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…
LoanLogics is often asked for specific examples of where machine learning can make impact along the mortgage value chain and of course, as a regtech provider, we have found practical application in loan quality management. Early application of machine learning technologies are being used for the creation of verified, validated data (or what we’ve termed “purified data”), that powers…
AI, ML, ADR, ADE, OCR.…with all these acronyms even the most tech savvy lenders need a little help boiling down the alphabet soup of technologies swirling around the mortgage industry these days. Before you can truly understand how these intelligent solutions are solving the challenges in mortgage data and document processing, it’s important to understand the basics. As such, we’ve…
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…
The data requirements needed to manufacture and decision a loan seem to be ever growing, as do regulator and investor expectations. Data is distributed across multiple document types, the loan origination system and a multitude of other sources. All this information needs to be verified and validated to ultimately come to the source of truth and support confidence in loan…
