Compliance Alerts

    Machine Learning/AI

    AI in Insurance: Streamlining Underwriting Without Disruption

    Mar 14, 2025 / by AAIS posted in Technology, Machine Learning/AI, Data & Technology, Insurtech, Insurance Operations, Data/Tech, Underwriting, AI, Artificial Intelligence, OneShield

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    Artificial intelligence (AI) is reshaping the insurance industry, and successful adoption requires careful planning. Tony Villa, President of OneShield, shares key insights on how insurers can integrate AI to enhance efficiencies without disrupting operations.

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    Monitaur Joins AAIS Partner Program, Helping Members Mitigate AI Risk and Remain Compliant with Adaptable Industry Solutions

    Jan 13, 2025 / by AAIS posted in Machine Learning/AI, P&C Insurers, AI, Artificial Intelligence, Press Release, Monitaur

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     Monitaur to offer AAIS Members scalable Artificial Intelligence (AI) Governance tailored to their unique business needs.

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    Enhancing Risk Mitigation with Behavioral Intelligence

    Oct 23, 2024 / by AAIS posted in Machine Learning/AI, Data & Technology, Underwriting, Risk, AI, Artificial Intelligence, risk mitigation, Pinpoint Predictive, Behavioral Intelligence

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    Behavioral intelligence is transforming how insurers assess risk, enhance profitability, and promote fairness in underwriting. In a recent interview with AAIS Partner Pinpoint Predictive, Inc., we explored how carriers can leverage these insights at key stages of the insurance value chain—from risk selection to renewal strategies. Scott Ham, CEO of Pinpoint Predictive, Inc., explained that by incorporating unconventional technologies and behavioral insights, insurers are gaining a more complete picture of their customers, leading to smarter decisions and more equitable outcomes.

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    AI-Powered Insurance Platforms Boost Underwriting Efficiency

    Sep 11, 2024 / by Ashish Nair posted in Machine Learning/AI, Data & Technology, Insurtech, Data/Tech, Underwriting, Digitization, AI, Artificial Intelligence, insurance automation, Machine Learning, Analytics, Cogitate

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    A 2019 article focusing on insurance underwriting by McKinsey stated, “Based on our observations, anywhere from 30 to 40 percent of underwriting’s time is spent on administrative tasks, such as rekeying data or manually executing analyses.”

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    Applications of GenAI in Insurance

    Jun 19, 2024 / by AAIS posted in Technology, Machine Learning/AI, Data & Technology, Data/Tech, AI, Artificial Intelligence, BluePond.AI, GenAI

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    Generative Artificial Intelligence (GenAI) is revolutionizing industries with its ability to understand, synthesize, and create language-based content. In this interview with AAIS Partner, BluePond.AI, we explored how this leap forward is particularly impactful in the insurance sector, where manual processes and complex documentation are prevalent. Hear from Pranav Pasricha, CEO of BluePond.AI, to learn what GenAI is, its transformative applications within the insurance industry, the challenges of adopting this technology, and how carriers can effectively navigate these obstacles to harness GenAI's full potential.

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    WAHVE CEO Explains How to Solve the Talent Gap and Retain Quality Talent in a Competitive Market

    Mar 20, 2024 / by AAIS posted in Machine Learning/AI, Remote Work, WAHVE, Artificial Intelligence, talent gap, Advisory Report

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    For this Advisory Report, AAIS spoke with Sharon Emek, Ph.D., CIC, CEO of AAIS Partner, WAHVE, a unique contract staffing talent solution serving the insurance industry, as part of a two-part series on how to solve the talent crunch and retain quality talent in the insurance industry. In part two, Emek addressed what causes employees to resign, how to create loyalty in your organization, the effects of COVID and remote work expectations, managing today’s workforce, how WAHVE helps insurers cope, and more.

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    Applying AI to Solve the Talent Crunch and How to Avoid Its Pitfalls with WAHVE CEO

    Mar 13, 2024 / by AAIS posted in Machine Learning/AI, Remote Work, WAHVE, AI, Artificial Intelligence, talent gap, Advisory Report

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    For this Advisory Report, AAIS spoke with Sharon Emek, Ph.D., CIC, CEO of AAIS Partner, WAHVE, a unique contract staffing talent solution serving the insurance industry, for a two-part series on how to solve the talent crunch and retain quality talent in the insurance industry. In part one, Emek addressed the state of the talent gap in the insurance industry, searching for candidates with AI, advice for hiring managers, and more. 

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    Leveraging Today's Underwriting Technologies to Modernize Homeowners Insurance with Chrp Technologies

    Dec 18, 2023 / by AAIS posted in Personal Lines, Technology, Machine Learning/AI, Data & Technology, Insurtech, Homeowners, AAIS Webinar Series, Data/Tech, Underwriting, Artificial Intelligence, CHRP Technologies

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    As part of the AAIS Webinar Series, AAIS hosted a virtual discussion on December 7, 2023, featuring Chrp Technologies. Moderated by AAIS President & CEO Werner Kruck, the session explored the state of today’s home insurance market as well as the challenges and opportunities that lie ahead. Featured guest speakers Chin Ma, President of Chrp Technologies, and Brandi Wyrick, AVP of Experience at Orion180, reviewed how new and emerging technologies like Chrp can improve underwriting results and operational efficiencies. They also touched upon the role of artificial intelligence (AI) across the insurance space and how companies can leverage new capabilities to improve the customer experience.

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    Artificial Intelligence is Modernizing Regulatory Compliance

    Jan 18, 2022 / by Robin Westcott posted in openIDL, Community, Machine Learning/AI, Issues & Trends, Data & Technology, Tech News, Regulatory/Compliance, Legislation & Regulation, AAIS News & Views, AAIS Insights, Data/Tech, Connecticut

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    Risks are continually evolving and emerging, requiring updates to insurance policies in order for carriers to keep pace with market need. Whether you’re a regulator or an underwriter, reviewing new policy language in a timely fashion can be a challenge, and can negatively impact speed-to-market.

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