Consumers are pulling back and shifting their purchases in the wake of inflationary pressures caused by high prices for fuel, freight costs, consumer goods and nonessential products. Demand is shifting faster than many retailers and consumer goods companies anticipated. Inflation continues to rise forcing consumer spending to shift once again
SAS' Damian Herrick chronicles the refresh of a 2002 social-network analysis aimed at identifying influential peer educators among former drug users.
My recent work has focused heavily on migration, especially onto the SAS Viya platform and cloud more generally. Rather unexpectedly during this process, we have found that data observability is becoming increasingly important to customers. They start simply by looking at tracing files, but soon find that it has a
SAS' Kevin Russell compares how you order your data with a BY statement in SAS 9.4 versus in CAS using the ADDROWID data set option in SAS Viya.
SAS has been busy this summer and so has Women in Analytics (WIA). Read through this list to learn something new, discover upcoming events and see what WIA has been up to! Batting Lab With the recent opening of the SAS Batting Lab, kids are learning how to improve
Let's create a Multi-stage Computer Vision model to detect objects on high-resolution imagery taken from an aerial view. The goal is to locate a dog and determine if he is wearing a scarf or not and what color the scarf is.
Maybe you’re a SAS®9 programmer in the insurance industry who stores her analytics projects in a local desktop folder, or in a Git library. Or maybe you’re a data scientist who specializes in aviation forecasting and loves the no-code environment of SAS® Viya®. Or maybe you’re a Python devotee at
Artificial intelligence (AI) is causing a digital transformation that is changing businesses’ operations. It is likely to bring a sea change compared to the Industrial Revolution. Many challenges with AI are technical, but most failures occur because of poor strategy and execution. Fortunately, there are some steps you can take
SAS가 하와이 호놀룰루 소재 리스크 관리 전문기업 가마쿠라(Kamakura Corporation)를 인수했다는 소식을 전해 드립니다. 가마쿠라는 은행, 보험사, 자산운용사, 연금 기금 등 광범위한 금융 기관들이 다양한 유형의 금융 리스크를 관리할 수 있도록 전문 소프트웨어, 데이터 및 컨설팅을 제공하고 있는 비상장기업입니다. 치솟는 인플레이션과 경기 침체가 세계 경제에 먹구름처럼 드리워지면서, 크고 작은 금융 서비스
This year we had the pleasure to attend the 42nd International Symposium on Forecasting in Oxford, UK. SAS participants traveled from across the globe. They presented their research, discussed their ideas, and learnt from some of the most reputable names in the forecasting space. The presentations were captivating and the
In this introduction to powerful knowledge graph tools, SAS' Brandon Reese shows you how they can predict disease similarity and compound similarity using an unsupervised approach.
SAS Grid Manager for Platform, SAS Grid Manager, and SAS Viya Workload Management all manage and balance job loads, right? So, are there three SAS products providing the same functionality? Let’s explore, as I am curious in your answer after you read this article. Each of the three applications has
Queuing up to wait for services is a nearly universal experience. We routinely arrange ourselves in single file lines at the bank, at retail stores, and at the fast-food drive-through. Since the COVID pandemic hit, we've increasingly waited in lines to ensure our health – lining up to be seen
In June 2020, we announced our strategic partnership with Microsoft to help our joint customers address their most critical analytical challenges with SAS® Viya® on Azure. In honor of two years together, we’re highlighting some of our biggest milestones, favorite stories and impressive results. Better Together In June 2020, we announced our
SAS is pleased to announce a new ModelOps certification. Recognizing the growing need in this emerging area, this new credential will help create a standard of knowledge within the area of ModelOps.
Fast 200 Todesopfer (davon 134 allein im Ahrtal), 33 Milliarden Euro an Sachschäden – das Hochwasser im Ahrtal 2021 war die teuerste Naturkatastrophe der europäischen Geschichte. Und weniger als ein Viertel der betroffenen Assets war versichert. Wer die Risiken von Überschwemmungen und anderen Naturereignissen früher erkennen und präziser einschätzen will,
SQL (Structured Query Language) is the most widely used programming language for relational databases worldwide. No other programming language produces more hits for a web search than SQL and interest is growing rapidly. In June 2010, Google showed 135 million hits versus 586 million hits in June 2020. SQL is
Wouldn’t it be cool if we establish a mechanism that provides more data scientists easy access to SAS Reinforcement Learning capabilities, from a centralized location and using a standardized approach?
