.500 and Expo is where teams get stronger and problems get solved. 00:13:24.533 --> 00:13:26.533 Experience the power of connection, 00:13:26.533 --> 00:13:30.633 learning and innovation, plus the best expo in the industry. 00:13:30.666 --> 00:13:34.466 Learn more at 2026.bomaconvention.org. 00:13:35.466 --> 00:13:36.866 We look forward to seeing you 00:13:36.866 --> 00:13:39.866 this June in Long Beach, California. 00:13:40.733 --> 00:13:42.600 So okay, now let's 00:13:42.600 --> 00:13:45.800 transition into agents in the future of workflow. 00:13:45.833 --> 00:13:48.900 So how do you see the future of AI playing out 00:13:48.900 --> 00:13:51.333 and helping property managers with daily tasks? 00:13:51.333 --> 00:13:54.833 You touched on that a little bit, but maybe a little more specific. 00:13:57.033 --> 00:13:58.900 Yeah, absolutely. 00:13:58.900 --> 00:14:03.633 When you're looking at real estate companies, I think one kind of use case 00:14:03.633 --> 00:14:07.733 is residential fee managers and large residential fee managers. 00:14:07.733 --> 00:14:08.666 And if you look at the way 00:14:08.666 --> 00:14:12.666 their organizations are laid out, there's certainly segregation of duties. 00:14:12.666 --> 00:14:17.733 And they'll have people that are, you know, on site and interacting 00:14:17.733 --> 00:14:21.000 with their customers or prospective customers one on one. 00:14:21.033 --> 00:14:25.533 You'll have people that are managing AP approvals and vendor relationships or, 00:14:26.133 --> 00:14:28.866 or individuals that are doing AR. 00:14:28.866 --> 00:14:34.133 And so I think if you look at the organizations that way and understand 00:14:34.400 --> 00:14:38.200 where these agentic flows can create 00:14:38.233 --> 00:14:42.600 time savings or more efficiencies or cost savings in many cases, 00:14:42.833 --> 00:14:45.700 really think of it in terms of having agent coworkers 00:14:45.700 --> 00:14:50.233 next to each one of those individuals and making them more efficient. 00:14:50.233 --> 00:14:53.666 And so, you know, horizontally across the organization, 00:14:53.666 --> 00:14:57.866 all these different users, them doing different tasks and having agents 00:14:57.900 --> 00:15:03.100 augmenting that kind of day to day is, is, I think is a good way to look at it. 00:15:03.100 --> 00:15:06.700 And I think the way we're certainly looking at it as well, 00:15:06.800 --> 00:15:09.433 working with our clients, really understanding 00:15:09.433 --> 00:15:13.900 their kind of workflows, and then where these agentic workflows 00:15:13.900 --> 00:15:17.433 are going to be improved by this technology that's there. 00:15:18.133 --> 00:15:18.666 Yeah. 00:15:18.666 --> 00:15:23.100 You talk about agents at scale or agent coworkers. 00:15:23.100 --> 00:15:25.000 Can you paint for us-- 00:15:25.000 --> 00:15:27.233 Give us a couple examples maybe, or paint for us 00:15:27.233 --> 00:15:30.866 a little better picture of how those agents might better help 00:15:30.866 --> 00:15:34.633 with daily tasks like AP, AR, or even customer interactions? 00:15:35.900 --> 00:15:36.700 Yeah, 00:15:36.700 --> 00:15:40.400 just a little view into our payment processing. 00:15:40.433 --> 00:15:43.800 And this is for an example, 75 million invoices go through it 00:15:43.800 --> 00:15:46.300 on a-- on an annual basis. 00:15:46.300 --> 00:15:47.000 Each invoice 00:15:47.000 --> 00:15:50.933 in terms of getting approved for payment goes through about four workflow steps. 00:15:50.966 --> 00:15:54.600 And so that's about 300 million 00:15:54.600 --> 00:15:57.633 steps across our client base. 00:15:57.800 --> 00:16:01.133 Each one of those ste--, steps, excuse me, takes about two minutes. 00:16:01.133 --> 00:16:05.600 So that's about 600 million minutes, which equates to about 10 million hours 00:16:05.600 --> 00:16:08.333 that our clients spend approving invoices. 00:16:08.333 --> 00:16:10.233 So quite a bit of time. 00:16:10.233 --> 00:16:15.000 So if you can automate that process, if you can have logic that goes through 00:16:15.500 --> 00:16:19.900 the system and sees what invoices have been approved 00:16:19.900 --> 00:16:24.600 and sets up rules over the say based upon the last 12 months of processing, 00:16:24.900 --> 00:16:29.200 it is a huge benefit to our clients from a time savings perspective, 00:16:29.200 --> 00:16:33.133 not to have a human going in there and approving these invoices. 00:16:33.133 --> 00:16:37.200 It might be lower dollar amounts and gaining trust over time that this 00:16:37.200 --> 00:16:41.000 AI model is working, that the auditability of it 00:16:41.000 --> 00:16:44.066 is more than you can audit when a human approves invoices. 00:16:44.066 --> 00:16:49.833 So that's like a very kind of narrow use case of where an agentic flow 00:16:49.966 --> 00:16:53.100 can really benefit our clients, because just the sheer 00:16:53.133 --> 00:16:57.666 volume of invoices that go through real estate organizations 00:16:57.666 --> 00:17:02.066 and you approve that process and it can have a material impact. 00:17:02.500 --> 00:17:03.800 Oh, yeah. Absolutely. 00:17:03.800 --> 00:17:04.733 I mean, you can just 00:17:04.733 --> 00:17:08.466 you can just, you know, hear the the dollar signs ringing up there.

