š AI is not just knocking on the insurance door ā itās kicking it wide open!Ā Ā Simon Ruelens, Vice President of Cloud Practice, Europe, NTT DATA dives into how #AI is turbocharging #insurance by boosting human intelligence and modernizing legacy systems in our latest blogpost. Staying competitive against agile insurtechs means embracing this AI-powered evolution, not ducking it.Ā Ā š Read the full article for more insights on the Qorus - NTT DATA Innovation in Insurance Awards 2025 in Warsaw: https://lnkd.in/gfe_mWjE It's written by Simon and Bruno Abril, Global Head of Insurance, NTT DATA, Inc.Ā Ā š” Whatās the secret sauce? Itās about blending AI with human expertise to create smarter, faster, and more customer-centric insurance solutions.Ā Ā ā Enhanced decision-makingĀ Ā Ā Ā ā Streamlined operationsĀ Ā Ā Ā ā Future-proofed business modelsĀ Ā Ā Ā AI disruption is reshaping insurance, catch all the insights here:Ā š https://lnkd.in/gTCAuJjpĀ Ā #ArtificialIntelligence #InsuranceTransformation #Innovation #NTTDATAInsurance #InsuretechĀ NTT DATA Europe & Latam
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š **Building the Future of Insurance AI: The Unseen Journey** š As we migrate our Sage Agentic Landscape from AWS to Azure, we're reminded that true AI transformation in insurance goes beyond the buzzwords. Itās not just about flashy features; itās about the gritty, behind-the-scenes work that ensures our systems run seamlessly. š **The Hidden Reality:** - Migration isn't just lifting and shifting; it's a meticulous process where almost everything can break. - Operational excellence is crucialāreliability trumps everything, because in insurance, failures aren't an option. At MapleSage, we combine sophisticated engineering with maritime-grade reliability to create AI systems that actually work in production. Our approach focuses on orchestration, integration, and operational disciplineāensuring our intelligent agents thrive in real-world workflows. š” **Key Takeaways for Insurance Leaders:** 1. Budget for hidden integration costs. 2. Invest in building a robust orchestration layer. 3. Embrace a culture of reliability and ownership. Join us on this transformative journey to reshape the insurance landscape with operational excellence at its core. š #InsuranceAI #OperationalExcellence #MapleSageThe Real Cost and Challenges of Building AI for Insurance - Building AI for insurance requires operational discipline and reliability. Learn the real challenges and lessons from a founder's perspective. https://hubs.ly/Q03JTq5B0
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Artificial Intelligence (AI) is revolutionizing the way P&C insurance companies operate, offering improved customer experiences, increased automation, enhanced security, and early views of how insurers can succeed with the proper planning. In this Insurance Post article, Guidewire's Charles Clarke argues that what will stand insurers in good stead to accelerate AI-related change will be how much authority their chief data officer holds. He said: āThe success of any AI investment depends on the quality of data it consumes. CDOs are pivotal to successful AI adoption strategies and itās notable the number of CDOs directly reporting to the CEO has increased from close to zero a decade ago to the majority of insurance carriers now having a CDO on their leadership team.ā Read the full article here: https://bit.ly/4jW3pMa #Guidewire #InsuranceInnovation #GenerativeAI #AIinInsurance #Insurtech #InsuranceTransformation #DigitalInsurance
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Insurance is rapidly embracing automation and leading the AI movement, resulting in a significant shift towards reduced face-to-face interactions and increased reliance on technology and automation systems. This transition is driving a notable decrease in claims turnover times, enabling estimates to be finalized within days and facilitating same-day payments in some instances. Moreover, streamlined processes are being established with minimal human involvement. While AI and technology play pivotal roles, it remains crucial for insurers to prioritize meaningful, empathetic, and proactive human interactions. Despite technological advancements, the essence of personal connections remains paramount in the insurance industry. Building and nurturing relationships through personal interactions are as vital as processing payments efficiently. In this evolving landscape, the human touch remains indispensable in claims processing. I believe in the coming technological evolution, Insurance companies will find that they all have similarly capable systems, but may begin to lack in the quality of the human touch if they are not continually aware of the fine line being walked in todays advancements. #Insurance #Automation #AI #Technology #ClaimsProcessing #CustomerInteraction
