With the release of SAS Viya 2020.1.4, text categories and concept models can now be deployed into production with just a few clicks and used to score data in-batch and via API! You can also now use these models in decision flows.
You've probably heard by now the new SAS Viya runs on containers orchestrated by Kubernetes. There is a lot to know and learn for both experienced users and k8s noobies alike. I would recommend searching the SAS Communities Library for a wealth of information on deployment, administration, usability, and more.
A few months ago, I published an article about network optimization and how to find an optimal tour when visiting multiple places of interest by using different types of transportation, like buses, trains, tram, metro, and even walking. For a real-world case, I decided to run these optimal tours in
SAS Global Forum 2021 will be jam-packed with inspiring content. Register today to ensure you don't miss a second of this year's event.
In the second of two posts spotlighting SAS R&D innovators, SAS' Udo Sglavo interviews Chris Barefoot, Matthew Galati, Courtney Ambrozic and Davood Hajinezhad.
In the first of two posts spotlighting SAS R&D innovators, SAS' Udo Sglavo introduces you to developers Amy Shi, Maggie Du and Phil Helmkamp.
SAS Viya 4 est un terme qui englobe toutes les versions basées sur la cadence (cf. ci-dessous). La plupart des références omettent le chiffre 4 parce qu'elles concernent une version spécifique (comme 2020.1) ou qu'elles sont pour SAS Viya en général. Dans certaines références qui font la distinction entre les
Readers of my earlier post Discover Visual Analytics Report Paths with REST APIs asked for ways to export SAS Visual Analytics (VA) report content programmatically. I know this is a topic of interest from many VA report designers. So, I think it’s better to write something on this and I
Linear programming (LP) and mixed integer linear programming (MILP) solvers are powerful tools. Many real-world business problems, including facility location, production planning, job scheduling, and vehicle routing, naturally lead to linear optimization models. Sometimes a model that is not quite linear can be transformed to an equivalent linear model to reduce
Los datos están vivos y evolucionan con el transcurso de los años. Por otro lado, la realidad que vivían las empresas hace unas décadas dista bastante de la actual, y esta “fotografía” está en constante movimiento. En este contexto, ¿cómo ha cambiado el papel de la analítica de datos en
Deloitte, ses partenaires RCI Bank and Services et SAS ont organisé pour la 3e année consécutive le DRiM Game, LE challenge étudiant dédié à la « data science ». Quatre formations de seconde année de master ont travaillé sur une problématique métier de l’industrie bancaire et relevant de la modélisation
By making requests through API calls you can expand the functionality of the bots you make with SAS Conversation Designer; allowing your bots to query external sources for up-to-date information, score a model, and many other possibilities. This is very beneficial as SAS Conversation Designer is included in many offerings of the modernized SAS Viya platform, meaning you can easily create bots that are integrated with the other services of the SAS Viya platform or third-party services.
FDA, 의약품 평가 및 연구 센터 위해 SAS 고급분석 및 AI 기술 도입 미국 식품의약국(FDA)은 SAS® Viya® 플랫폼 내 자연어 처리, 인공지능 및 머신러닝 기능 등을 기반으로 새로운 도약을 위해 SAS와 40년 파트너십을 연장하기로 했습니다. 향후 5 년간 4,990 만 달러(약 560억원)에 달하는 총괄 구매 계약(BPA)을 통해 SAS는 FDA에서 진행중인
The people, the energy, the quality of the content, the demos, the networking opportunities…whew, all of these things combine to make SAS Global Forum great every year. And that is no exception this year. Preparations are in full swing for an unforgettable conference. I hope you’ve seen the notifications that
This post is part of our Young Data Scientists series, featuring the motivation, work and advice of the next generation of data scientists. Be sure to check back for future posts, or read the whole series by clicking on the image to the right. This July, the inaugural Academic SAS
Note from Udo Sglavo on mathematical optimization: When data scientists look at the essence of analytics and wonder about their daily endeavor, it often comes down to supporting better decisions. Peter F. Drucker, the founder of modern management, stated: "Whenever you see a successful business, someone once made a courageous decision."