00:17:08.466 --> 00:17:11.566 And, you know, as far as the savings from a, from a time 00:17:11.566 --> 00:17:14.933 and money standpoint, I mean, that's incredible. 00:17:15.133 --> 00:17:15.800 Yeah. Yeah. 00:17:15.800 --> 00:17:20.800 And you know, on those invoices, a lot of vendors have payment terms as well. 00:17:20.800 --> 00:17:25.000 And if you look at the vendors that are servicing these real estate properties, 00:17:25.033 --> 00:17:27.900 a lot of them have cash flow issues and they're looking for early payments. 00:17:27.900 --> 00:17:31.033 So these invoices will indicate if there's, you know, there 00:17:31.033 --> 00:17:34.533 could be a discount based upon early payment. 00:17:34.566 --> 00:17:38.333 And, you know, if you're able to process those invoices, figure out 00:17:38.333 --> 00:17:42.200 which vendors have payment terms at scale. 00:17:42.333 --> 00:17:44.433 Roll that out across all of your vendors. 00:17:44.433 --> 00:17:47.500 That's a serious cost savings that you can have 00:17:47.533 --> 00:17:51.133 in terms of your vendor MRO spend. 00:17:51.200 --> 00:17:53.666 And so that's just another little example. 00:17:53.666 --> 00:17:56.666 So kind of taking that invoice and what's something else that we can 00:17:56.666 --> 00:17:58.666 potentially do with it with an agent. 00:17:58.666 --> 00:18:03.300 And so just a lot of opportunity across real estate operations. 00:18:03.933 --> 00:18:04.733 Yeah. 00:18:04.733 --> 00:18:10.300 So I say this quite often that a property manager wears so many hats 00:18:10.333 --> 00:18:12.100 and they have to rely 00:18:12.100 --> 00:18:16.666 so heavily on their vendor partners to be the experts in these areas. 00:18:16.666 --> 00:18:22.800 So for the property manager on the ground, how does an AI forward software 00:18:22.933 --> 00:18:28.033 really translate maybe to some cost or time savings, 00:18:28.033 --> 00:18:31.466 specifically in the operational side of what 00:18:31.466 --> 00:18:34.833 they are responsible for doing on a day to day basis? 00:18:35.700 --> 00:18:37.466 Yeah, and you're absolutely right. 00:18:37.466 --> 00:18:41.300 There is a ton of responsibilities and a lot has to come with, 00:18:41.333 --> 00:18:45.633 you know, the interactions that they're having with prospective residents 00:18:45.633 --> 00:18:50.933 at a property, for example, or demand from existing tenants that are there. 00:18:50.933 --> 00:18:54.800 And so if we can think about, again, those roles 00:18:54.800 --> 00:18:58.033 and kind of the work streams that they're dealing with on a daily basis. 00:18:58.033 --> 00:19:02.400 And so I think a good example of that is prospects coming into a property 00:19:02.400 --> 00:19:06.900 and interacting with a chat agent, as opposed to a live agent, 00:19:06.900 --> 00:19:10.866 and doing things like setting up a tour and automating that process 00:19:10.866 --> 00:19:13.866 and giving that resident-- prospective resident the ability 00:19:13.866

--> 00:19:16.933 to schedule a tour, give them a code to actually get in the door. 00:19:17.033 --> 00:19:17.233 You know, 00:19:17.233 --> 00:19:20.933 those sort of things that are really taking the burden from that property manager and 00:19:20.933 --> 00:19:24.866 allowing them to focus on the customers that they have already at the property 00:19:24.866 --> 00:19:28.100 and really automating the prospect workflow instead. 00:19:28.100 --> 00:19:30.533 And so that would just be like another example. 00:19:30.533 --> 00:19:35.900 But, you know, across any specific individual, I think within 00:19:35.933 --> 00:19:41.133 these real estate companies that we serve, there are benefits of rolling out AI. 00:19:41.233 --> 00:19:44.200 There are material impacts of it 00:19:44.200 --> 00:19:47.400 from a risk perspective, time savings perspective, cost perspective. 