AI Risk Assessment Underwriting 
Nanonets
SEPTEMBER 27, 2024
Traditional (manual) underwriting processes often struggle to keep pace with the growing complexity of modern risk assessment, data collection, and policy management. These include customer applications, financial records, medical reports, and external risk assessments such as geographic or weather-related data.
Finovate
SEPTEMBER 23, 2024
You’ve seen the hype around Generative AI (GenAI). And perhaps you even have an AI strategy in place at your organization. But because the development of AI moves faster than any enabling technology we’ve seen in banking in the past, it’s important to think ahead to the next iteration.
The Fintech Times
JULY 31, 2024
“One of the most meaningful ways we protect our customers and their homes is to work with them to understand and mitigate risk,” said Rebecca L. “One of the most meaningful ways we protect our customers and their homes is to work with them to understand and mitigate risk,” said Rebecca L.
Nanonets
APRIL 26, 2023
Automation can have a significant impact on this process—particularly the loan underwriting process. Loan underwriting is the step before a loan is approved or denied, where a lender verifies a potential borrower’s income, assets, debt and property details in order to issue final approval for the loan.
Nanonets
DECEMBER 13, 2023
A survey by Accenture on underwriting employees found that up to 40% of underwriters’ time is spent on non-core and administrative activities. In addition, AI can help insurance firms evaluate risk with high accuracy by analyzing large volumes of data. What can be this data? This is just the tip of the iceberg.
PYMNTS
MARCH 23, 2020
But after years of finding SMBs too unprofitable to finance, lenders have to play catch-up to develop better underwriting processes for greater accuracy and efficiency. “But at the same time, they have all lacked a credible tool to conduct an assessment of these [SMBs] in an independent way.”
Fintech Review
JUNE 12, 2024
We explore the innovations in personalised insurance products, the role of IoT devices in data collection and risk assessment, and the challenges faced by established insurance companies integrating new technologies. Enhanced Risk Assessment IoT data provides insurers with a more accurate understanding of risk profiles.
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