The Text Investigation Framework is a flexible solution for addressing text challenges across several domains. It was designed to create a process for turning unstructured text data into a decisioning system.
Five years ago, 193 countries joined forces and formed the United Nation’s Sustainable Development Goals. These goals, which are commonly referred to as the Global Goals, serve as a universal promise—an ambitious pledge to build a better future for people and planet by 2030. This year marks the final 10-year
Whenever I talk to actuaries across EMEA, they are very consistent in the many anchor points they see for actuarial modernization in order to be future-proof. In this article, I would like to share some of them. Anchor points for actuarial innovation The most time-consuming task is, of course, getting
Unlocking the potential of your unstructured text data can lead to great business outcomes but the prospect of starting a new or enhancing your existing Natural Language Processing (NLP) program can feel overwhelming because of the inherently unique (and sometimes messy) nature of human language. Text data doesn’t fit neatly into rows or columns the way that structured data does, which can make it seem more complex to work with. Conversations and written language range from objective statements to subjective perspectives and opinions. The same sentence, depending on its intent and the nuances in how it's said, can have a positive, negative, or neutral sentiment. To get us started, we'll share different types of NLP models used to analyze unstructured data with a focus on the hybrid approach.
My name is Carlotta Pacifici, I’m 25 years old and I live in Rome. Last November, I started an internship at SAS while completing my degree course in statistics at the University of Rome La Sapienza. How it began I first got to know SAS in the first year of
Mensen, die door een dwarslaesie gebonden zijn aan een rolstoel, weer laten opstaan en lopen met behulp van technologische ondersteuning. Dat is het doel waar Project MARCH zich voor inzet. Het team, bestaande uit 26 studenten van o.a. de Technische Universiteit Delft en Haagse Hoogeschool, zetten een jaar lang hun
전 세계 모든 산업의 변화를 주도하고 있는 주인공은 단연 AI(Artificial Intelligence, 인공지능)입니다. 운송, 금융, 엔터테인먼트, 헬스케어, 공공서비스, 에너지, 통신, 교육 등 모든 분야에서 AI는 비즈니스와 일상을 혁신하며 새로운 미래를 열고 있지요. SAS도 2019년 향후 3년간 AI 분야에 총 10억 달러 투자 계획을 발표한 바 있습니다. AI는 데이터라는 경험을 통해 배우고, 이
Como integrar modelos hierárquicos de séries temporais desenvolvidos em R ao SAS Visual Forecasting analisando as diferentes estratégias? O objetivo deste artigo é apresentar como podemos executar modelos de séries temporais, que foram desenvolvidos no R, no SAS Visual Forecasting, podendo, assim, paralelizar e acelerar o processamento do código R.
Fraud, waste and abuse (FWA) ravages the US health care system. Estimates from the National Health Care Anti-Fraud Association show fraud costs health care organizations $70 billion to $230 billion each year. The precise figure is unknowable because only 3 to 10% of this fraud is ever detected. With more
Lisa Lucas explains why people, knowledge and tech are vital for contact tracing.
How can organizations be more resilient during an uncertain business and public health situation? Lessons learned from organizations at the front lines of crisis response reinforce the importance of good analytic governance. These leading organizations have shown us that the fundamentals of the analytic life cycle – data, discovery and
Dashboards and metrics support data-driven decisions – if you understand the terms.
Los gobiernos y los diferentes sectores están creando protocolos para reactivar muchas de las actividades que solíamos hacer antes de la pandemia reduciendo los riesgos. Ante esta nueva etapa de apertura y reactivación, ¿se ha puesto a pensar en el tipo de decisiones que tiene que empezar a tomar ahora?
„Ich kann den Leuten errechnen, ob ihr Business erfolgreich sein wird, weil ich Strukturen aufdecke, auf die man nie kommen würde.“
How have healthcare providers and governmental agencies predicted the fast-changing, potentially exponential increase in the need for medical services and equipment through the various stages of the COVID-19 pandemic? Mathematical techniques that attempt to model and understand the likely spread of the disease have been instrumental. The SEIR model is
Nowadays, recommendation engines can be found just about everywhere from news websites to e-commerce sites to online streaming services. However, customers frequently encounter recommendations that are inappropriate or repetitive.
In May, I joined several SAS colleagues, academics, clinicians, pharmaceutical companies, and other information and technology specialists for the first-ever IMI PIONEER Hackathon for prostate cancer research. A few weeks later, as I watched the SpaceX launch on TV, it occurred to me that space trips and cancer research have
Recently we announced a new strategic partnership with Microsoft to further shape the future of AI and analytics in the cloud. This commitment will make it easy for SAS customers to move their analytics workloads to the cloud. And it will introduce SAS technologies to millions of Azure customers through
Adverse outcomes, and the rapid spread of COVID-19, have accelerated research on all aspects of the disease. You may have found it overwhelming, and very time-consuming, to find relevant and specialized insights in all the scientific literature out there. To aid researchers in quickly identifying relevant literature about key topics
SAS Public Sector's Elena Shtern is your guide as you extract data from the Federal Reserve Economic Data site using the SASEFRED interface engine, part of SAS/ETS® software.
I’m going to be honest. When we decided back in March to pivot our largest event of the year from an in-person event to a virtual one, I wasn’t sure what we were getting ourselves into. I didn’t know how we could replace the in-person networking, the unlimited learning opportunities
Rapid demand response forecasting techniques are forecasting processes that can incorporate key information quickly enough to act upon in real time by agile supply chains. Retailers and consumer goods suppliers are urgently trying to determine how changes in consumer behavior will affect their regions, channels, categories, brands and products during
What do two health systems, 4000 miles apart (6600 kilometers) have in common in their COVID-19 response? Despite different policy responses to the pandemic, they are more alike than you might think. Brought together by SAS and the FutureNHS COVID-19 analytics huddle, these two health systems recently shared their experience
Critics of sports analytics (and there are some entertaining ones) love to point out that analytics isn’t capable of capturing the things that don’t show up on a box score. A player who dives on the floor to save a loose ball, a quarterback strategically misleading a defender to free
In the second of a three-part series of posts, SAS' Funda Gunes and her colleague Ricky Tharrington summarize model-agnostic model interpretability in SAS Viya.
AI has huge potential to help us understand and manage our world, and especially to get value from the enormous amount of data that we now generate.
“He spends a lot of time wandering around in circles in the backyard,” my wife said to someone on the telephone. That’s true. Our backyard is only about 1/8th of an acre and I have taken to wandering outside and walking around the fence line. Ostensibly, I am checking to
바이러스는 어떻게 확산될까요? 전염 가능성을 높이는 요인은 무엇일까요? 사람에 따라 증상이 다른 이유는 무엇일까요? 어떤 치료법이 효과 있을까요? 백신 개발은 얼만큼 진행된 걸까요? 매일 새로운 연구 결과가 발표되고 세계 각지에서 연구 프로젝트가 진행되고 있지만, 코로나19와 신종 코로나바이러스에 대해서 우리는 여전히 아는 것보다 모르는 것이 더 많습니다. 그리고 풀어야 할 궁금증은
SAS Viya User muss kein Data Scientist sein, Business Analysten sowie Anwendungsentwickler und Führungskräfte profitieren von den Möglichkeiten in SAS Viya.
Las organizaciones de salud, los gobiernos y la población en general siguen concentrando sus esfuerzos en reducir la velocidad de propagación del COVID-19. Las medidas de prevención implementadas en todo el mundo, como el confinamiento y el distanciamiento social, han contribuido a ralentizarla. No obstante, continúan reportándose altos índices de
