Hidden underwriting opportunities that can supercharge your business

Hidden underwriting opportunities that can supercharge your business
The inseparable duo of underwriting and pricing has just found its third partner - automation. In a Research and Market report, The automated machine learning (AutoML) industry was valued at $346.2 million in 2020. The industry is estimated to grow by 4283% to $15 billion in ten years. Yet, a 2020 Accenture report shows that 85% of customers are not satisfied with the speed of the underwriting process. The implementation and evolution of AutoML can speed up that process and significantly increase the customer experience and gain you customers. But where is this technology headed? What are the barriers? And how can we best ride the wave of an evolving automation landscape?
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OTHER ON-DEMAND WEBINARS

Market Regulation Insurance Department Perspective

PAMIC

As an organization, PAMIC is focused on continued positive relations with the Pennsylvania Insurance Department. In order to facilitate open communication, we hosted an interview with Christopher Monahan, Deputy Insurance Commissioner for the Office of Market Regulation. Christopher discussed in detail the regulations impacting our industry.
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Mitigating the Challenges and Expense of FNOL

FNOL is a critical moment that can make or break a successful claims management experience. You may not get another chance to interact with the reporting party, so make the most of it!
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The Value of Health Insurance Benefits to Recruit and Retain Employees

ESC

87% of temps say medical coverage is the most important benefit to them when looking for a job. In this webinar Essential StaffCARE will be talking about the impact of the ACA individual mandate repeal. These topics will be covered in the discussion: Brief ACA update. Individual mandate repeal as of January 1, 2019. What will employers do when there is still an employer mandate? How will ACA reporting be impacted? Explore the current labor market.
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Data science in insurance: leveraging privacy-preserving synthetic data

statice

AI capabilities are rapidly maturing, and they represent a competitive advantage for insurers. Data science departments are tasked with developing AI-driven improvements for current solutions and processes.
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