00:19:47.400 --> 00:19:50.466 And those kind of three areas are the three pillars 00:19:50.466 --> 00:19:54.400 that we kind of focus in on when we're thinking about our next kind 00:19:54.400 --> 00:19:57.633 of initiative around artificial intelligence. 00:19:59.233 --> 00:20:00.733 That's great. 00:20:00.733 --> 00:20:04.333 Only the tip of the iceberg as it relates to, I think, the power 00:20:04.333 --> 00:20:08.633 that we're going to be seeing from AI and the commercial real estate space. 00:20:08.633 --> 00:20:14.400 So a couple more questions as we look to wrap up our conversation around 00:20:14.433 --> 00:20:18.866 AI and what leaders in the industry should be thinking as far as next steps. 00:20:18.900 --> 00:20:23.066 So, you know, you're very involved in the AI sections of CRE. 00:20:23.066 --> 00:20:27.233 What would you say is the biggest misconception 00:20:27.233 --> 00:20:31.433 that leaders currently have about AI's impact on their business? 00:20:32.300 --> 00:20:38.666 Yeah, I think there is a misconception or, you know, a look at AI 00:20:38.700 --> 00:20:42.666 where it's a reduction of headcount is a potential option. 00:20:42.666 --> 00:20:46.466 And I think we like to view it as it's 00:20:46.466 --> 00:20:49.933 an opportunity for expansion of current roles. 00:20:49.933 --> 00:20:54.333 And, you know, the way we're looking at it internally, if our workers, 00:20:54.400 --> 00:20:58.233 if our Yardi employees, for example, have more capacity, 00:20:58.333 --> 00:21:01.266 we can increase the live support that we have with our clients. 00:21:01.266 --> 00:21:05.200 So improving our customer service, and I think with real estate 00:21:05.200 --> 00:21:07.233 operations, it's very similar. 00:21:07.233 --> 00:21:11.200 And I mentioned the example earlier of the property manager 00:21:11.200 --> 00:21:14.866 and that prospect kind of workload and interaction coming through. 00:21:15.066 --> 00:21:17.200 That gives them more capacity. 00:21:17.200 --> 00:21:21.733 Now they can focus on improving customer service, retaining their residents, etc.. 00:21:21.733 --> 00:21:26.266 And so I think it's just-- it opens up a lot more opportunities 00:21:26.266 --> 00:21:29.600 within your organizations. 00:21:29.600 --> 00:21:33.600 These real estate companies, organizations and the folks that are interacting 00:21:33.633 --> 00:21:38.200 with their customers with the finance group, whatever it might be. 00:21:39.300 --> 00:21:40.000 Right. 00:21:40.000 --> 00:21:41.666 Makes lot of sense. 00:21:41.666 --> 00:21:46.100 So looking at the broader landscape of property technology integration, 00:21:46.533 --> 00:21:50.033 what should companies be doing right now 00:21:50.066 --> 00:21:54.666 to prepare for their data for an AI driven 2026? 00:21:55.333 --> 00:21:58.266 Yeah, well, I think data can live in 00:21:58.266 --> 00:22:01.600 silos and data can be unstructured. 00:22:01.800 --> 00:22:05.100 And so there are those 00:22:05.300 --> 00:22:08.133 foundational views of data 00:22:08.133 --> 00:22:12.433 that I think need to be addressed for impactful AI. 00:22:12.433 --> 00:22:15.466 I would also say 00:22:16.100 --> 00:22:20.700 to not look at it, having to do everything for you out of the gate. 00:22:20.700 --> 00:22:24.466 And I think there needs to be trust that's built out 00:22:24.466 --> 00:22:26.066 around artificial intelligence. 00:22:26.066 --> 00:22:29.733 I think there needs to be wins out of the gate. 00:22:29.866 --> 00:22:32.300 Many AI projects fail as well. 00:22:32.300 --> 00:22:33.800 So start narrow. 00:22:33.800 --> 00:22:35.900 Start with something very specific. 00:22:35.900 --> 00:22:40.500 Start with a, hopefully a win, and then iterate and build upon that. 00:22:40.500 --> 00:22:42.466 And that's going to keep the C-suite 00:22:42.466 --> 00:22:45.400 wanting to continue to invest in artificial intelligence. 