Safety, efficacy, speed and costs must all be prioritized and balanced in the delivery of life-changing therapies to patients. A drug that's quickly and cost-efficiently delivered to market, but isn’t effective and safe is unacceptable. An effective, safe drug that doesn’t get to patients in time to save lives has
A note from Udo Sglavo: When people ask me what makes SAS unique in the area of analytics, I will mention the breadth of our analytic portfolio at some stage. In this blog series, we looked at several essential components of our analytical ecosystem already. It is about time to
SAS가 클라우드 시장 및 타사 애플리케이션 등에 AI 접목을 촉진하기 위해 로우코드/노코드 애플리케이션 배포 및 분석 워크로드 관리 전문 영국 비상장 회사 보엠스카(Boemska)사를 인수했습니다. SAS는 이번 인수로 획득한 기술을 SAS Viya에 적용해 고객의 클라우드 분석 관련 비용을 절감하고, 모델을 모바일 및 엔터프라이즈 앱 등에 이식할 수 있게 될 예정입니다. 이를
SAS Studio Taskの紹介 仕事の中で、このような状況に遭遇したことはないでしょうか？普段Enterprise Guide或いはSAS Studioを利用している分析チームの中には、コーディングユーザとSAS言語ができないGUIユーザがいます。ある分析プロジェクトにおいて、特定のモデルを活用する場合に、そのモデルはSASコードを書くことで利用することはできますが、EGのGUI操作やSAS Studio のTaskだけでは活用することができません。この場合に、GUIユーザがコーディングユーザと同じような分析を行うためには、コーディングユーザが作ったSASコードを利用し、入出力情報やパラメータなどを修正した上で使用することになります。しかし、このようなやり方では、たとえば、修正を間違えることによって、エラーを起こし、コードを書いた人に助けてもらわないといけないことも時々発生していました。 この状況に置いて、SAS言語ができないユーザでも、コードを書かずにGUI上の簡単なマウス操作で実施できるような便利な機能をご紹介します。 SAS Studioには、SAS Studioカスタムタスクという機能が組み込まれています。必要な機能が既存のタスクとして用意されていなくても、プロシジャーがあれば自らタスクを簡単に作成できるインターフェースです。XML形式で必要な入出力箇所やオプションを定義することによって、GUI画面を持つタスクが簡単に作れます。そのタスクをSAS Studio上では勿論、SAS Enterprise Guide上でも使うことができます。非常に便利な機能です。この便利なSAS Studioカスタムタスクには以下のような特徴があります。 ・タスクを作る際にはSAS以外のプログラミング知識は必要ありません。 ・SAS Studioで作る場合は、XMLを書きながら、作成途中のGUIの画面を常に確認できます。 ・タスクを使う人は簡単なマウス操作で利用可能です ・そして、SAS StudioとEnterprise Guide両方での利用が可能です。 ・XMLベースなのでタスクの修正は簡単です。 ・テキストボックス、チェックボックスなど多様なコントロールを定義可能です。 SAS Studio Taskの作り方 今回は混合正規モデルを例にSAS Studio Taskの作成方法を紹介します。SAS Studio Taskを作るには二つの方法があります。 一つ目は新規で一からタスクを作成する方法です。 二つ目は既存のタスクをテンプレートとして使い、内容を修正しながらタスクを作る方法です。 今回の記事は一つ目の方法をメインとして紹介しますが、記事の最後に二つ目の方法に関しても簡単に紹介します。作成ツール（XMLエディタ）としては、SAS Studioや任意のエディターのいずれかを使用しても構いませんが、この記事では最新のSAS Studio 5.2を使用しています。操作方法などは使っているSAS Studioのバージョンによって変わる場合はありますが、定義の書き方に相違はありません。 SAS Studioを開いて、メニューから新規作成をクリックし、タスクと選択します。そして下の図のようなタスクテンプレートの画面が表示され、この画面内でSAS Studio Taskの定義を行います。まずSAS Studio Taskの定義の構造を紹介します。 最初の2行はシステムにより生成されたタスクのエンコーディングとスキーマバージョンの定義です。この部分を修正する必要はありません。 <?xml version="1.0" encoding="UTF-16"?> <Task schemaVersion="7.2">
A good public transportation system is crucial to develop smart cities, particularly in great metropolitan areas. Network optimization algorithms can be applied to better understand urban mobility, particularly based on a multimodal public transportation network.
A note from Udo Sglavo: This post offers an introduction to complex optimization problems and the sophisticated algorithms SAS provides to solve them. In previous posts of this series, we learned that data availability, combined with more and cheaper computing power, creates an essential opportunity for decision-makers. After looking at network analytics
Find out the most popular SAS Users YouTube channel how to tutorials, and learn a thing or two!
In my previous blog post, I talked about using PROC CAS to accomplish various data preparation tasks. Since then, my colleague Todd Braswell and I worked through some interesting challenges implementing an Extract, Transform, Load (ETL) process that continuously updates data in CAS. (Todd is really the brains behind getting
All analytics projects have data as their foundation and this data is usually spread across a variety of databases, storage systems and locations. This diverse and complex landscape causes data scientists to spend an inordinate amount of time searching for the right data and preparing this information for analytics. It’s
A note from Udo Sglavo: A wealth of connectivity is pervasive in the data we gather across many industries. In other words, networks are all around us. A data science trend you cannot ignore is to organize, learn from, and drive decision-making based on connected data. Network analytics engines provide efficient
If you’re like me and the rest of the conference team, you’ve probably attended more virtual events this year than you ever thought possible. You can see the general evolution of virtual events by watching the early ones from April or May and compare them to the recent ones. We
The story goes on to the tune of 90 percent of available data today has been created in the last two years! As SAS (and the computing world) moves to the cloud, the question of, "How do I deal with my data (Big and otherwise), which used to be on-prem,
Public and private schools are struggling to figure out how to bring face-to-face instruction to students during this pandemic. Health risks to students and teachers, parents struggling with child-care options and/or support for virtual learning, and schools’ capacities and budget limitations make this problem a severe logistical challenge. Schools need
The first principle of analytics is about bringing the right analytics technology to the right place at the right time. Whether your data are on-premises, in the cloud, or at the edges of the network – analytics needs to be there with it. Being true to this principle means we
