Webinar: Harnessing AI Document Processing Across Underwriting & Claims
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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.
In this session, a panel of leading experts delivered 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.
Speaking 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.
Whether you’re evaluating Insurance Document AI solutions or looking to refine how your business uses AI, you will want to watch the recording of this informative session.
Please use the form to watch the on-demand roundtable discussion.
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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.
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.
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.
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.