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š¤ AI in insurance is full of potentialābut scaling remains the toughest nut to crack. Only 7% of insurance companies have successfully brought their AI initiatives to scale, according to Boston Consulting Group (BCG). At the same time, insurance actually leads in AI adoption š The paradox shows just how much value is still locked behind integration hurdles, data silos, and organizational change. š Curious whatās really holding insurers back? Check out the full post. #Insurance #AI #Transformation #AgenticAI #UpQuAI
šØ Only 7% of insurance companies have successfully brought their AI initiatives to scale according to a study conducted by Boston Consulting Group (BCG). Nevertheless, Insurance leads in AI Adoption š š Key takeaways from the report: - 2/3 of insurers remain stuck in pilot mode. - The biggest blockers arenāt techātheyāre people, organization, and process (70%). - Leaders who invest strategically see 30%+ productivity gains and position themselves as industry frontrunners. š” Success requires: 1ļøā£ Thinking bigger & aligning AI with strategic priorities. 2ļøā£ Redesigning end-to-end workflows, not just running isolated pilots. 3ļøā£ Fostering a culture of accountability, upskilling, and cross-functional delivery. š What do you think is the biggest barrier holding corporates back from scaling AIāand how can they overcome it? š Link in the comments. #AI #Automation #Insurance #Transformation #UpQuAI
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How does insurance compare to other industries in terms of AI adoption? Is insurance ahead of the curve or lagging behind? Make a guess in the comments below, and scroll down this post. š The Boston Consulting Group recently published a study analyzing where insurance players stand with artificial intelligence. It starts with a comparison across industries. And guess what ? The insurance industry is rather advanced in terms of AI adoption. It's not the first one but definitely leads the wave. And it is even ahead of where banks stand ! Then, the BCG details the level of maturity of AI projects several industries have initiated. Overall, they are mainly at the PoC phase but several kind of players lead the wave with embracing artificial intelligence at scale. Interestingly, the insurance industry is both leading in terms of players already exploring the benefits of AI and lagging behind in terms of projects currently live at scale... The study also lists challenges incumbents face towards a broader adoption and deeper integration. The first one is related to the technology itself, with a mix of lack of monitoring capacities and old-fashion IT systems. Then come HR challenges, including processes. The BCG modeled the expected impact of artificial intelligence on the workforce, which is summarized in the chart below. Ultimately, the BCG shares best practices insurance players should consider to adopt AI at a larger scale. #insurance #insurtech #artificialintelligence
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"Insurance is in the AI era" is the latest and greatest from the IBM Institute for Business Value (IBV). š Some key highlights š š” AI is transforming insurance operations. Insurers primarily leverage AI for operational efficiency, with 40% of their AI spend allocated to enhancing operational effectiveness and reducing costs. Agentic AI will further strengthen this trend, with 77% of agentic AI use cases expected to be in claims over the next year. ā” Customer expectations may temper AI-driven revenue growth. AI has significant potential to drive revenue growth, with 75% of surveyed executives believing AI will drive improvements in personalization and customer experience. However, the insurance industry must align AI-infused applications with customer expectations to maintain trust. š Don't ignore the elephants in the room: technical debt and skills gaps. To successfully implement AI systems, insurance companies need to address technical debt and skills gaps. More than 4 in 10 insurers say they do not have adequate internal skills and expertise, highlighting the need for investment in skills development to modernize legacy systems. The winners wonāt be the ones who ātry AIāā theyāll be the ones who transform end-to-end. Link to the study below https://lnkd.in/gqByG_Va #IBM #IBMThoughtLeadership Glenn Finch Girish Ratnam
