The current discussion of digital transformation generally focuses on how technology will allow insurance companies to move faster, improve processes and make better use of data in their underwriting workflows. While that is all true, there is far less focus on what the role of humans will be. (Alexander Limbach/Shutterstock) The current discussion of digital transformation generally focuses on how technology will allow insurance companies to move faster, improve processes and make better use of data in their underwriting workflows. While that is all true, there is far less focus on what the role of humans will be. (Alexander Limbach/Shutterstock)

There are volumes of data assets to sort through when analyzing the seemingly random and complex risks faced by insurance companies. It is an underwriter’s job to see and comprehend information that is hidden in this mass of information, sometimes well below the surface. With the available data continuing to expand and sourcing options increasing, the underwriter’s ability to effectively evaluate risk, set prices and construct a portfolio of business optimized to a firm’s goals has never been more challenging.

But a new and rebalanced partnership between underwriters and the data and machines they leverage has the potential to significantly ease them by removing the barriers to incorporating new information into the risk decision and pricing process and ultimately enabling underwriters to focus on what they do best — making strategic, informed decisions.

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