La innovación es hoy una de las principales vías para mejorar la competitividad y la eficiencia de las organizaciones. El SAS Innovation Lab nace con la vocación de desarrollar experiencias de alto valor añadido para las empresas, ayudándolas a entender en qué áreas podrían aplicar analítica avanzada para obtener un
A note from Udo Sglavo: A wealth of connectivity is pervasive in the data we gather across many industries. In other words, networks are all around us. A data science trend you cannot ignore is to organize, learn from, and drive decision-making based on connected data. Network analytics engines provide efficient
La aplicación de la tecnología al entorno educativo ha ampliado de forma considerable las posibilidades en cuanto a canales y métodos de aprendizaje. Precisamente, en los últimos meses, en los que la educación online ha alcanzado niveles inimaginables hasta el momento, ha surgido un aumento del interés en disciplinas como
“Technology is an industry that eats its young, it is rare to come across providers that have been around for more than a human generation.” Tony Bear, Big on Data With more than 40 years in the market, SAS is one of the rare technology providers that has been around
A note from Udo Sglavo: The need for randomization in experimental design was introduced by the statistician R. A. Fisher in 1925, in his book Statistical Methods for Research Workers. You would assume that developing a successful treatment for COVID-19, the illness caused by the SARS-CoV-2 virus, will eventually conclude in
A note from Udo Sglavo: In Digital transformation, scientific computing, and peace of mind, I mention that the COVID-19 pandemic is paralyzing the world. However, new challenges are also inspiring new ideas to tackle those challenges. We might ask questions about what is causal in nature, trying to figure out
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
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
La pandemia del COVID-19 ha obligado a todos los sectores económicos a revisar sus previsiones y prioridades para los próximos años. A pesar de que se estima una desaceleración significativa, aún se desconoce el impacto real que tendrá en la economía mundial, que dependerá también de las medidas que se
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
La pandemia originada por el COVID-19 ha puesto de manifiesto, entre otras muchas cosas, el reto que supone para los sistemas de salud hacer frente a una emergencia sanitaria de gran alcance. Garantizar la disponibilidad de camas hospitalarias, ventiladores o incluso de profesionales sanitarios para atender las necesidades de miles
La crisis sanitaria y social provocada a nivel global por la pandemia del COVID-19 ya ha mostrado cómo algunos gobiernos están apostando por tecnologías punteras, como la inteligencia artificial, analytics, big data o machine learning para una toma de decisiones basada en datos. Muchos países abordan la desescalada de la
La pandemia del COVID-19 está teniendo importantes consecuencias en la economía a nivel mundial. Durante la fase de recuperación de la normalidad, la necesidad de establecer medidas de distanciamiento social y evitar aglomeraciones para minimizar riesgos de contagio será especialmente difícil de integrar en la vida diaria de grandes urbes,
Today, many assets across multiple industries are becoming more instrumented and connected to enterprise platforms to provide additional insight into their health and operation. IDC estimates that Internet of Things (IoT) investment will reach $1.12 trillion in 2023. One important area for many industrial organizations that are focused in using
Through hyperparameter autotuning, you can maximize a model's performance without maximizing effort. While SAS searches the hyperparameter space in the background, you are free to pursue other work.
Fifty years ago, as the women’s liberation movement was gaining momentum in the U.S., my maternal great-grandmother, Pearl, worked in a factory sewing American flags while volunteering with the Girl Scouts and caring for her grandchildren. My paternal grandmother, Greta, also worked in local factories while caring for her family.
This blog is a part of a series on the Data Science Pilot Action Set. In this blog we review all nine actions in Python. Have you noticed the button bar in the upper right-hand corner of the SAS Visual Data Mining and Machine Learning Programming Guide? This button bar
This blog is a part of a series on the Data Science Pilot Action Set. In this blog, we discuss updates to Visual Data Mining and Machine Learning with the release of Viya 3.5. In the middle of my blog series, SAS released Viya 3.5. Included in Viya 3.5 was the
This blog focuses on using SASPy for modeling and machine learning.
SAS Viya is a cloud-enabled, in-memory analytics engine which allows for rapid analytics insights. Viya utilizes the SAS Cloud Analytics Services (CAS) to perform various actions and tasks. Best of all, CAS is accessible from various interfaces including R. In this blog, I will go through a few blocks one of my notebooks, which moves through an analytics workflow using R and SAS.
The dsAutoMl action is all that and a bag of chips! In this blog, we took over all aspects of the data science workflow using just one action.
Jordan Bakerman's session at ODSC Europe inspired this post, which provides an overview of deep learning and how factorization machines work.
Are you looking for a Data Science easy button? The dataSciencePilot action set comes pretty close.
Are you looking for a Data Science easy button? The Data Science Pilot Action Set comes pretty close.
How do you explain flat-line forecasts to senior management? Or, do you just make manual overrides to adjust the forecast? When there is no detectable trend or seasonality associated with your demand history, or something has disrupted the trend and/or seasonality, simple time series methods (i.e. naïve and simple
Mehr als ein Jahr ist seit dem Inkrafttreten der EU-Datenschutz-Grundverordnung (DSGVO) vergangen. Jetzt sind die ersten Abstrafungen erfolgt. Zeit für eine erste Bilanz: Wo stehen wir eigentlich beim Datenschutz? Wie wird die Gesetzeslage schon umgesetzt und welche Hürden gibt es immer noch? Mit diesen Fragen hat sich Arnd Böken, Rechtsanwalt
When a new Moon passes between the Earth and the Sun, the Moon can cast a shadow on certain regions of the Earth. This natural phenomenon creates a solar eclipse, meaning the Moon covers, or eclipses, your view of the Sun if you're in that region. No surprise that in
The first person to live to 150 has already been born. When I first heard this controversial idea, popularized by biomedical gerontologist Aubrey de Grey of the SENS Research Foundation, it gave me chills. It’s amazing to think we could have 50 more years to spend with loved ones and
The potential for artificial intelligence (AI) and the Internet of Things (IoT) to transform the way health care and therapies are delivered is tremendous. It’s not surprising that the health care and life sciences industries are being flooded with information about how these new technologies will change everything. While it’s
AI seems to be mentioned everywhere these days. But how can AI be used in day-to-day work? Here, Katherine Taylor explains an example of "practical AI" in banking using SAS Visual Data Mining and Machine Learning. She'll explore more business problems and industries in future posts.
