New utilization of conversational AI (artificial intelligence) and large language models (LLM) in document indexing by Columbus, Ohio-based Razi Title is already providing new efficiency for clients. In an exclusive interview with The Title Report, Razi Title Chief Technology Officer Robert Zwink outlined these additions to his company’s platform, which were made in December. “In our experience, there’s generally always a backlog of paperwork via title plants or data warehouses or starter management systems,” he said. “It all seems to lead back to there being a stack of paper everywhere. In order to streamline that, you have to know what you’re working with. “The ability to use AI to classify documents right down to the page level can help clear out those stacks.As we clear out paperwork, there’s a consumer benefit. When you think about the wait that can happen, or the variability in closings, it’s often a stack of paperwork that you have to get through. AI can streamline operations an...
Greetings from the tech trenches! I'm the CTO of Razi Title, Inc., a tech startup pushing the envelope of what's possible in our industry. As any tech team knows, maintaining a clean and reliable testing environment is an essential aspect of our daily operations. The ability to quickly set up, tear down, and refresh our testing data is critical for ensuring our software's quality and reliability. Today, I wanted to share some tricks we've developed using PostgreSQL stored procedures to facilitate this process. In PostgreSQL, a stored procedure allows us to encapsulate and store complex SQL queries for later execution. In our case, we have created two stored procedures - `truncate_tables` and `copy_data` - that, when used in tandem, ensure we have a fresh and reliable testing environment ready for action. Truncating Tables: `truncate_tables` Our first stored procedure, `truncate_tables`, is a workhorse in our test data management toolk...