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
L'Intelligence Artificielle (IA) et l'analytique aident à la détection des premiers symptômes indicateurs d'une possible épidémie. Ce qui contribue largement à limiter la propagation d'un virus. Il faut pouvoir compter sur des techniques analytiques capables de repérer des événements rares mais significatifs, comme une hausse de l'absentéisme dans une école
The current state of policy enforcement during an infectious disease pandemic is mostly reactive. Public health officials track changes in active cases, identify hot-spots and enforce containment policies primarily based on geographic proximity. By combining telecommunications data -- which we turn into mobility information -- with public health data of
The COVID-19 pandemic has revealed the vulnerability of pharmaceutical supply chains. Pharma companies are focusing on risk management to improve the resilience of their networks. Most of the measures they will take, including on-shoring, over capacities and redundancies, will lead to higher costs. To decrease inventory levels across these new
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
While working at the Rutgers Robert Wood Johnson Medical School, I had access to data on over ten million visits to emergency departments in central New Jersey, including ICD-9 (International Classification of Disease – 9th edition) codes along with some patient demographic data. I also had the ozone level from
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
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
Governments, industry and academia are coming together to find solutions to the problems caused by COVID-19, which emerged in the city of Wuhan, China, in December 2019. Unsurprisingly, the life sciences and health care sectors are at the heart of the work. Health care may make most of the headlines,
We've set up a Covid-19 task force to support you during this crisis. We offer free consultations and can provide recommendations.
In some cases, recovery provides immunity to future infections, however the evidence currently available for COVID-19 cannot confirm this immunity stage.
By this point you may be wondering whether the so-called hill that represents the move to operationalization may actually be a mountain.
Nos primeiros dias e semanas de qualquer problema de saúde global generalizado, particularmente num surto de rápida evolução como o coronavírus, existem muitas incógnitas. A visualização de dados pode ser um bom ponto de partida para perceber tendências e transformar dados dispersos em algo útil. A capacidade de visualizar a
인류의 건강을 위협하는 문제, 특히 코로나바이러스(COVID-19)처럼 빠르게 전파되는 질병이 확산되는 초기 단계에는 예상할 수 없는 많은 변수들이 존재합니다. 이러한 단계에서 데이터 시각화를 활용하면 빠르게 추세를 파악하고 단편적인 데이터들로부터 유의미한 결과를 도출할 수 있습니다. 바이러스 경로 시각화는 사람들에게 경각심을 일깨우고 바이러스의 영향력을 알림으로써, 궁극적으로 질병 예방 활동에 도움이 될 수 있을
In the early days and weeks of any widespread global health concern, particularly in a fast-moving outbreak like the coronavirus, there are many unknowns. Data visualization can be a good starting point to understand trends and piece data points together into a meaningful story. The ability to visualize the spread
Do you wish you could predict the likelihood that one of your customers will open your marketing email? Or what if you could tell whether a new medical treatment for a patient will have a better outcome than the standard treatment? If you are familiar with propensity modeling, then you
In my previous post, I shared how I’ve been working on a fascinating project with one of the world's largest pharmaceutical companies. The company is applying SAS Viya computer vision capabilities to an advanced medical device to help identify potential quality issues on the production line. By providing 100% visual
Over the past few months, I’ve been working on a fascinating project with one of the world's largest pharmaceutical companies to apply SAS Viya computer vision to help identify potential quality issues on the production line as part of the validated inspection process. As I know the application of these
A continuación, se mencionan algunos ejemplos: Comercio electrónico: La industria de comercio electrónico es probablemente una de las más dinámicas en términos de innovación tecnológica: cada vez que los usuarios interactúan con las aplicaciones y páginas web de las empresas, toda la información es continuamente capturada y representa la
Los científicos de datos altamente calificados y los profesionales analíticos escasean a medida que las organizaciones luchan por encontrar soluciones a problemas empresariales cada vez más complejos. En este entorno, las soluciones de Analítica Avanzada y de Inteligencia Artificial (IA), se presentan como propuestas idóneas, construidas para la velocidad y
A diario los directivos y dueños de las empresas toman decisiones que tienen impacto en sus negocios, por lo que, al incorporar la analítica en sus procesos, pueden tomar mejores decisiones, incluso cuando se tienen que evaluar miles o millones de alternativas como parte de una actividad cotidiana. Sin embargo,
Gespräch mit Helmut Linde von Merck über seine Meetup-Ambitionen. Helmut ist ein begehrter Gastredner in der Data Science Szene Rhein-Main.
Gespräch mit Helmut Linde von Merck über seine Meetup-Ambitionen. Helmut ist ein begehrter Gastredner in der Data Science Szene Rhein-Main.
According to the Price Waterhouse Cooper 2018 Global Economic Crime and Fraud Survey, the reported rate of economic crime is on the rise, up to 49% in 2018. That makes the use case I want to share particularly relevant, no matter what industry or sector you're in. This use case
With NHANES data from the CDC, we can use SAS to research the impact of endocrine-disrupting chemicals. Special sampling techniques are needed when using these data.
Los seres humanos tenemos una característica –entre muchas que nos hacen únicos– que requiere de la comprensión de nuestros interlocutores para causar el efecto deseado: somos capaces de decir una cosa queriendo expresar un sentimiento completamente diferente. Lo llamamos sarcasmo, ironía o mordacidad. Pero, si a veces es difícil para
The startup ecosystem is dynamic and the flow of venture capital into tech is at an all-time high. Billions of dollars are invested in tech startups every year. Many tech startups market themselves as ‘powered by AI’ and pitch investors with buzzword laden phrases such as, ‘we leverage state of
As you will have read in my last blog, businesses are demanding better outcomes, and through IoT initiatives big data is only getting bigger. This presents a clear opportunity for organisations to start thinking seriously about how to leverage analytics with their other investments. Demands on supply chains have also
While the global pharmaceutical industry has been changing profoundly in the last 15 years, it has also been facing some huge challenges. Growing demand, increased competitiveness, reduced time to market, quality adherence and the spiralling cost of developing new drugs have increased pressure on pharma companies to deliver on tighter
SAS코리아가 6월 20일 삼성동 코엑스 인터컨티넨탈 호텔에서 국내 주요 제약 및 임상시험수탁기관(CRO) 산업 관계자를 대상으로 ‘제약산업의 데이터 분석과 리포트 시각화: SAS 분석 프레임워크 소개와 활용 방안 및 시각화 데모’ 세미나를 성황리에 개최했습니다. SAS는 이번 세미나에서 데이터 분석 인사이트에 기반한 제약 기업의 신규 비즈니스 창출 방안과 글로벌 기업의 선진 사례를 통한
