All Posts
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
Shahrzad Azizzadeh and team discuss optimizing inspector assignments using SAS Optimization in federal and state meat processing facilities.
There’s a new reality. Managing, organizing and analyzing data alone is no longer enough. What really matters is how decisions are made, governed and executed. To be successful, enterprises need a unified approach that allows decisions to sit at the center, bringing people, systems and data together. While there are
Insurance is a business built on trust. Each policy represents a promise that insurers must be able to explain, defend and ultimately fulfill. When you add in AI becoming more embedded in underwriting, pricing, claims and customer engagement, that promise is being mediated by data and algorithms. An IDC report,
This is the last article in a series about the nonnegative matrix factorization (NMF). In this article, I run and visualize an NMF analysis of the Scotch whisky data and compare it to a principal component analysis (PCA). Previous articles in the series provide information about the whisky data, the
Agentic AI has been heralded as a top tool for efficiently orchestrating customer engagement activities at insurance companies. It can: Automate repeatable, rule-based processes that affect customer experience (think claims processing and customer onboarding). Rapidly retrieve disparate data, analyze risks and recommend decisions. Help lower operational costs while keeping humans
Advanced AI technology is transforming how governments think, work and solve problems. With new terminology and evolving tools, understanding AI can feel overwhelming. Before diving into new applications, it helps to build a strong foundation in its core concepts. This overview breaks down three of today’s most prominent AI capabilities: machine learning,
Optimice y modernice todo el proceso de planificación financiera con analítica El problema El ritmo de los cambios normativos, junto con el crecimiento explosivo de los datos financieros y operativos disponibles, ha hecho que las soluciones de contabilidad tradicionales sean incapaces de proporcionar la información crítica sobre los costes, la