All Posts
The first principle of analytics is about bringing the right analytics technology to the right place at the right time. Whether your data are on-premises, in the cloud, or at the edges of the network – analytics needs to be there with it. Being true to this principle means we
Jim Harris examines coronavirus terms that are crucial to data-driven decisions in the pandemic.
The companies I usually deal with, especially healthy and successful ones, often don’t believe that they need to change. However, I think this is where problems take root. I believe changes should be made when things are going well because when they have gone wrong, it's too late. You no
Every presidential candidate has a list of states they’re expected to win, but there are always states that are too close to call because they have similar numbers of registered voters for each of the two dominant political parties: Democrat and Republican. It’s in these “swing” states that candidates invest
SAS has always believed in the power of education, but in today’s data-driven economy, it’s more important than ever to ensure our students are introduced to data science at an early age. We as a company are focusing our resources on creating student experiences in data literacy, computer science and
A global teaching resource for post-COVID-19 academia During the COVID-19 pandemic, governments used data science modelling to justify actions around lockdowns, and then again, in due course, when they eased restrictions. These actions affected billions of citizens’ lives and livelihoods. The importance of analytical calculation and competence was brought home,
SAS' Véronique Van Vlasselaer reveals why managing model performance is as important as putting them into production.
No access to locker rooms? It's cold outside! How do I get out of my swim suit for the ride home? Won't it be cold? These are some of the most common questions we've had since we re-opened the Natatorium. Gracefully changing out of your wet suit into dry clothes
The triangulation theorem for polygons says that every simple polygon can be triangulated. In fact, if the polygon has V vertices, you can decompose it into V-2 non-overlapping triangles. In this article, a "polygon" always means a simple polygon. Also, a "random point" means one that is drawn at random
Discovery is an important part of setting up your analysis for success – essentially it prevents you from plunging into a haystack to try to find that elusive needle, and rather, helps you organize the haystack into neater, compact organized bales that you can navigate with ease. Proper discovery can help you more efficiently find patterns in your data set.
Here in the United States, we have our general election (where we elect the president) every four years - and 2020 happens to be one of those election years. This time we seem to have a lot more people voting early. I can't tell you the reason they're voting early
A prima vista, potrebbe sembrare che data science e psicologia abbiano ben poco in comune. Tuttavia, di recente ho iniziato ad appassionarmi di psicologia e penso che tra le due ci siano molte più somiglianze di quanto si possa pensare. 1. Sia Data Science che psicologia ci aiutano a rispondere
Teknoloji dur durak tanımıyor, günbegün yeni buluşlarla, atılımlarla ve daha nicesiyle tanışıyoruz. Daha da önemlisi, bunu artık anlık olarak yapıyoruz. İnternet çağının katkılarıyla, Türkiye’de yaşayan bir kişi dünyanın herhangi bir yerinde, dün yapılmış bir çalışmayı hemen kişisel bilgisayarının rahatlığıyla okuyabiliyor. Tabii ki, bu kadar hızlı gelişmenin artıları olurken eksileri de
Who Helps the World? Girls! Decades of research show there's one strong difference in what young men and women say they value in a future career: The opportunity to help others. And young women are far more likely to say that they want a job where they can have a positive
What does the AI enterprise of the future look like? That’s a tough question that I’ve been asked to consider, along with a distinguished panel at Valley ML AI Expo 2020. The title of the panel is, “Life, the Universe and the AI Enterprise of the Future.” Based on an initial chat with panel chair Gautam Khera, I’ve written up some possible topics we’ll be covering on the panel. Consider