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Analytics | Artificial Intelligence
Hyeshin Hwang 0
SAS 이노베이트 2025에서 미래를 만나다!

여러분이 생각하시는 데이터와 AI의 미래는 어떤 모습인가요? 생성형 AI에서 양자 컴퓨팅까지, 지금껏 상상해왔던 수많은 기술과 개념이 지금 이 순간 현실로 다가오고 있습니다. 불가능을 가능으로, 상상을 현실로 만들 데이터와 AI의 첨단 화두가 무엇인지 궁금하시다면 SAS Innovate 2025에서 확인해 보세요. 5월 6-9일까지 나흘간 미국 플로리다주 올랜도에서 개최된 ‘SAS 이노베이트 2025(SAS Innovate 2025)’는

Cloud | Data Management | Work & Life at SAS
Margherita Albrizio 0
SAS Enhanced Support: More than support — a true technological partnership

SAS' Enhanced Support model is structured into five progressive levels, ranging from Limited Support—designed for outdated software versions—to Premium Support, which offers the highest service standards, including enhanced SLAs, 24/7 assistance, and direct access to product experts. In particular, the combination of Extended Technical Support and Premium Support has proven to be a winning strategy for many companies undergoing modernization. This approach allows continued support for legacy environments during the migration to newer versions, minimizing operational risks and ensuring service continuity.

Analytics | Artificial Intelligence | Fraud & Security Intelligence | Programming Tips | SAS Events
Maíra Porto 0
FEBRABAN TECH 2025: agenda de palestras do SAS

Mais uma vez marcaremos presença no maior evento de tecnologia e inovação do setor financeiro: o Febraban Tech! Neste ano, o congresso acontece de 10 a 12 de junho, novamente no Transamérica Expo Center, e tem como tema central “A aceleração do Setor Financeiro na Era da Inteligência”.  E o

Advanced Analytics | Artificial Intelligence
Mario Ulloa 0
¿Cómo la analítica de datos e Inteligencia Artificial pueden optimizar y mejorar los sistemas de salud?

La capacitación de las organizaciones de la salud y ciencias biológicas públicas y privadas será crucial para impulsar innovaciones sanitarias confiables y mejorar la obtención de información para tomar decisiones acertadas en temas de salud pública para atender enfermedades que afectan a grupos poblacionales específicos, como el cáncer o los

Advanced Analytics | Analytics | Programming Tips
Kevin Scott 0
Detecting lags in nonlinear time series with PROC TSSELECTLAG in SAS Viya

Accurately identifying lag structures between related time series is essential in public health forecasting, particularly during epidemics where delays between infections and hospitalizations affect planning. Using a simulated SEIR model and SAS Viya’s PROC TSSELECTLAG, distance correlation is shown to outperform Pearson correlation by correctly identifying nonlinear lag relationships—such as the true seven-day lag between new infections and hospital admissions.

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