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Where do your data scientists sit? Perhaps they occupy a typically gloomy, computer-filled basement. Or maybe they have a glassy building all to themselves. Either way, you’ll not always see business decision makers walking the same corridors. After all, analytics is best left to the experts, isn’t it? Yet back
A year ago we could not imagine stadiums being empty during the most exciting sports events, but it is a common sight now. The entertainment sector is one of the hardest hit sectors because of the COVID-19 pandemic [1]. Social distancing requirements made it impossible to have viewers in stadiums
Intuitively, the skewness of a unimodal distribution indicates whether a distribution is symmetric or not. If the right tail has more mass than the left tail, the distribution is "right skewed." If the left tail has more mass, the distribution is "left skewed." Thus, estimating skewness requires some estimates about
Here is the second installment of the 3-part series by guest bloggers Jessica Curtis and Andrea Moore. (If you missed it, here is Part 1.) THE VALUE SAS DELIVERS TO OPEN SOURCE First and foremost, SAS distributes the input data for forecasting. SAS knows how to split up data intelligently
Welcome to the first of a 3-part series by guest bloggers Jessica Curtis and Andrea Moore: FORECASTING IS UBIQUITOUS Forecasting is core to many different business decisions across virtually every industry. Whether you’re a retailer planning a compelling assortment of SKUs or improving labor planning for distribution centers and stores, or a consumer product goods
Tomorrow we begin a three-part series on how to accelerate open source forecasting with SAS, by guest bloggers (and my colleagues) Jessica Curtis and Andrea Moore. As the popularity of open source forecasting has expanded, so has the ability of SAS to take advantage of open source capabilities. Over the
Learn why integrating EHR data with pharmacy and claims data improves patient care.
The coronavirus pandemic has changed many things in many industries – and not always in the most obvious way. Insurance companies have seen both fewer claims and fewer sales. As a result, many have realised that the process of digitisation, often started slowly before lockdown, must now be accelerated. More,
Imagine driving in a foreign country at night with no GPS and half a tank of gas in the pouring rain. And you have to reach your destination before sunrise. That’s a little like how it felt when COVID-19 turned our 2020 plans upside down, and we raced into the
In my last blog post, I talked about the importance of establishing the right team for data science projects. Here, I’m going to talk about some of the barriers that can prevent successful adoption of data science. You can read my whole "data science in the wild" blog series here.
지난 딥러닝 시리즈에서는 SAS Visual Data Mining and Machine Learning을 활용한 딥 러닝 모델 생성에 대한 내용 중 <기본 심층 신경망(DNN) 모델 아키텍처와 배치 정규화를 사용한 DNN 모델 구축>에 대해 소개해 드렸습니다. 이번 시리즈에서는 딥 러닝 성능을 개선할 수 있는 하이퍼파라미터를 조정에 대해 소개해 드립니다. 일정 기간에 걸쳐 성능이 향상되고
SAS' Leonid Batkhan explains the data cleansing task of removing unwanted repeated characters in SAS character variables.
The expected value of a random variable is essentially a weighted mean over all possible values. You can compute it by summing (or integrating) a probability-weighted quantity over all possible values of the random variable. The expected value is a measure of the "center" of a probability distribution. You can
Detecting malpractice and crime – whether it is fraud, people smuggling, avoiding customs or organised crime – is a complex process. Detection is all very well and a necessary step. But what are the outcomes that your organisation needs? And what workflows and triggers do you need in place to
Interview mit Bundesministerium für Wirtschaft und Energie, Leiter der Stabsstelle für KI: Marco-Alexander Breit.