It’s been nearly twelve years since the first iPhone® app was released. With a reported 2.2 million available apps and 130 billion downloads from the Apple® App Store* it’s safe to say that the phrase “There’s an app for that!” has taken a strong hold in our collective vernacular. The original use case of mobile apps, according to Wikipedia, was…
The benefits of leveraging artificial intelligence and machine learning in mortgage are expansive. We’ve discussed it in a number of LoanLogics blog posts throughout 2019. To summarize, they help today’s originators analyze large data sets, automate decisioning and eliminate a wide range of manual tasks. Perhaps most critical is how they can help originators streamline document processing to lower manufacturing…
Back in August, LoanLogics announced it was the technology provider behind the Freddie Automated Servicing Transfer (FASTSM) tool, helping Freddie Mac streamline its Cash-Released XChangeSM program. LoanLogics is also set to provide technology enhancements in support of Freddie Mac’s Co-Issue XChangeSM with the same technology. This was a proud moment for the company, given all the hard work our teams…
Welcome back to the final installment of the series. Read on to see insights to other Millennials’ experiences. As frustrating as the actual mortgage process was, due to all the complexity, the back and forth with the loan processor and the loan officer, and attempting to get all the explanations of everything that was unfamiliar to me, I’ve been in…
A lot has been said about machine learning and artificial intelligence (AI) regarding the sweet rewards they will bring to the mortgage industry but understanding the potential can be tricky to navigate. Before we get into dispelling the tricks or treats of some popular urban legends, here are a few quick definitions of AI and machine learning for context. AI…
Today’s data and doc processing solutions have evolved beyond simplistic OCR solutions to include new machine learning and searching technologies. These new, state of the art technologies, significantly expand the number of documents that can be classified and read, as well as greatly increase the number of data elements that can be extracted using automation. Machine learning, sophisticated data extraction…