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The insurance industry is undergoing one of its biggest transformations powered by digitalization and artificial intelligence. The focus is no longer just on paying claims, but on predicting risks and providing proactive protection. Key changes shaping the market: ā AI risk models deliver smarter assessments and dynamic premiums. ā Automation speeds up processes and increases security through fraud detection. ā Embedded insurance brings insurance services directly into everyday products and services, making coverage seamless and available exactly when customers need it. ā Personalization is becoming the standard ā faster, clearer, and more flexible services. This shift sets new standards and expectations: insurance that is intuitive, efficient, and part of a broader digital ecosystem. At TIAC, we focus on R&D research to better understand and develop solutions in the field of embedded insurance. #insurance #embeddedinsurance #automation #ai
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AI is reshaping how insurance companies communicate with customers, bringing efficiency and personalization to the forefront: 1. **Platform Evolution:** Transitioning from traditional tools to modern platforms like Quadient Inspire is expedited by AI, streamlining processes and minimizing risks. 2. **Simplified Documentation:** AI transforms complex policy papers and claims letters into concise summaries, enhancing transparency and fostering trust. 3. **Tailored Interactions:** AI enables custom communications based on individual policyholders' preferences, ensuring personalized updates for renewals and claims. 4. **Efficient Claims Handling:** AI-powered chatbots swiftly generate and send claim updates, reducing response times and easing pressure on call centers. 5. **Proactive Engagement:** By analyzing communication patterns, AI predicts future interactions, allowing insurers to address issues before they arise. Embrace AI to boost operational efficiency, cut costs, and enhance customer satisfaction in the insurance sector. Insurance professionals, how do you foresee AI shaping your communication strategies? Share your thoughts on the evolving landscape of AI in insurance. #Insurance #AI #CCM #CustomerExperience #DigitalTransformation
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The future of insurance isnāt just innovative. Itās intelligent. Research from the IBM Institute for Business Value highlights how AI is redefining the insurance industry, from customer engagement to operational agility. Insurance leaders are unlocking new opportunities to: ā Automate claims and underwriting ā Personalize customer experiences ā Address technical debt with AI-driven modernization Want to see how AI can transform your business?Ā Explore the full report:Ā https://ibm.biz/insuaiera IBM Institute for Business Value #ibmconsulting #insurance #AIininsurance
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Is your insurance company treating AI like a side project? Big mistake. The gap between AI leaders and others in insurance is widening every day. While some tinker with incremental improvements, disruptors are completely reimagining the insurance experience. From claims to underwriting, leading insurers are leaning into AI that doesnāt just assistāit acts. By 2027, 77% of insurers expect to use agentic AI in claims processing, revolutionizing efficiency and decision-making. Our latest report from the IBM Institute for Business Value shares how AI is reshaping the insurance landscape by: -Ā Automating claims and underwriting -Ā Personalizing customer experiences -Ā Addressing tech debt with AI-driven modernization For the latest in our monthly series on how AI in impacting industry, read our "Insurance in the AI Era" report to see how your organization compares: https://lnkd.in/gMxjtS-x. And check out the case study with INAIL, Istituto Nazionale Assicurazione contro gli Infortuni sul Lavoro #InsuranceInnovation #AITransformation #InsurTech #DigitalInsurance Don Hummer Jr, Girish Ratnam, David C., Dr. Moez Mnif, Yoshiharu Wakumoto, Sugandhi Makhija, Juan Francisco Herrera, Robert Mercorella, Mark McLaughlin, Shanker Ramamurthy, Lula Mohanty, James J. Kavanaugh, Dave McCann, Mohamad Ali, Neil Dhar, Rahul Kalia, Christine Rupp, Andy Baldwin, David Ellis, Anthony Marshall, Liam Cleaver, Cindy Anderson
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