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Stikkum Announces Enhanced Version of Its Mortgage Retention Alert & Automation Platform

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Platform Updates Address Mortgage Lending Industry Challenges of Customer Loyalty and Engagement, While Demonstrating the Company's Commitment to Innovation Within the Mortgage Industry. Stikkum, a leading technology innovator in the mortgage client retention space, announced the launch of its latest version of its mortgage retention alert and automation platform. The platform enhancements strengthen the way mortgage brokers and bank loan officers can reconnect, contact, and engage existing mortgage client relationships. Based on extensive market research and customer feedback, the company has expanded its platform to accelerate provider growth by addressing key challenges plaguing the industry. "Since Stikkum is designed specifically for the mortgage industry, we prioritize staying on top of off-market trends and incorporating customer insights to make dynamic solutions that help our customers achieve success," said Stikkum Managing Partner Jeff Londres.


Custom DU: A Web-Based Business User-Driven Automated Underwriting System

AI Magazine

Custom DU is an automated underwriting system that enables mortgage lenders to build their own business rules that facilitate assessing borrower eligibility for different mortgage products. Developed by Fannie Mae, Custom DU has been used since 2004 by several lenders to automate the underwriting of numerous mortgage products. Custom DU uses rule specification language techniques and a web-based, user-friendly interface for implementing business rules that represent business policy. By means of the user interface, lenders can also customize their underwriting findings reports, test the rules that they have defined, and publish changes to business rules on a real-time basis, all without any software modifications. The user interface enforces structure and consistency, enabling business users to focus on their underwriting guidelines when converting their business policy to rules.


Ai Ai Oh: Artificial Intelligence in the Mortgage Industry - Rate Zip

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This is not a blog about Old MacDonald or his farm. Instead it is about Artificial Intelligence (AI) in the mortgage industry. And we will NOT allow any sarcastic, caustic or offhand remarks about the mortgage industry needing some kind of intelligence. First of all, exactly what is artificial intelligence, at least how it is described of late? One thing it is not is fake intelligence (not related to fake news … and you might like this site that helps YOU create your own fake news … but I digress, and so soon ... sorry).


Big Data Trends in Financial Services

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NEW YORK, NY / ACCESSWIRE / February 7, 2020 / Humans are creating data at an exponential rate. In fact, 90% of the data in the world has been created in the past 2 years according to a 2015 IBM study. In the same study, it was estimated that we create 2.5 exabytes (2.5 quintillion bytes) of data every day. To put it in perspective, there are 18 zeros in a quintillion. As Big Data gets, well, bigger, it becomes even more important for executives and C-suites in financial services to stay ahead of the curve.


Roundup Of Machine Learning Forecasts And Market Estimates, 2020

#artificialintelligence

IDC predicts spending on AI systems will reach $97.9B in 2023, more than two and one-half times the ... [ ] $37.5B that will be spent in 2019. Machine learning's growing adoption in business across industries reflects how effective its algorithms, frameworks and techniques are at solving complex problems quickly. Open jobs requiring TensorFlow experience is a useful way to quantify how prevalent machine learning is becoming in business today. There are 4,134 open positions in the U.S. on LinkedIn that require TensorFlow expertise and 12,172 open positions worldwide as of today. Open jobs on LinkedIn requesting machine learning expertise in the U.S. further reflect its growing dominance in all businesses.


How Machine Learning and A.I Will Help you Acquire a Mortgage

#artificialintelligence

AI is about as big a buzzword that has ever existed in the mortgage industry, on par with automated underwriting, cloud technology, and digital mortgages. Indeed, AI is intrinsically tied to these innovations. AI tools enhance automation, can be delivered through the cloud, and would significantly improve the production of digital mortgages. At the same time, AI is also one of the least understood terms in the mortgage industry. This fact is keeping most mortgage industry participants from realizing its full benefits.


Roundup Of Machine Learning Forecasts And Market Estimates, 2020

#artificialintelligence

IDC predicts spending on AI systems will reach $97.9B in 2023, more than two and one-half times the ... [ ] $37.5B that will be spent in 2019. Machine learning's growing adoption in business across industries reflects how effective its algorithms, frameworks and techniques are at solving complex problems quickly. Open jobs requiring TensorFlow experience is a useful way to quantify how prevalent machine learning is becoming in business today. There are 4,134 open positions in the U.S. on LinkedIn that require TensorFlow expertise and 12,172 open positions worldwide as of today. Open jobs on LinkedIn requesting machine learning expertise in the U.S. further reflect its growing dominance in all businesses.


Roundup Of Machine Learning Forecasts And Market Estimates, 2020

#artificialintelligence

IDC predicts spending on AI systems will reach $97.9B in 2023, more than two and one-half times the ... [ ] $37.5B that will be spent in 2019. Machine learning's growing adoption in business across industries reflects how effective its algorithms, frameworks and techniques are at solving complex problems quickly. Open jobs requiring TensorFlow experience is a useful way to quantify how prevalent machine learning is becoming in business today. There are 4,134 open positions in the U.S. on LinkedIn that require TensorFlow expertise and 12,172 open positions worldwide as of today. Open jobs on LinkedIn requesting machine learning expertise in the U.S. further reflect its growing dominance in all businesses.


A.I. Could Be The New Play To Increase Minority Homeownership

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Artificial Intelligence and its inherent bias may not be as judgmental as previously thought, at least in the case of home loans. It appears the use of algorithms for online mortgage lending can reduce discrimination against certain groups, including minorities, according to a recent study from the National Bureau of Economic Research. This could end up becoming the main tool in closing the racial wealth gap, especially as banks start using AI for lending decisions. The Breakdown You Need to Know: The study found that in person mortgage lenders typically reject minority applicants at a rate 6% higher than those with comparable economic backgrounds. However, when the application was online and involved an algorithm to make the decision, the acceptance and rejection rates were the same.


10 Ways AI Is Going To Improve Fintech In 2020

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Bottom Line: AI & machine learning will improve Fintech in 2020 by increasing the accuracy and personalization of payment, lending, and insurance services while also helping to discover new borrower pools. Zest.ai's 2020 Predictions For AI In Credit And Lending captures the gradual improvements I've also been seeing across Fintech, especially at the tech stack level. Fintech startups, enterprise software providers, and the investors backing them believe cloud-based payments, lending, and insurance apps are must-haves to drive future growth. Combined with Internet & public cloud infrastructure and mobile apps, Fintech is evolving into a fourth platform that provides embedded financial services to any business needing to subscribe to them, as Matt Harris of Bain Capital Ventures writes in Fintech: The Fourth Platform - Part Two. Embedded Fintech has the potential to deliver $3.6 trillion in market value, according to Bain's estimates, surpassing the $3 trillion in value created by cloud and mobile platforms.