2024 promises to be an exciting year for artificial intelligence (AI) within the insurance sector, offering new avenues for insurers to implement and capitalize on technological advancements. Last year saw a notable upswing in AI adoption within the insurance industry, and throughout 2023, a growing number of companies integrated AI into their daily operations to enhance efficiency.
Looking ahead, expect a continual focus on AI, with insurers dedicating time, money, and resources to develop and execute strategic initiatives involving AI. The shift in 2024 will include a proactive approach, as insurers leverage AI in building streamlined processes, reducing time constraints, and enhancing overall efficacy. The strategic use of AI is expected to address and overcome various common challenges faced by insurers.
For 2024, several emerging AI trends are shaping the future of the insurance industry, including:
AI’s growing prominence, not only as a technological enabler but as a critical catalytic force, is reshaping the insurance industry. It is becoming an indispensable tool for insurers to enhance their effectiveness and efficiency. The industry’s strategic focus on AI adoption, coupled with nuanced considerations for data quality and talent retention, is poised to usher in a new era of innovation and operational excellence to the insurance sector in 2024.
Stan Smith, Founder and CEO founded Gradient AI to focus on the risk management and insurance industry’s most challenging business problems. He has nearly 30 years of experience growing AI and technology organizations and has held founding or executive-level roles for multiple startup companies. This includes serving as Vice President at MatrixOne, Executive Vice President and General Manager at Agile Software, and CEO and Founder at OpenRatings. Smith also led development of patented technologies including: technology that predicts bankruptcies for small, privately held suppliers; a global database to improve supplier performance for more than 80 million companies; and, technology that combines assessments with performance data to identify opportunities for reducing inefficiencies through lean initiatives.
This article first appeared on Insurance Innovation Reporter.
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