Move beyond spreadsheets to data mining, forecasting, optimization – and more
Wenn ihr einer über den Weg läuft, der vorhersagen will, wie die Hundstage oder der Winter 2020 ausfallen werden, der sei nicht ihr Kollege.
[Nabaruna Karmakar was coauthor of this post] A study was conducted at the University of Denver on The Economic Impacts of the Austin, Texas "No Kill" Resolution. The study found great value in creating an animal welfare-focused community. It highlighted the benefits of economic growth due to an increased need in
My 2020 SAS Global Forum paper was about how to write custom parallel programs by using the iml action in SAS Viya 3.5. My conference presentation was canceled because of the coronavirus pandemic, but I recently recorded a 15-minute video that summarizes the main ideas in the paper. One of
The Text Investigation Framework utilizes several technologies built on SAS Viya, including SAS Visual Text Analytics, SAS Visual Data Mining and Machine Learning, and SAS Visual Investigator. SAS Visual Investigator acts as the orchestrator to surface the results. With its broad set of capabilities, SAS Visual Investigator can perform scenario authoring, alert generation and disposition, and comprehensive workflow to gather vital outcomes and feedback.
Analytics can help to surface broad macro-scale issues about productivity, demand, and ideal methods of cultivation.
There's no question that we're all increasingly, and often exclusively, interacting with brands digitally. Consumers are now online through countless mechanisms – from laptops and mobile apps to AI-enabled voice assistants and sensor-based wearables. Engagement is diversifying in fascinating new ways. And when organizations can't see their customers interacting in
Los días de compras diferenciadas -como los días sin IVA llevados a cabo en varios países latinoamericanos y los que aún hay programados por ejemplo en Colombia para septiembre- deben dejarnos experiencias y aprendizajes. Es cierto que hay que seguir reforzando los controles de bioseguridad y que cuidar la salud
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
Customer data platforms (CDPs), data management platforms (DMPs), people-based marketing, identity graphs, and more overlapping topics represent an important ingredient of any martech brainstorming session in 2020. As your brand spreads out across touchpoints — from web to mobile applications, as well as call centers, email and direct mail —
Decision trees are a fundamental machine learning technique that every data scientist should know. Luckily, the construction and implementation of decision trees in SAS is straightforward and easy to produce. There are simply three sections to review for the development of decision trees: Data Tree development Model evaluation Data The
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.
Mehr zum Thema erfahren Sie in unserem Partner-Webinar mit dem Behördenspiegel.
No matter what your brand's level of marketing maturity is, SAS can help you move from data to insight to action with rich functionality for adaptive planning, journey activation and an embedded real-time decision engine – all fueled by powerful analytics and artificial intelligence (AI) capabilities. Let's begin with a
What is automated prediction? Automated prediction, in less than a minute, runs several analytic models (such as decision trees, gradient boosting, and logistic and linear regression) on a specific variable of your choice. Most of the remaining variables in your dataset are automatically analyzed as factors that might influence your specified variable. They are called underlying factors. SAS then chooses the one model (champion model) that most accurately predicts your target variable. The model prediction and the underlying factors are then displayed. You can adjust the values of the underlying factors to determine how the model prediction changes with each adjustment.
Remember Subconscious Musings? It was the name of the blog Radhika Kulkarni (now retired Vice President of SAS R&D) started in 2012. She wrote about trends that drove innovation and challenges that expanded the boundaries of what we thought was possible. It eventually evolved into what we now know as
I recently showed how to use simulation to estimate the power of a statistical hypothesis test. The example (a two-sample t test for the difference of means) is a simple SAS/IML module that is very fast. Fast is good because often you want to perform a sequence of simulations over
“El deporte moderno se ha convertido en una gigante base de datos que hay que saber entender para obtener los mejores resultados”, dice Jhon Jairo Osorio, un reconocido periodista deportivo colombiano especializado en ciclismo. Jhon Jairo suele participar como comentarista en las transmisiones que canales de televisión colombianos hacen de
Hidden Markov Models Introduction Statistical models of hidden Markov modeling (HMM) have become increasingly popular in the last several years. The models are very rich in mathematical structures and can form the theoretical basis of many real applications. In the classical continuous/discrete Markov process, each state corresponds to an observed
An embedding model is a way to reduce the dimensionality of input data, such as images. Consider this to be a type of data preparation applied to image analysis. When an embedding model is used, input images are converted into low-dimensional vectors that can be more easily used by other computer vision tasks. The key to good embedding is to train the model so that similar images are converted to similar vectors.
Las soluciones analíticas son muy importantes justo en el momento que vivimos. Tanto en la lucha directa contra la proliferación del virus como en la planificación operativa de los gobiernos y las instituciones de salud, es el instrumento que permite a las empresas enfrentar la crisis económica que surgirá como
Com o início do “desconfinamento”, a reabertura das empresas fabris e a entrada faseada em produção, esta é também uma altura importante para pensarmos em como tornar as nossas empresas mais eficientes e em alavancar investimentos efetuados anteriormente. Numa fase em que ainda não estamos a produzir a 100%, a
I spoke with Antonie Berkel and Dr. Joost Huiskens about a systems analysis project for the design of a clinical decision support system (CDSS) which integrates computer vision to help radiologists monitor the progression of tumors.
Αν θέλετε να «σπάσετε» την καλοκαιρινή μονοτονία🙂 ανάμεσα στις θαλάσσιες βουτιές, το χταποδάκι στην ταβέρνα και την χαλάρωση από το διάβασμα ενός βιβλίου, σας έχω μια καλή πρόταση! Εάν δεν καταφέρατε να είστε ένας από τους χιλιάδες επαγγελματίες στον τομέα των analytics που συμμετείχαν από 56 χώρες και παρακολούθησαν το
Todos somos conscientes de que las perspectivas económicas para los próximos meses a nivel global están lejos de ser optimistas, pero ¿qué opinan al respecto los líderes empresariales? Para averiguar la visión del sector privado sobre la crisis del COVID-19, The Economist Intelligence Unit, con el respaldo de SAS, lanzó
Monitoring the network can leverage advanced analytics as well, enabling communications providers to be proactive.
Alena caught up with Pedro Peleja, Technology Transformation Director at Una Seguros, to talk about digital transformation.
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?
Last month a SAS programmer asked how to fit a multivariate Gaussian mixture model in SAS. For univariate data, you can use the FMM Procedure, which fits a large variety of finite mixture models. If your company is using SAS Viya, you can use the MBC or GMM procedures, which
The multivariate normal distribution is used frequently in multivariate statistics and machine learning. In many applications, you need to evaluate the log-likelihood function in order to compare how well different models fit the data. The log-likelihood for a vector x is the natural logarithm of the multivariate normal (MVN) density
Las organizaciones han estado migrando a la nube para estar a la vanguardia tecnológica y alcanzar más rápidamente sus objetivos de negocio. Tener el software, la infraestructura y los servicios en cloud da la flexibilidad y el poder de procesamiento que requieren a medida que crecen; incluso cuando se enfrentan
