La aplicación de estrategias de hiperpersonalización basadas en inteligencia artificial (IA) puede aumentar entre un 2% y 7,5% la atracción de nuevos clientes en empresas de diversas industrias. Así se demuestra mediante los resultados obtenidos con la aplicación de esta estrategia en diversos clientes de SAS. Este impacto se debe
Rapid advancements in artificial intelligence (AI) technologies, such as large language models (LLMs), have triggered radical transformation in insurance. While they have already reshaped how AI is used, LLMs alone are not sufficient for real-world decisioning. Some of the standard ways insurers have used LLM-based chatbots in the past are
What insurance companies need to know about the Fundamental Rights Impact Assessment (FRIA) The EU Artificial Intelligence Act (EU AI Act) is ushering in a new era of accountability and transparency for organizations deploying AI systems – particularly in high-impact sectors like insurance. The Fundamental Rights Impact Assessment (FRIA) is
Every organization faces the challenge of improving customer service and delivering experiences that delight customers. Swedbank Insurance, Get’mo and OREA, three teams participating in the SAS Hackathon, are no exception. Each encountered unique obstacles in delivering better experiences for their customers. With creative solutions tailored to their specific needs, these
A inteligência artificial (IA), em especial a generativa, tem sido cada vez mais usada por fraudadores para criar conteúdo falso, como deepfakes, para se passar por outras pessoas em esquemas fraudulentos. Criminosos estão desenvolvendo novos métodos e adaptando suas táticas de forma ágil – utilizando, inclusive, automação para perpetrar ataques em
AI is reshaping insurance – from streamlining underwriting and fraud detection to fighting climate risk.
보험업계에서는 IFRS17 도입 이후, 보험 부채 가치 변동성의 증가와 자산-부채 간 불일치 문제 등이 심화되고 있습니다. 이에 똑똑한 자산-부채 관리(ALM : Asset Liability Management) 시스템의 도입 필요성이 증가하고 있는데요, SAS코리아는 최근 ‘보험업계를 위한 SAS ALM 인더스트리 카페 세미나’를 개최하고, 효과적인 자산 부채 관리를 위한 최적의 솔루션인 ‘SAS ALM’을 상세히 소개해
SAS의 업계 전문가는 보험업계의 불확실성 속에서도 새로운 기술과 신뢰가 보험사를 주도할 것으로 전망합니다. 보험사들이 기후 변화의 영향으로 조심스러운 행보를 보이고 있는 가운데, 차세대 보험 전문가들이 업계를 이끌어 나갈 것으로 예측됩니다. SAS 전문가들은 2025년이 현대 보험사의 해가 될 것이며, 혁신을 추진하는 보험사들이 업계 중점 과제들에 과감히 맞서며 향상된 속도와 생산성, 신뢰할
Learn how insurers can combat AI-driven fraud, secure data and build trust in an increasingly digital world.
Failure accompanies all technological breakthroughs – the wheel, manned flight, the internet. AI is no exception. I know insurance companies are using AI – SAS research confirms it. 90% of insurers have budgeted for GenAI in 2025. I also know that only 1 in 10 insurers (11%) are fully “AI-prepared.”
AI is revolutionizing insurance by tackling talent gaps, boosting efficiency and driving innovation.
La evolución tecnológica es imparable, y en el mundo de la analítica de datos, SAS ha liderado este cambio con SAS Viya 4. Esta plataforma supone un avance significativo en comparación con sus predecesores, SAS 9.4 y SAS Viya 3.5, al adoptar arquitecturas basadas en contenedores orquestados por Kubernetes y
En el mundo actual, donde los datos son el activo más valioso, la ciberseguridad se ha convertido en una prioridad absoluta para las organizaciones. Proteger información sensible mientras se permite un análisis avanzado y eficiente requiere plataformas que sean no solo potentes, sino también resilientes frente a las amenazas digitales.
