Let’s take Blend Intelligence’s predictive modeling as an example of real change that technology can have on loan origination. A look at how Blend Intelligence can be applied To do that, it relies on cutting-edge technologies and a novel approach to the mortgage origination process.
The engine gives consumers a more real-time experience while lowering processing costs for lenders. It’s designed to learn from how lenders interact with our platform to continuously improve its performance over time. What is Blend Intelligence?īlend Intelligence is a predictive engine comprised of machine learning, as well as simple and advanced rules that deliver automation. Today, we’re excited to announce a new leap forward available to lenders everywhere: Blend Intelligence. So far, our product has helped our 100+ customers take concrete steps toward a better future by making their operations more efficient, secure, and delightful. Much of how we have gone about doing that stems from our fundamental belief that with the right data, engineering, and design - as well as insights and guidance from customers and industry partners - we can make lending a seamless experience for everyone involved. In this talk, Maslan explores the trade-offs between edge and cloud processing for systems that extract meaning from video, and explains how the two approaches can be combined to create big opportunities.For the past six years, we’ve been working to improve the mortgage process for lenders and borrowers alike.
But the cloud offers unique, valuable capabilities, such as aggregating information from multiple cameras, applying state-of-the-art algorithms, and providing users with access to their data anywhere, any time.Ĭamio uses a combination of machine learning at the edge (in network cameras and network video recorders) and in the cloud to generate alerts, highlight the most significant events captured by a camera, and to let users search for events of interest. This argues for putting intelligence in edge devices. Network cameras and other edge devices are collecting ever-more video – far more than can be economically transported to the cloud. Carter Maslan, CEO of Camio, presents the "Blending Cloud and Edge Machine Learning to Deliver Real-time Video Monitoring" tutorial at the May 2017 Embedded Vision Summit.
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