New Report: Transform Commercial Property Underwriting with AI and NLU

Find out how the industry is leveraging AI and NLU to tackle ambiguity in policy wordings, manage unstructured information and automate workflows.

In this report, “ Transform Commercial Property Underwriting with AI and NLU” Intelligent Insurer and Expert.ai discuss the technologies that can better equip you to tackle new exposures such as cyber risk, assess risk more accurately and explore new avenues of business within commercial property.

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In our exclusive report you’ll:

• Modernise policy wording: Read key lessons taken during the pandemic from industry underwriters to future-proof your business, remove ambiguity in your policy language, tackle silent cyber and cyber risk to avoid unintended exposure and potential losses

• Quantify your exposure: Incorporate technology to analyse first- and third-party exposure in your portfolio and learn how to get on top of your overall exposure using optical character recognition to determine what to disclose and the risks

• Learn how to build a single system that delivers improvements in speed, efficiency, and accuracy, combining technology, human and automated components

• Leverage machine learning, AI and NLU to better analyse policy language and improve underwriting. Hear how underwriters can utilise it to triage incoming submissions, automatically filtering out risks to bubble up the best opportunities and meet profitability targets

Download your copy now by entering your details in the form on the right >>

 For more information, contact:

Helen Raff
Head of Research
Intelligent Insurer
Direct line: +44 (0)203 301 8244
Mobile:  +44 (0) 7979 045072
Email:  hraff@newtonmedia.co.uk

 Download your report on Commercial Property Underwriting here!  

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This special report is produced by Intelligent Insurer and sponsored by expert ai. By registering to view the publication, you agree to share your contact information with both Intelligent Insurer and expert ai. Full details of our privacy policy can be found  here .

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