금융기관은 다양한 업무에 조직과 더불어 여러 시스템들이 갖춰져 있습니다. 그러한 시스템에는 수많은 프로그램과 모델(로직)들이 결합되어 업무 활용의 효율성과 신뢰성을 보완해주는 역할을 합니다. 특히나 AI 모델을 많이 만들고 사용하는 최근에는 그동안 기업에서 각종 규제에 맞춰 만들어진 모델들까지 포함한 전사적 모델 관리가 리스크 관리의 중요한 부분으로 떠오르고 있습니다. 여기서, 여러분이 컴플라이언스/리스크 관리
SAS' Mary Osborne, Ali Dixon Ricke, and Franklin Manchester break down what insurers still need to learn about generative AI.
The time is now for insurance companies to lead the way in addressing climate risk
As data decays, it becomes less useful. See how synthetic data for insurance can help.
Climate risks threaten insurers' profitability and financial stability. See how insurers can adapt.
En la actualidad, los modelos analíticos son herramientas esenciales para tomar decisiones basadas en datos. Desde prever tendencias hasta optimizar operaciones, los modelos analíticos dependen en gran medida de la calidad de los datos de entrada. La precisión, integridad y relevancia de estos datos son cruciales para obtener resultados confiables
Insurers are racing to adopt GenAI, despite concerns. See where the industry is headed.
La Inteligencia Artificial Generativa y la Inteligencia Artificial Predictiva son cada vez más utilizadas en el sector asegurador para predecir tendencias, demandas y optimizar operaciones. Sin embargo, de acuerdo con un estudio elaborado por Ernest and Young, el 50 % de los ejecutivos y responsables de áreas de tecnología no
Investment in AI is an obvious target for the insurance sector. Insurers have always been interested in technology that helps detect and prevent fraud and improve underwriting efficiency while speeding processes and reducing – or at least not increasing – costs. But what is the reality in this highly regulated
Five years ago, there was no conflict in Ukraine. People went into offices for work. No one was fighting over toilet paper. Everyone’s concept of AI was loosely anchored by Hollywood films like Terminator or War Games. And, insurers enjoyed relatively stable profits, consistent inflation/interest rates, and manageable change volume.
The commercial real estate crisis is looming for insurers and banks. Learn how AI decisioning can help.
Learn how SAS and cloud computing can help insurers realize operational and business benefits.
As part of this year's IEEE Visual Analytics Science and Technology (VAST) Challenge, a group of SAS data scientists puit SAS Viya and related machine learning tools to the ultimate test - to identify individuals in a complex fishing network. Excitedly, the team received the Honorable Mention Award for Breadth of Investigation!
Going forward, insurance will be based on data and AI – with a predict-and-prevent approach.
Il settore assicurativo vanta una lunga storia, che va dal Codice di Hammurabi (circa 1750 a.C.), passa per lo ius maritimum dell’antica Roma e arriva fino al Caffè di Edward Lloyd sulle rive del Tamigi (1688). Da notare che la compagnia assicurativa più longeva degli Stati Uniti (The Philadelphia Contributionship, 1752) fu
Die Versicherungsbranche blickt auf eine lange Geschichte zurück, die bis zum Codex Hammurapi um ca. 1750 v. Chr., dem römischen Seerecht und dem Lloyd's Coffee House an der Themse im Jahr 1688 zurückreicht. Das älteste Sachversicherungsunternehmen in den USA war die Philadelphia Contributionship, die 1752 von Benjamin Franklin gegründet wurde.
Forsikringsbranchen har en lang historie, der går tilbage til Hammurabis lov (ca. 1750 f.Kr.), romersk søfartslovgivning og Lloyd's kaffehus på Themsen (1688). Især blev det længstvarende ejendomsforsikringsselskab i USA (The Philadelphia Contributionship, 1752) oprettet af Benjamin Franklin. Det er fra denne grundlægger, vi kender udtrykket: "Et gram forebyggelse er mere
