It’s been an exciting three months since we launched LoanLogics IDEA™ for MSR Transfer, a new solution that automates document processing and data extraction for mortgage servicers and banks when acquiring mortgage servicing rights (MSR). Since then, we have been busy bringing on new clients to help minimize some of their operational challenges managing the receipt of data and documents…
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…
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…
Few would argue closed loan acquisition is complex. Managing risk against faster turn-times, while trying to maintain relationships with sellers surely keeps many of correspondent investors awake at night. Go too fast, increase your risk. Go too slow, stress margins and ultimately lose sellers. How can correspondent investors minimize portfolio risk while going for speed? By bringing intelligent, automated data…
