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How Banks Are Using AI for Document Intelligence

South State Correspondent

Banks are full of documents. Each document contains an extensive array of data. Then there are vendor contracts, employment agreements, statements of work, loan documents, financial statements, tax returns, deposit account documents, policies, and an array of similar applications.

Training 448
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Benefits of Leveraging Technology for Document Preparation

Abrigo

Technology has enabled financial institutions to operate more quickly and efficiently, creating a better experience for customers. Financial institutions are looking for a solution to increase efficiency, decrease risk, and provide complete, defensible documentation for loan types. Learn more.

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Two Perficient Colleagues Quoted in Forrester Report on Emerging Insurance Technologies

Perficient

Perficient insurance experts were interviewed for Forrester’s report, “ The Top Emerging Technologies In Insurance, 2024 ,” and discussed technologies expected to emerge in the insurance industry over the next five years, considering them now, and in the short-term, medium-term, and long-term future. Interested in learning more?

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New document AI helps mortgage lenders work smarter and faster

Accenture

In the mortgage industry, early adopters of document automation technologies were underwhelmed with the results of their investment. They have little in common with early optical character recognition (OCR), which was able to classify only very simple and structured documents. The latest advancements in AI can cut….

Industry 234
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Digital Commercial Lending Technology Case Study: Increasing Loan Volume and ROI

See how theLender, using transformative digital technology, grew their lending volume by orders of magnitude with an innovative approach to mortgage lending. Private lenders are working to keep loan costs down and offer a frictionless and affordable lending experience.

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Byte-9: Build your own in-house technology radar

Perficient

Do you have your own technology radar? Technology radar helps to give a view of your tools and technologies which are in play and assigning them to the different quadrants of the radar. Here are some tips to build your technology radar . Create documents to support your technology radar .

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BMO taps document AI for lending workflow automation

BankInovation

. — Unstructured data in documents is an automation focus for the Bank of Montreal. The $773 billion bank is employing artificial intelligence-based (AI) document handling as a chief technology, Atul Verma, BMO’s CIO of U.S. Intelligent document processing using technologies such […].

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The Lender's Guide to Automating Complex Loans

This comprehensive guide provides commercial lenders with key insights into automating small-balance, mid-market, and large-cap loan documentation with advanced technology. Check out the guide and get your custom ROI!

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Transforming Non-Performing Assets With Loan Modification Automation

Loan modification automation empowers lenders with advanced technology to handle a high volume of loans when needed most. Shifts in the market, combined with over a trillion dollars in commercial loans maturing in 2023, intensify the need for automated documentation solutions.

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The Non-QM Market Experiences a Remarkable Comeback: Check Out the Industry Guide

Commercial lending is going through an important transformation as consumers demand better solutions and technology works to address long-standing problems in the industry. Moving forward, automation and non-QM loans will play key roles in driving innovation and expanding the pool of potential borrowers.

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3 Ways to Protect Your Clients’ Personal Information

Download this guide “Secure Document Collection: 3 Ways to Protect Your Clients’ Personal Information” to learn: Which types of information are considered personally identifiable. How to leverage technology to protect your customers’ private information. The value of the personally identifiable information (PII) you collect.

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Data Science Fails: Building AI You Can Trust

The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology.