Q Yes, and we're here at Highland Community Live. We've spoken with Jitesh and Mike. How exactly does Highland help you make sense of the unstructured data?
A Well, I'll tell you that. Two years back, I was with Highland on a keynote with Jitesh when Jitesh joined the company, Two years later, I'm here again. At that time, my biggest focus was we had information, like I said, right? 80 to 90% of our information are on unstructured data, and then structured data is what we use primarily for a lot of things. Now, when you look into that, my goal was to bring all that unstructured data into one common document repository or enterprise content repository. Highland. We migrated out of different companies. I won't name the logos of the different companies. But we moved all of them, so all of our information, our policy documents, our underwriting documents, our claims documents, our medical records, you name it, all of us are sitting into a technology like this, which is enterprise content management. Heavily protected, heavily secured, governed, et cetera, et cetera. But that was becoming more like a document repository for which we were attaching it to the file, claim files or document files or underwriting files. What are we doing now? Is now that I have that information, I'm extracting insights and intelligence out of this unstructured data, trigger a set of workflow. The example I told you, remind your customers to get those documents in a timely fashion. Remind your customers to send an email or send a correspondence automatically to…
AI assessment note: “Highland is coming in as a platform to extract that insights and signals”