CoreLogic has announced an extended relationship with Google Cloud to support the launch of its new CoreLogic Discovery Platform. Built on Google Cloud's infrastructure, Discovery Platform provides a comprehensive property analytics environment and cloud-based data exchange for businesses across multiple sectors. CoreLogic launched Discovery Platform in June earlier this year, stating that the new product would enable businesses--including property and real estate technology (PropTech/ReTech), mortgage lenders, marketers, and insurance firms--to discover, integrate, analyse, and model property insights to make critical business decisions faster. The multi-year relationship between CoreLogic and Google Cloud enables the development of a scalable platform built with several Google Cloud services including Dataproc, BigQuery, Anthos and Cloud Run to manage the data science workloads for predictive and prescriptive analytics. BigQuery is the petabyte-scale backend for the platform, enabling comprehensive property data views built from a wide array of CoreLogic and third-party data sets.

Data and artificial intelligence (AI) are playing a key role in transforming home loan originations. And the big winner could be the customer.

The Fair Housing Act ("FHA"), enacted more than fifty years ago, prohibits discriminatory practices in housing. The FHA makes it illegal to "make unavailable or deny . . . In many jurisdictions, it is also illegal to discriminate on the basis of income (e.g. But recent technological advancements have raised new questions about the statute's reach--both in terms of which entities may be liable for violating the FHA and what new technologies may run afoul of the statute's prohibitions. For example, companies that use, facilitate, or support digital advertising need to be particularly cognizant of the FHA's purview.

Machine learning is changing the analytics picture at CoreLogic Inc. -- literally. CoreLogic provides information on real estate, mortgages and consumer credit to lenders, insurers and government agencies. The info it collects includes "millions and millions and millions" of photos, says Robin Gordon, the Irvine, Calif., company's chief data officer. And now, it's using machine learning technology to analyze the images and generate additional data about properties. "We can start to extract data we could never extract before," Gordon says.