2020 Industry Trends: Innovation and Technology

2020 Industry Trends: Innovation and Technology

 

As we get further into 2020, we’ve seen several technology and innovation trends emerge that provide opportunities for the insurance industry. By understanding the direction technology is moving, we can take advantage of the advancements to find better business solutions and meet more of our customers’ needs. Take a look at these three trends we see impacting insurance in 2020.

Access to Large Amounts of Data through Various Sources

New sources of information mean we need to make sense of the data surplus and navigate for insight. Drilling in on unique data elements — such as Yelp reviews, voice sentiment and Facebook posts — can aid companies in better risk selection and price segmentation. Companies that can figure out meaningful ways to use data sources will be winners.

Unlock Data’s Potential

Our Applications Development & Enterprise Architecture Director Dave Beving says, “data is like the oil in the ground. You need tools to mine it and make it combustible.” Tools like artificial intelligence, machine learning and the Internet of Things (IoT) afford the opportunity to breed new sensors and devices that can offer other services and provide protection beyond the policy. For example, Roost sensors have the capability to give real-time feedback about security and risks, such as notifying customers of unlocked doors and water leaks.

Need to Attract New Talent

While a generation of industry experts approaches retirement, only four percent of millennials are thinking about entering the insurance field. Deloitte notes that this upcoming “exodus is expected to result in the loss of a wealth of institutional knowledge and leave nearly 400,000 unfilled job openings by the end of 2020.” We are competing for this talent with several other industriesso raising awareness of the innovation opportunities available in insurance and the digital transformation happening in the field is key to attracting young talent, especially data lovers and data scientists.

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