At the urging of their regulator, Fannie Mae and Freddie Mac are expanding their data collection on loans and appraisals using new uniform standards. "This initiative is a major step toward meeting industry requests for uniformity in appraisal and loan data," said Federal Housing Finance Agency director Edward DeMarco. "Improvements in data quality will benefit all mortgage market participants and strengthen the housing finance system." The new data standard will be phased in through a common platform and structured to use existing originator and appraiser technologies, FHFA said. Fannie and Freddie both issued statements in support of the new initiative. "We applaud FHFA on this important effort to improve appraisal and loan data quality," said Freddie chief executive Charles Haldeman. "The additional loan and appraisal data requirements, standard data definitions and a common framework for capturing these new data sets will support the mortgage industry's efforts to manage risk, reduce costs and respond more efficiently to market changes," he said.
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In 8-minute presentations, tech providers showed how they're utilizing artificial intelligence to automate entire workflows, supercharge capacity and emphasize compliance.
10h ago -
The release of Fannie Mae and Freddie Mac's internal metrics support this process, but other measures will still be needed, according to Bank of America.
11h ago -
New September funding includes a Series A round for agentic platform Kastle and an investment into Celligence's AngelAI, both with natural-language features.
11h ago -
Borrowers hold a total of $17.9 trillion in home equity in the United States, equal to $310,000 per homeowner, according to Cotality.
September 21 -
ICE dropped its post-Dec. 31 SDK access fee as migration lags. Audit plugins, get written confirmation from ICE, budget for dual-running and weigh API-native rivals.
September 21 -
The latest runup alarmed lenders but offered some new servicing opportunities unique to this market that can benefit both sides of the business.
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