Posts that centralize around data and document processing for the mortgage industry. Includes specifics such as automated data extraction, document recognition, classification, versioning, data validation, OCR, Capture 2.0 and more.
The idiom, “it all comes out in the wash”, according to one of two Merriam Webster definitions, is used to say that the truth will be known in the future. The same can be said about what will come out in an effective loan quality management process. Pre close reviews can be thought of as “pretreatment” of loan file data…
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…
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…
