Faced with fierce competitive threats and unprecedented challenges, incumbent insurers need to double down on AI use

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Over the past few years, insurers have lagged other sectors in implementing AI, leaving a gap for more tech-savvy firms to swoop in and disrupt the space: This year, US-based insurtech Lemonade—which uses AI to provide quotes, handle claims, and answer customer questions—became the first insurtech to top the home insurance customer satisfaction ranking in J.D. Power's annual US Home Insurance Study.

Meanwhile, consumers are twice as likely to buy insurance from big tech firms as they were four years ago, reshaping the value chain away from incumbents. If this wasn't enough of a wake-up call, the pandemic has pushed customers to increasingly use digital channels, putting further pressure on insurers to improve their AI-powered services.

Machine Learning is by far the most commonly referenced technology by insurers when talking about their use of AI. It focuses on the development of computer programs that can learn from the data they have access to, identify patterns, and make faster decisions than...

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