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Agentic AI in insurance has potential to transform insurance. Read four use cases.
Banks have reshaped their operations over the past 50 years. What used to move in cycles now shifts in real time. Risk compounds quickly. Fraud adapts. And customers don’t compare their bank to another bank anymore – they compare it to every digital experience they’ve ever had. The technology has
A previous article discusses Welford's one-pass method for computing the sample mean and variance. The article mentions that a useful application of Welford's formulas is to monitor the convergence of a Monte Carlo simulation. This article shows how to implement that strategy in SAS. The Goldilocks Principle for Monte Carlo
Imagine que você está dirigindo tranquilamente pela cidade quando, de repente, surge uma situação inusitada na sua frente: uma bicicleta de cabeça para baixo no meio da rua. Você para, pensa, analisa a situação e toma uma decisão. Agora imagine um carro autônomo na mesma situação. Se o sistema que
At the end of a long day, answering the question “What’s for dinner?” can feel like one more decision that you’d rather not make. AI can transform meal planning from just another task on your to-do list to an opportunity to organize and prepare meals at home with confidence, creativity,
Asset and liability management (ALM) is still a cornerstone of banking. But when market conditions shift quickly, as they increasingly do, it no longer reflects how banks actually experience and manage risk, capital and profitability. The environment has changed. Volatility is now persistent rather than episodic. Regulatory expectations continue to
If AI ambition inside your bank is starting to collide with day‑to‑day delivery realities, this six‑minute video is worth your time. It’s a “cut through the noise” conversation about what’s shaping banks right now: risks, opportunities and the reality behind the hype. AI’s impact depends on the foundation Listen to
In statistical programming, we often assume that the data are stored in a matrix or a data set and can be read at will. For example, if you want to compute a sample mean or standard deviation, you simply pass a vector to a built-in function, and the software spits
안녕하세요? 한국데이터정보과학회가 주관하고 SAS 코리아가 후원하는 '제 2회 데이터 분석 경진대회'에 참가해 주신 모든 분들께 감사드립니다. 130 여 개 팀의 열띤 참가 속에서 진행되고 있는 이번 대회의 중간 심사 결과를 아래에 발표합니다. [1차 심사 결과] : 결과 보기 [2차 심사 결과] : 결과 보기 [3차 심사 결과] : 결과 보기
Todo ano, a cerimônia do Oscar reserva aquele momento de tensão: será que o favorito absoluto vai confirmar as expectativas ou perder para uma “zebra”? A inteligência artificial e a análise de dados, que já faz parte do cotidiano de muita gente, também vem ganhando espaço nesse universo. Em época
Few words stir both excitement and fear quite like AI. Similar to a carnival rollercoaster, some people lean into the thrill, while others clutch their safety bar. The promise of AI seems limitless, but so does the risk of going off the rails. This dynamic is playing out across government,
At SAS, we believe that prioritizing employee well-being is the right thing to do for our people; it also makes good business sense. Life doesn’t stop when we log on or walk into the office, and that’s why we offer unique resources like our onsite Health Care Center, Recreation and Fitness Center and Work/Life
Customer engagement is entering a new era that’s evolving very quickly. And it’s not defined by more messages or channels – it centers on intelligence, autonomy and trust. As organizations rethink how they connect with customers, a new model is emerging: engagement that predicts, learns and acts with purpose. In
La ciberseguridad en el sector de telecomunicaciones (TELCO) cobra especial urgencia en Centroamérica y el Caribe, en un contexto donde estas empresas figuran entre los sectores más atacados globalmente, señalan especialistas. Según datos de Kaspersky Managed Detection and Response, en el primer semestre de 2024, las empresas de telecomunicaciones sufrieron
Most analytical journeys start the same way – with a question. When did we have the highest profit? Which customers are driving growth? What segment should we look at next? In traditional analytic workflows, turning those questions into answers often requires navigating menus, configuring visuals, writing calculations and interpreting results