00:22:45.400 --> 00:22:48.633 It's going to keep the IT groups wanting, you know, giving them 00:22:48.633 --> 00:22:51.833 the ability to continue to innovate and see where AI can have an impact. 00:22:51.833 --> 00:22:54.533 But don't try to solve everything all at once. 00:22:54.533 --> 00:22:58.400 Let's take it in stride and get some wins for your organization. 00:22:59.133 --> 00:23:00.200 Great. 00:23:00.200 --> 00:23:04.266 In closing, if there's one thing you want listeners to take away 00:23:04.266 --> 00:23:08.833 about the future of AI and machine learning and CRE, what would it be? 00:23:11.900 --> 00:23:14.900 That it is ever changing and 00:23:14.900 --> 00:23:19.000 the speed at which advancements are coming are 00:23:19.666 --> 00:23:24.733 almost make it very challenging to to stay on top of it, 00:23:24.733 --> 00:23:31.133 and I think have trusted partners, have trusted consultants, and really, 00:23:31.200 --> 00:23:35.033 you know, lean on the larger organizations that are out in the front lines. 00:23:35.066 --> 00:23:40.066 You know, dealing with rolling out artificial intelligence at scale. 00:23:40.100 --> 00:23:43.066 You know, I can tell you as an organization, we're leaning 00:23:43.066 --> 00:23:46.900 on Microsoft in many ways and things that they're rolling out. 00:23:46.900 --> 00:23:50.666 And I think many of our clients are leaning on us or other software vendors. 00:23:50.666 --> 00:23:54.933 And I think, you know, I would just 00:23:56.033 --> 00:24:00.866 really encourage that just because the speed at which stuff's coming out, 00:24:00.866 --> 00:24:04.033 it's really tough for any one individual to stay on top of it. 00:24:04.066 --> 00:24:06.933 It really takes a large group. 00:24:06.933 --> 00:24:08.033 Yeah. 00:24:08.033 --> 00:24:12.700 Brian, thank you so much for sharing your insights on this very relevant topic. 00:24:12.800 --> 00:24:14.500 I've really enjoyed our conversation. 00:24:14.500 --> 00:24:19.066 If anyone wants to learn more about how Yardi is embracing AI, 00:24:19.200 --> 00:24:20.700 what's the best way 00:24:20.700 --> 00:24:24.400 that you would recommend them connecting with you or someone from your team? 00:24:24.433 --> 00:24:25.300 Yeah. No, absolutely. 00:24:25.300 --> 00:24:27.733 Yardi.com is always a great place to start. 00:24:27.733 --> 00:24:29.266 There's a lot of information 00:24:29.266 --> 00:24:32.300 on artificial intelligence and white papers on there as well. 00:24:32.400 --> 00:24:34.900 Feel free to reach out to me directly. 00:24:34.900 --> 00:24:37.933 I keep a clean inbox and try to respond to all emails 00:24:37.933 --> 00:24:39.633 that come through on a daily basis. 00:24:39.633 --> 00:24:40.400 It's part of my mission. 00:24:40.400 --> 00:24:43.700 It's really tough to do at times with the volume of emails that I receive, 00:24:43.733 --> 00:24:46.733 but that's Brian.Sutherland@yardi.com 00:24:47.000 --> 00:24:52.466 and happy to help direct you and hopefully get you to the right person 00:24:52.466 --> 00:24:55.500 within the Yardi organization, knowing that it's sometimes 00:24:55.500 --> 00:24:58.500 tough to start on Yardi.com to get there. 00:24:58.533 --> 00:25:02.833 Do you mind if I reach out to you on how to better keep a clean inbox? 00:25:02.900 --> 00:25:04.566 Hey, anytime. 00:25:05.633 --> 00:25:06.500 It's not an easy one. 00:25:06.500 --> 00:25:09.100 I got to tell you. 00:25:09.100 --> 00:25:11.533 A big thank you to our sponsor for the month, Yardi. 00:25:11.533 --> 00:25:15.300 And thank you, everyone for listening to BOMA’s Building Excellence, 00:25:15.333 --> 00:25:19.266 a CRE podcast series. Where the conversation doesn't stop 00:25:19.266 --> 00:25:22.866 and the industry keeps moving forward. Until next time, 00:25:22.866 --> 00:25:25.433 this is Alan Stein signing off.