AI is only as powerful as the data behind it. You’ve probably heard the phrase “garbage in, garbage out.” That’s always been true in analytics, but in today’s AI-driven world, the consequences of poor data are greatly amplified. Flawed models, biased predictions and opaque decision-making all trace back to one
When creative minds come together to solve real-world problems using the power of analytics, great things happen. The SAS Hackathon is more than just a competition; it’s a global innovation experience that brings together coders, domain experts and big thinkers from across industries and backgrounds. What we’ve been up to
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
Model governance has moved from "nice to have" to a "non-negotiable". As organizations deploy AI across industries like health care, banking and government, the demand for transparency, trust and accountability is louder than ever. SAS experts Briana Ullman, Product Marketing Manager and Vrushali Sawant, Data Scientist, discussed what that looks
SAS' Enhanced Support model is structured into five progressive levels, ranging from Limited Support—designed for outdated software versions—to Premium Support, which offers the highest service standards, including enhanced SLAs, 24/7 assistance, and direct access to product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.
There’s nothing like the energy of a first-time experience – especially at SAS Innovate. Whether it was the keynotes, the tech demos, the chance to connect with peers, or just soaking it all in, first-time attendees had plenty to say about what made the event stand out. We caught up with
Using SAS Viya Workbench for efficient setup and execution, this beginner-friendly guide shows how Scikit-learn pipelines can streamline machine learning workflows and prevent common errors.
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.
If you think of SAS as a data, AI and analytics powerhouse, Epic Games as the studio behind Fortnite and Georgia-Pacific as the company that makes paper towels and more, you’re not wrong. But you’re also missing the bigger story. One that – quietly and collaboratively – is reshaping how
Call it what you want – an arms race, a land grab, a gold rush – but AI is now the centerpiece of most business strategies. Executives aren’t just curious about AI anymore; they are positioning their organizations for the technology's future. The problem? Most organizations aren’t ready. Even as
SAS announces continued support and releases for SAS 9 and a new role for SAS Enterprise Guide with SAS Viya.
No matter what industry you’re in or where you are in your career journey, you can benefit from AI. With that in mind, what can we all do to ensure that AI is more available and accessible to everyone? “The future is AI. It’s now. And it’s revolutionizing how we
Using 47 seasons of Survivor data, this analysis explores what gameplay traits correlate with winning, applying Python and SAS Viya Workbench to build predictive models. While stats like challenge wins and voting accuracy help narrow down potential winners, the findings suggest that intangible social dynamics play the most decisive role.
Introducing the new third edition of SAS For Dummies, covering SAS 9.4, SAS Viya, SAS Visual Analytics, SAS Viya Workbench and more!
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
SAS's Kevin Scott explains how to set up and analyze a dataset for forecasting in SAS Viya with a particular emphasis on selecting lags for dynamic models
What happens when you combine curiosity, chopsticks and a wobbly Jenga tower? You get a fun (and slightly nerve-wracking) way to talk about SAS Innovate. We wanted to hear how some of our colleagues are contributing to this year’s big event, but we didn’t want to just ask them the
With a packed agenda of sessions, navigating a conference like SAS Innovate can feel overwhelming – especially for first-time attendees. Where to start? What do you mean I'll hear from inspiring and knowledgeable speakers and business leaders? There's hands-on experiences, too? No worries. After combing through the schedule, I’ve identified
SAS Viya와 함께 데이터 기반의 문제를 해결하다! SAS코리아는 학생들의 데이터 분석 역량을 강화하고 일상 속 다양한 데이터 기반 문제 해결을 지원하기 위해 한국데이터정보과학회가 주관하는 대학(원)생 대상 ‘데이터 분석 경진대회’를 후원합니다. 이번 대회의 주제는 ‘SAS®Viya®와 함께 데이터 기반의 문제를 해결하다’입니다. 119팀(353명)이 대회 참여를 신청했으며, 3월 28일 SAS코리아가 제공하는 교육을 시작으로
Reading McKinsey's article How Banks Can Supercharge Technology Speed and Productivity, released around the same time as SAS' From Data to Decision: Increasing AI Productivity with SAS® Viya®, sparked an epiphany for me. My last job before entering the technology industry was as a product manager at a super-regional bank.
En el vertiginoso mundo de la analítica, la teoría es fundamental, pero la experiencia práctica es la que realmente marca la diferencia. En SAS, lo sabemos bien. Por eso, hemos forjado una alianza estratégica con la Universidad Carlos III de Madrid para impulsar el talento emergente, brindándoles la oportunidad de
Het data- en AI-platform SAS Viya 4 biedt krachtige voordelen: verbeterde prestaties, hogere productiviteit en meer vertrouwen. Dankzij de volledig cloud-native architectuur is het platform bovendien uiterst flexibel. Voor bestaande SAS-klanten is echter eerst een migratie nodig om optimaal te profiteren van deze voordelen. SAS-partner Notilyze faciliteert deze overgang op
SAS Viya Workbench integrates seamlessly with SAS Model Manager for SAS model deployment and monitoring.
The world of data and AI is evolving at breakneck speed, with 2025 shaping into a year of breakthroughs and significant challenges. From AI model hallucinations to the role of synthetic data in innovation, industry leaders are grappling with complex issues that will shape the future of technology. I recently
Fitting a Support Vector Machine (SVM) Model - Learn how to fit a support vector machine model and use your model to score new data In Part 6, Part 7, Part 9, Part 10, and Part 11 of this series, we fit a logistic regression, decision tree, random forest, gradient
Not too long ago, whenever I heard the word ‘hackathon,’ I thought of Wreck-It Ralph from the Disney movies. Ralph was a video game character tasked with wrecking buildings, while Fix-It Felix would repair them. In Wreck-It Ralph 2, Ralph broke the internet. I used to think hackathons were only
SAS's Ann Kuo walks you through how SAS Tech Support developed an email classifier to clean up spam and misaddressed emails using SAS Viya's NLP-based text classifier
Fitting a Neural Network Model - Learn how to fit a neural network model and use your model to score new data In Part 6, Part 7, Part 9, and Part 10 of this series, we fit a logistic regression, decision tree, random forest and gradient boosting model to the
SAS' Danny Sprukulis takes you step-by-step through geocoding incomplete geographic data sources for proper visualization and through its additional capabilities.
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.
