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Science, applied: 3 ways AI and ML are advancing the insurance industry

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Register now! This article was written by Kea Goins, a Marketing Coordinator at Valkyrie. From maximizing advertisement relevance to customizing user experience, the benefits of applied sciences and advanced data analytics have become more apparent as industries adopt data-driven approaches to create…

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Register now!


This article was written by Kea Goins, a Marketing Coordinator at Valkyrie.

From maximizing advertisement relevance to customizing user experience, the benefits of applied sciences and advanced data analytics have become more apparent as industries adopt data-driven approaches to create new competitive advantages. In this article, we focus on companies in the insurance industry that are implementing applications of data science to deliver efficient, risk-adjusted solutions by detecting fraudulent activity and providing a personalized customer experience. The best place to start is by looking at some of the technological trends being used by insurance companies today.

Growing Trends in the Insurance Industry

Customer Experience & Coverage Personalization

With access to a customer’s behavioral, geographic, social, and account data, AI-enabled chatbots can provide seamless, automated, and personalized buying experiences. These bots are quickly becoming the industry standard. According to a 2020 MIT Technology Review survey of 1,004 business leaders, customer service (via chatbots) is the leading application of AI being deployed today. The study shows that 73% of respondents indicated that by 2022, it will still be the leading use of AI in companies.

Behavioral-Based Policy Pricing

In the auto insurance industry, we are seeing ubiquitous IoT sensors provide personalized data to pricing platforms, allowing safer drivers to be rewarded by paying less for auto insurance (known as usage-based insurance). These techniques have expanded beyond auto insurance, and we are now seeing health & dental insurance companies also use IoT sensors that provide people who maintain a healthier lifestyle with a lower rate for insurance. A recent article highlighted dental insurance company Beam Digital for their use of IoT technologies. This company provides a smart toothbrush to every customer and monitors their oral health, while using this information to support a dental insurance plan. Beam sends the customer notices and encouragement if their brushing habits are falling short of the required standard. The company hopes this will result in improved dental hygiene and reduced premiums.

Faster, Customized Claims Settlement

Online interfaces and computer-vision enabled virtual claims adjusters now make it streamlined and more efficient to settle and pay claims following an accident, while simultaneously decreasing the likelihood of fraud. Customers are now also able to select their preferred provider’s premiums that will be used to pay their claims (known as peer-to-peer/P2P insurance). Data science applications have enabled the required higher-fidelity predictions based on events, in real-time, using large datasets rather than samples to make the best guess.

Industry Leaders That Are Adopting AI/ML

With advancements in AI/ML applications, more insurance companies are now actively leveraging preexisting data to increase the depth of understanding they have of their customers. Companies like State Farm, Liberty Mutual, Allstate, and Progressive are among a few of the industry leaders that are adopting AI and ML applications into their business model.

Allstate Insurance

Greg Firestone, Vice President of Data Science at Allstate Insurance, explained in a recent interview why his company began leveraging anti-fraud technologies to mitigate fraudulent claims. “It’s very hard to measure sometimes, but it’s happening,” Firestone said. “The best prevention is really being aggressive: using AI and data to find fraud. Data is your friend in this regard. Fraud is a problem that impacts all insurance companies, and we need to focus on it and make sure the fraudsters realize that we’re not easy marks.”

The company leverages an AI-based solution to monitor and flag suspicious claims, however, they understand that keeping an eye on future fraud trends will still require a human touch. Large insurance companies process thousands of claims daily, making it impossible for a team of human analysts to thoroughly review each instance for fraudulent activity. Thus, many insurance companies are leveraging advanced AI systems to automate this process, which allows them to reserve their teams for claims the AI-based solution has flagged as suspicious.

Liberty Mutual Insurance

Last year, in an official press release, Liberty Mutual announced a strategic relationship with Groundspeed Analytics, Inc. to cut the time to extract submission data by 50% through the use of Artificial Intelligence (AI). “Properly evaluating customer submission documents is one of the most critical aspects of the underwriting process, and current methods don’t take advantage of the value locked in these documents.” By leveraging the available data in submission documents in a “data first” approach, Groundspeed is helping Liberty Mutual to make better risk selections, improve time-to-quote,

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