This is the third post in a series about the Gartner Data & Analytics Summit in London. Welcome to the third and final collection of thoughts inspired by my time covering the SAS booth at the Gartner Data & Analytics Summit in London. In my previous blog, I talked about
Research, supply chain, manufacturing, and sales increasingly depend on partnerships in a digital ecosystem. Cloud-based analytics makes it possible to collaborate intelligently at scale. For years, life sciences companies have been justifiably cautious about moving their data science functions into the cloud. Although the industry’s central purpose is to accelerate
SAS' Michael Lamm gives an overview of Bayesian Additive Regression Trees (BART) and demonstrates training and scoring BART models in SAS Visual Statistics.
SAS has been extending technological boundaries for many years. Whether in analytics, artificial intelligence (AI) or cloud, it excels in innovating what these technologies can do on a day-to-day basis. Recently, SAS released some of its most exciting announcements, sharing what is to come over the next couple of years.
As promised in this latest blog about the Gartner Data & Analytics Summit in London, here’s an update from the second day at the SAS booth. To make a long story short, each day the SAS booth team posed a question to attendees visiting the booth. They could submit three
SAS Analytics Pro Advanced Programming offers key statistical capabilities in a docker container. The product bundles selected executables from SAS Viya to create the container, which eases or streamlines the setup required for fixes and updates to the software.
Robert Blanchard's role as a data scientist at SAS has afforded him the flexibility to live where he wants, in his case, on a beach in San Diego.
In the face of rapid digitalization and modernization, data scientists in Cameroon joined the SAS Hackathon seeking a way to preserve indigenous African languages.
To find out more, please join SAS at the Microsoft stand at EuroCIS. Read all interviews of my entire series here.
A new prototype AI diagnostic test for pre-eclampsia developed by a multi-disciplinary Irish team will hopefully save thousands of lives around the world. Preeclampsia affects 1 in 10 pregnancies and causes the deaths of at least 50,000 mothers and 500,000 babies worldwide every year. It is a serious pregnancy complication
SAS ViyaではCData JDBC Driverを使って下記のソーシャルメディア・ファイルストレージサービスにシームレスにかつ、素早く連結できます。 ・Facebook ・Google Analytics ・Google Drive ・Microsoft OneDrive ・Odata ・Twitter ・YouTube Analytics 本日はCData JDBCドライバーを使ってTwitterと連携し、「天気」に関するツイートを取得してみたいと思います。順番通り説明しますので、最後までお読みいただき、皆さんも是非ご活用ください。 1. Twitter API利用申請 Twitter Developer PlatformにてTwitter APIの利用申請を行います。申請にあたり、名前と住んでいる地域、利用目的などの情報を提供する必要がありますので、事前に用意しておいてください。また、利用申請の承認はTwitter側で数日かかる場合がありますのでご了承ください。 Twitter APIの利用申請が終わったら、申請完了のメールが届きます。 また、申請の検討が終わり、Twitter APIが利用できる状態になりましたら、「Account Application Approved」というメールが届きます。 2. CData Twitter JDBC Driverインストール インストールにはSASの契約とは別途、CData社との契約が必要ですが、30日間トライアルで使うことも可能ですので、ご紹介します。 まず、CData Twitter JDBC Driverインストールページにアクセスします。 次に、Downloadクリックします。 Download Trialをクリックします。 適切なOSを選択してDownloadをクリックします。今回はWindowsを選択しました。 ダウンロードされたTwitterJDBCDriver.exeファイルを開き、画面に表示されるステップに従ってインストールを完了します。 3. Connection String生成
Just getting started with this series? Make sure to explore the earlier posts Part 1, Part 2 and Part 3. Up until now, you have seen how ModelOps can solve your biggest machine learning challenges and that SAS and Microsoft, together, can help you deploy, govern and monitor your models
