Have you ever dreamed of working for a professional sports organization? Do you play fantasy sports leagues and fantasize about owning a real team? Do you follow the news about player drafts and trades, and wish you could influence who your team picks? Well, here’s your chance. The latest SAS
Steht die moderne IT vor einer Herausforderung, greifen Verantwortliche immer öfter auf ein vermeintliches Allheilmittel zurück: die Migration von Lösungen in die Cloud. Doch ist diese Maßnahme tatsächlich die Universallösung? Nun, die Antwort darauf ist ein entschiedenes „Jein“. Analytics-as-a-Service und Analytics in der Cloud sind seit Längerem ein viel diskutiertes
The idea of running software in a self-contained package took off with the launch of Docker in 2013 and has become a hot topic in the application development and DevOps community. In a recent survey by Red Hat, 57 percent of companies questioned said they use containers for some workloads
Changing how we’ve viewed the beautiful game forever. How often have we looked at a game and wondered, “How did he miss that?!” Now, with expected goals (xG) metric, we can really see if our frustration is justified, and perhaps use that to predict future results. The use of analytics
According to the World Cancer Research Fund, Breast cancer is one of the most common cancers worldwide, with 12.3% of new cancer patients in 2018 suffering from breast cancer. Early detection can significantly improve treatment value, however, the interpretation of cancer images heavily depends on the experience of doctors and technicians. The
I recently saw an interesting graph that showed the number of motor vehicle crash deaths has been going down. The graph showed deaths per mile. That's a good statistic, but I wondered whether there were other ways to look at the data? An Interesting Graph Here's the graph, from an
I've previously written about how to deal with nonconvergence when fitting generalized linear regression models. Most generalized linear and mixed models use an iterative optimization process, such as maximum likelihood estimation, to fit parameters. The optimization might not converge, either because the initial guess is poor or because the model
There's been a lot of hype regarding using machine learning (ML) for demand forecasting, and rightfully so, given the advancements in data collection, storage, and processing along with improvements in technology. There's no reason why machine learning can't be utilized as another forecasting method among the collection of forecasting methods
Data scientists spend a lot of their time using data. Data quality is essential for applying machine learning models to solve business questions and training AI models. However, analytics and data science do not just make demands on data quality. They can also contribute a lot to improving the quality
What is that makes some innovations "stick" and others disappear into the ether, never to be seen again? In a high-technology industry, it is tempting to say that the technology simply wasn’t right, or the timing was wrong. However, history suggests that this is probably not the case. Much of the
Many SAS procedures support the BY statement, which enables you to perform an analysis for subgroups of the data set. Although the SAS/IML language does not have a built-in "BY statement," there are various techniques that enable you to perform a BY-group analysis. The two I use most often are
¿Han visto la película Minority Report? En esta se presentan algunas escenas en las cuales John Anderton entra a un centro comercial y mediante el “Sistema de reconocimiento óptico de la ciudad”, la pantalla de publicidad le saluda por el nombre y luego le hace ofrecimientos personalizados de productos. Para
I recently reacquainted myself with this excellent Executives Guide to AI from our friends at McKinsey & Company. The authors have distilled a complex topic into something easily digestible while avoiding jargon and hyperbole. While not in the CliffsNotes or Bluffer’s Guide category, this Insights article undoubtedly helps the reader
SAS, 향후 3년간 AI 분야 10억 달러 투자 계획 발표 R&D 혁신 교육 및 전문가 컨설팅 지원 통해 기업 AI 역량 강화 국내에서도 AI 전문가 교육 프로그램 제공… 인재 양성 및 분석가 저변 확대 2019년 3월 28일 – 세계적인 분석 선두 기업 SAS(www.sas.com/korea)가 향후 3년간 인공지능(AI) 분야에 총 10억 달러(한화 약
Virtual reality (VR), augmented reality (AR), eXtended reality (XR), mixed reality (MR), spatial augmented reality, hybrid reality. That's a lot of new technology and a lot of acronyms for a philosophical concept that has been pondered for millennia: what is reality? An intelligent reality is a technologically enhanced reality that
