We struggled with artificial intelligence until we found Yardi Data Connect. That allowed us to have much better data visualizations and also to power our workflows. I'm Justin Segal. I'm the president of Boxer Property. We have a portfolio of office retail, hotel, and other properties, around the US based in Houston. And we've been a proud Yardi customer for over 25 years. And, you know, this represents, kind of the bleeding edge of what we're doing with the product these days. And I'm excited to share. Over the years, we added a bunch of operational technology and kind of centralized our data, and we connected Yardi to our central data. Eventually, our building systems data came in and we started desiring to have better visualizations and also to power workflows. We were looking at things that were happening outside of Yardi and the many tools that were out there and wondering how we could connect. And what we wound up doing was solving that problem with a suite of approaches that started with Yardi Data Connect. So, eventually we found Power BI. We connected Power BI to our visualizations, and it was kind of better. We also found that we could pull in Azure Machine Learning, which is this really easy to use toolset that's already, integrated into, the Power BI platform. What Azure Machine Learning does is it kind of handles this whole ML Ops deployment flow. Everything from dealing with the data, managing the compute kind of training the models and deploying them into your infrastructure. We're running models now to predict customer default, and customer expansion. You know, we're running models to predict occupancy based on leasing trends. We're combining, our operational and financial data. What it's doing is allowing us to chew through a huge number of submissions to find the things that are interesting for us, and drawing our attention to those things based on our, past performance and our financial models and so forth. You don't really have to even have an expert to determine what's important. The system will train itself and tell you whether it maps to known outcomes. The AI stuff has really jumped to the forefront of how we understand the value that we can derive from the product, and we're really excited about it.