Mortgage Data and Doc Processing

Practical Applications for Machine Learning, Today and Beyond

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…

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Mortgage Data and Doc Processing

Boiling Down the Alphabet Soup of Intelligent Technologies

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…

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Mortgage Data and Doc Processing

Four Common Sources of Doc Processing Errors and How to Overcome Them

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…

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Mortgage Data and Doc Processing

Managing the Mortgage Industry’s Massive Data Requirements

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…

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Mortgage Data and Doc Processing

The Right Tool For the Right Job

Who hasn’t experienced this situation? You go to assemble a piece of furniture armed with a dozen screwdrivers, wrenches and hammers and you discover the job requires the one Allen wrench size you do not own! What does this have to do with technology and the mortgage industry? Imagine the same situation when it comes to solving tough questions concerning…

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