Der Sales Manager kann sich bezüglich des zu erwartenden Jahresergebnisses doch nicht so in Sicherheit wiegen, wie er dachte. Hans Huber aus unserem Callcenter hat eine höhere Wahrscheinlichkeit zu kündigen als Petra Hafner aus dem Controlling. Die Transaktionsverläufe der Kunden 42911, 85022 und 91294 passen ja gar nicht zu deren
Autor Convidado: Rui Salsas, Business Analytics Senior Consultant, Mind Source A utilização de ferramentas tecnológicas de apoio e suporte ao negócio já é um fator de diferenciação com largos anos. Para quem recorre à tecnologia SAS, e são muitos os clientes e parceiros, a realidade do passado era uso do
Cualquiera que esté informado sabrá que este no ha sido un año fácil en términos macroeconómicos para las organizaciones en América Latina, y particularmente en Argentina. En medio de este contexto, me enorgullece decir que el 2018 ha sido el mejor año de la última década para SAS Argentina, con
Special Feature Section Our special feature section in this 53rd issue of Foresight poses the question, Are You a Victim of Your Models? Here Tom Willemain, a longtime contributor to the journal, ponders why modeling and optimization algorithms haven’t displaced “gut instinct” in supply-chain forecasting as much as one would
Note: This is the first in a series of profiles of leaders in today’s utility analytics marketplace. “My job is to make people uncomfortable with the way they do things today. Transformation implies a revolution, not small incremental changes, and today the big revolution in any industry is in data,"
In simulation studies, sometimes you need to simulate outliers. For example, in a simulation study of regression techniques, you might want to generate outliers in the explanatory variables to see how the technique handles high-leverage points. This article shows how to generate outliers in multivariate normal data that are a
“We are at the cusp of one of the most exciting times in our lives and, if we get our strategy for AI right, then the UK will be able to reap the rewards for our economy for decades to come.” Greg Clark - Secretary of State for Business, Energy
92% dos líderes de IA formam as suas equipas em ética e 74% avalia, semanalmente, os resultados obtidos com a IA Se tivéssemos que destacar uma buzzword dos últimos tempos que vivemos escolheríamos Inteligência Artificial (IA). Uma tecnologia que, sem dúvida, nos transporta para outro patamar da chamada evolução tecnológica. Uma
The broad CCPA definition of personal information could open a can of worms for compliance and governance.
During the year 2020, many countries and areas will be conducting their decennial census, and making projections to estimate what their population will be in the future. Therefore I decided to dust off one of my old SAS/Graph samples based on the 2010 census, and rewrite it using more modern
UK government departments and the wider public sector are under huge pressure to improve service delivery and efficiency. We also know that investments in data analytics and data science play a key role in transforming services to help citizens. So what are the key challenges preventing more widespread adoption of
An important concept in multivariate statistical analysis is the Mahalanobis distance. The Mahalanobis distance provides a way to measure how far away an observation is from the center of a sample while accounting for correlations in the data. The Mahalanobis distance is a good way to detect outliers in multivariate
Deloitte’s 2019 Banking and Capital Markets Outlook begins by stating that “a decade after the crisis, the banking industry is on firmer ground.” Shortly after it asserts that “there may be no better time than now to reimagine digital transformation.” Having tinkered at the margins to keep the lights on,
In my previous post, “Why personalising the student experience is critical to higher education’s viability," we examined the role customer intelligence can play in driving value for universities and students across the higher education journey. Specifically, analytics has a vital role to play in helping decision makers, particularly marketers, to
Computer vision is one of the most sought-after artificial intelligence (AI) applications today, finding a wide variety of use cases in image recognition, object detection, biomedical assessment, and more. SAS supports a diverse set of AI and deep learning capabilities that can be used in many of these applications. One
