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Recently, we’ve released a new feature in ASTORE: score with multiple analytic stores. In the process, we may create multiple analytic stores with dependencies among them (the output of some analytic stores is an input to others). This feature streamlines the scoring process of multiple analytic stores. It enables the
We’ve all experienced the value that innovation has brought to our lives. The cloud, enormous data sets and more accurate AI modeling have enabled many organizations to bring new products and services to market in ways we could not have imagined 20 years ago. The health care and life sciences
You've probably seen a population pyramid, such as this one I showed in a previous blog post. But let's scrutinize population pyramids a bit deeper, with an eye on special features that can make them even more useful! I was inspired to give population trees a second look by this
While live advisors sleep, this friendly, sophisticated chatbot is there to help victims of identity fraud.
It is well known that classical estimates of location and scale (for example, the mean and standard deviation) are influenced by outliers. In the 1960s, '70s, and '80s, researchers such as Tukey, Huber, Hampel, and Rousseeuw advocated analyzing data by using robust statistical estimates such as the median and the
Minnesota's longitudinal data system integrates early childhood education, K-12, postsecondary and workforce data to create a panoramic view of education outcomes. The merging of systems results in data linking and improves the overall data quality and performance of the P-20 Statewide Longitudinal Education Data System (SLEDS) and Early Childhood Longitudinal
분석은 왜, 전사적으로 활용되지 못할까요? 최근 맥킨지 연구에 따르면 AI와 분석을 전 세계 산업 전반에 적용할 경우, 약 9조~15조 달러의 가치 창출이 가능합니다. 그런데도 오직 8%의 주요 기업만이 전사적으로 분석을 활용하고 있습니다. 무려 90% 이상의 기업이 분석을 조직의 모든 영역으로 확산하지 못하고 있는 것입니다. 조직 내 분석 확산과 관련하여 주요 관계자들은 각기 다른 고민을 안고 있습니다. ▶IT리더는 제한된 비용으로 신기술을 적용하고 혁신을 이루어야 합니다. 한편으로는 끊임없이 개발 및 변경되는 분석 모델을
Wirtschaftsministerin Baden-Württemberg, Dr. Nicole Hoffmeister-Kraut, im Gespräch.
Ready to turn big data into big business insights? Look to the cloud.
At SAS, curiosity is at the heart of who we are and what we do. It’s one of our core values, and what drives us forward every day. It’s been this way since the beginning, and our rich history of curiosity has paved the way for some unique aspects of
With the SAS Visual Data Science Decisioning (VDSD) trial, you get the ultimate analytics experience with free access to all SAS Viya analytic capabilities for 14 days. SAS Visual Data Science Decisioning provides the ultimate experience covering the entire analytics lifecycle – from managing data, developing models, and deploying models to take decisions.
Mental health and data sharing. Seeing those phrases in a single sentence gives even the most seasoned professionals pause. This is legitimately sensitive data. And there are often specialized confidentiality and privacy laws due to the stigma and discrimination against those with mental health disorders. All the same, many agencies are starting to ask
El texto no estructurado es la mayor fuente de datos generada por el ser humano y crece exponencialmente cada minuto. No hay que olvidar que la tecnología está ya presente en todos los aspectos de nuestras vidas, tanto profesionales como personales, y nos permite conversar rápidamente a través de textos,
Nut butters are a secret weapon for making fruits, raw veggies and oatmeal more satisfying. If you’ve branched out beyond peanut butter, you know store-bought nut and seed butters can get expensive and often contain added sugar and oils, so why not make your own? If you have some nuts,
When data contain outliers, medians estimate the center of the data better than means do. In general, robust estimates of location and sale are preferred over classical moment-based estimates when the data contain outliers or are from a heavy-tailed distribution. Thus, instead of using the mean and standard deviation of