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지난 7월 4일 SAS코리아는 광화문 포시즌스호텔에서 국내 제조 산업 관계자를 대상으로 ‘SAS 제조 이노베이션 포럼 2019(SAS Manufacturing Innovation Forum 2019)’을 성공적으로 개최했습니다. SAS는 이번 포럼에서 미국, 독일, 일본 및 국내 제조사들의 고객 사례를 통해 ▲글로벌 B2B 업계의 예측 자산 유지보수 ▲제품 품질 및 투자 수익(ROI) 개선 ▲수요 예측을 통한 생산/판매
A speaker at a recent major tech event quipped that “they will only call it AI until it is useful”. The point was that AI for the sake of AI is pointless, and can even be counter-productive. As soon as someone conceives and develops an actual use case, they name
As the 2020 Census approaches, I'm getting my code ready to plot the data! And a question I often hear is "Can you use SAS software to plot data on a Census block map?" Rather than tell you 'yes', let me show you 'yes' :) Preparing the map First I
With all the excitement around SAS’ new software architecture, SAS Viya, we often get asked the question: What is it and how can it help my company conquer our analytics challenges? Fortunately, learning more about SAS Viya has never been easier. SAS Viya extends the SAS® Platform and provides reliable,
Here’s something you should know about Marvio Portela: He’s the kind of leader who’s not afraid to admit making a mistake. “I have had more than one life at SAS,” said Marvio, who explained that his first career at SAS began in 2010. “SAS is a place where you can
More and more business applications, including advanced analytics, are moving into the cloud. The advantages are obvious: agility, innovation and cost-efficient high performance. However, many cloud migrations fail to unlock its full potential. To maximize the performance and value of analytics in the cloud, companies need to balance options and
Immer mehr Geschäftsanwendungen, darunter Advanced Analytics, wandern in die Cloud. Die Vorteile liegen auf der Hand: Agilität, Innovation und kosteneffiziente High-Performance. Viele Cloud-Migrationen scheitern jedoch daran, das volle Potenzial dieser Bereitstellungsform zu erschließen. Um Performance und Mehrwert von Analytics in der Cloud zu maximieren, müssen Unternehmen die Optionen abwägen und
Heat maps have many uses. You can use a heat map to visualize correlation matrices, to visualize longitudinal data ("lasagna plots"), and to visualize counts in any two-dimensional table. As of SAS 9.4m3, you can create heat maps in SAS by using the HEATMAP and HEATMAPPARM statements in PROC SGPLOT.
인공지능(AI) 기술은 더 이상 공상 과학소설 속 제재가 아닌 기업이 마주한 현실이 되었습니다. 오늘날 기업들은 머신러닝, 알고리즘, 스마트형 커넥티드 제품 등 다양한 AI 기술을 새롭고 흥미로운 방식으로 비즈니스에 적용하고 있습니다. 딜로이트(Deloitte)에서 이러한 인지기술(cognitive technologies)을 적극적으로 도입하는 기업들을 대상으로 진행한 최근 설문조사에 따르면, 응답자 중 76%가 AI를 비롯한 인지기술이 3년 이내에
At SAS, we’re proud to have a multidimensional and multi-generational workforce. Our CEO, Dr. Jim Goodnight, says it best: “We believe a diverse workforce brings unique talents and inspires teams to create software that changes the world. Great minds don’t always think alike, so we make it a priority to
現在、機械学習が大ブームを巻き起こしており、各種ビジネスへ応用拡大の勢いはとどまるところを知りません。一方で、「“機械学習”という名前は聞くけど、よくわからない…。」、「“機械学習”について学んでみたいけど、プログラミングに自信はない…。」などと考えている方も少なくないはずです。そこで本記事では、煩わしいプログラミングなしで機械学習が学べる「Machine Learning Using SAS Viya」という学習コースについてご紹介します。 「Machine Learning Using SAS Viya」は、オンライン学習プラットフォーム、「Cousera」のコースの一つです。SAS Viya for LearnersというSAS の教育用環境を使用し、オンライン上で実際に手を動かしながら機械学習の基礎を学べます。GUIでの操作が基本であるため、プログラミングに自信のない方でも取り組めることが特徴です。本コースは六週間分のパートに分かれており、無料で教材の内容全ての閲覧が可能です。また、コースを購入すると採点機能の利用や修了証の発行などの機能も利用可能です。コースの言語は英語で、コース内動画は英語字幕に対応しています。 シラバスは以下のとおりです。 Week1：Getting Started with Machine Learning using SAS® Viya® Week2：Data Preparation and Algorithm Selection Week3：Decision Tree and Ensembles of Trees Week4：Neural Networks Week5：Support Vector Machine Week6：Model Deployment 本記事ではWeek1・Week2の内容を各セクションごとにご紹介します。 Week1：Getting Started with Machine Learning using SAS® Viya®
Are you a seasoned data scientist looking for a fast, all-inclusive machine learning solution? Curious about machine learning but have little to no programming experience? Interested in using AI to take over the world? Follow my lead and use SAS VDDML to fast track your world domination. This blog is
Some people still associate artificial intelligence (AI) with robots taking over the world. There's a lot of hype around self-driving cars and personal robots. However, there are far more realistic and beneficial examples of AI in everyday life. AI is the science of training systems to emulate human tasks through
Editor-in-Chief Len Tashman's Preview of the Summer 2019 Issue of Foresight This 54th edition of Foresight features an important new take on the role of judgment in the forecasting process. Normally, we see judgment applied to adjust a statistical forecast or supply a forecast directly. But here Fotios Petropoulos proposes
Las organizaciones se enfrentan a la creciente demanda de analítica de alto rendimiento que produzcan resultados rápidos y confiables. La transformación digital y el análisis empresarial son una prioridad en la agenda de muchas organizaciones. Para los CIO en sus organizaciones, significa una oportunidad para habilitar el valor a escala