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Our traditional assumptions about data are evolving, and so is our understanding of data literacy. Data is more than numbers, charts and graphs. And data literacy is not just for data scientists. “If you’re talking with people who aren’t already data fluent, you have to make them aware that data is
Aimez-vous rêver ? Moi oui et, pour être honnête, je rêve assez souvent. Aujourd'hui je vais vous parler de la banque de mes rêves. Je sais que le sujet est étrange mais pourquoi pas. Alors, à quoi ressembleraient les interactions quotidiennes avec la banque de mes rêves ? Le matin,
AutoML은 최근 몇 년간 가장 빠르게 진화하는 AI기술중 하나입니다. AutoML은 시티즌 데이터 사이언티스트는 물론 데이터 사이언티스트도 더 빨리 더 많은 모델을 구축하고, 모델의 정확도를 개선하여 보다 생산적인 과제에 집중할 수 있게 합니다. 이를 통해 기업은 조직 전반에 업무 효율성과 전문성을 강화할 수 있습니다. SAS AutoML 플랫폼의 핵심은 분석 라이프사이클 프로세스
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