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Practical guidance on successfully implementing AI-powered document processing across core operations

Live Roundtable Discussion on August 14th at 4:00pm (EDT)

July 11, 2024
AI helps insurers accelerate underwriting and claims processing by analyzing historical data to evaluate risk. As a result, the effective use of AI can improve claims accuracy by up to 99% and increase efficiency by around 60%. That means customers get policies settled and claims approved faster, resulting in a greatly improved customer experience.” -DIGITAL INSURANCE

Are your underwriting and claims teams extracting the most valuable information from the immense quantities of documents pouring in daily?  

Last year, premium leakage resulted in $0.08 lost from every dollar of revenue generated.  

In claims, leakage accounted for $0.06 for every dollar paid out.  

This 14-point “hit” to the bottom line seriously inhibits insurers' capacity to deliver exceptional customer experiences, invest in product innovation and drive business growth.  

In today’s intensely competitive commercial insurance markets, the ability to win new business and satisfy customers largely depends on the quality and quantity of your decision data.  

Reserve your place now for “Harnessing AI Document Processing Across Underwriting & Claims” a live webinar on August 14 at 4:00 PM EDT.

In this session, a panel of leading experts will deliver use cases, success stories and practical guidance that will help power your organization through its most significant challenge: extracting and processing unstructured data held within claims and underwriting documents.

Joining us will be Alex Taylor, Global Head of Emerging Technology, QBE Ventures; Anand Rao, Distinguished Service Professor of Applied Data Science and Artificial Intelligence at Carnegie Mellon University; and Ratish Dalvi, head of AI/ML at Roots Automation.

Together, the panel will offer insights and invaluable takeaways, including:

  • Decision data challenges that lead to underwriting losses and claims overpayment.
  • Best practices for leveraging AI-powered document processing tools to augment human expertise and accelerate underwriting and claims operations.
  • What successful insurers today are doing to break through the GenAI “prototype-to-production logjam” to reduce time to value and increase return on investment.
  • What to expect from the future of AI-powered underwriting and claims.

The program will also include interactive polling and a Q&A session to help sharpen your focus on extracting maximum value from your company’s investment in Insurance Document AI.  

Whether you’re evaluating Insurance Document AI solutions or looking to refine how your business uses AI, you will not want to miss this informative session.  

Please use the form to register for the live roundtable discussion.

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

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Join our expert panel

Alex Taylor
Global Head of Emerging Technology
QBE Ventures

Alex is the Global Head of Emerging Technology of QBE Ventures, the venture investment and development arm of QBE Insurance.

Alex is an innovation and disruption specialist and futurist, helping established companies to see where the threats lie, and how they can play in the same field and with the same tools as the disrupters.

As the technology lead on a number of AI/ML investments in VC and CVC environments, Alex has lived the challenge of applying machine learning and related technologies in highly regulated environments.

LinkedIn
Anand Rao
Distinguished Service Professor of Applied Data Science and AI​
Carnegie Mellon University

Anand Rao is a Distinguished Services Professor of Applied Data Science and AI in the Heinz College of Information Systems and Public Policy at Carnegie Mellon University

Anand was previously the Global Artificial Intelligence Leader for PwC, a Partner in their Data, Analytics, and AI practice, and the Innovation lead for AI in PwC’s Products and Technology segment. Anand has accumulated over 24 years of industry and consulting experience, helping senior executives structure, solve and manage critical issues facing their organizations.

LinkedIn
Ratish Dalvi
Head of AI
Roots Automation

In his 10+ years of experience focused on computer vision, NLP and reinforcement learning, Ratish has built various AI systems across healthcare, CRM, oil & gas pipelines, powerplants and intelligent vehicles.

Before Roots Automation, Ratish led the AI team at Quartet Health, driving revenue and reducing costs through machine learning and causal inference. Ratish started his data science career at a seed-stage AI startup, Wise.io, where he co-wrote their machine learning stack from scratch, which was instrumental in its acquisition by General Electric.

LinkedIn

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Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

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