All Posts
In this Q&A with MIT/SMR Connections, Gavin Day, Senior Vice President of Technology at SAS, shares real-life examples of artificial intelligence (AI) at work, discusses picking the right problems to solve with AI, dispels a common misconception about AI, and defines AI success. Q: Could you describe some especially interesting
Throughout its history, the United States has invested in infrastructure that leverages new technologies and helps society and its economy thrive. With the advent of trains in the early 1800s, four of the country’s five transcontinental railroads were built with assistance from the federal government. When cars replaced horses and
As an example, when using ordinary least squares regression (OLS), if your response or dependent attribute’s residuals are not normally distributed, your analysis is likely going to be affected and typically not in a good way. The farther away your input data is from normality, the impact on your model
Are you bothered by a runny nose for hours after eating certain foods? Or brain fog or joint pain the morning after straying from your normal eating pattern? Do you avoid eating in unfamiliar restaurants for fear of the aftermath? If any of these scenarios sound familiar, you may have
Beloved Dummies: Let’s demystify another #AI-hype today: predictive maintenance. Yet another one of these buzzwords that require batteries of #DataScientists and truckloads of programmers. Let me show you how Dummies like you and me can address this. What is predictive maintenance? So we’re talking maintenance of machinery. Sure, you can
"With great power comes great responsibility." I'm not sure exactly where this quote comes from, but I think everyone should keep it in mind when creating graphs and maps! There are many design decisions that can influence how the end user perceives the data in a graph. For example: The
Durante la historia reciente, los gobiernos se han enfrentado a fenómenos económicos que amenazan su estabilidad financiera, creando desempleo y acelerando la urgencia de prestar servicios de apoyo social. Recientemente, una emergencia sanitaria, la de COVID-19, sacudió dicha estabilidad y disparó la demanda de recursos de salud debido a la
The last year and a half has certainly exacerbated many stresses that people were already facing. Unfortunately for many, complicated dynamics and tensions with family were not immune during this time. I was curious to look back at previous Work/Life posts that address difficult dynamics. Although all were created pre-pandemic,
In the past, the COMPRESS function was useful. Since SAS version 9, it has become a blockbuster, and you might not have noticed. The major change was the addition of a new optional parameter called MODIFIERS. The traditional use of the COMPRESS function was to remove blanks or a list
If the big banks won’t help when times are tough, customers will turn to smaller, simpler providers. And once they’ve switched, banks will struggle to win them back. I’ve written before about how banks are an essential part of the UK’s social fabric. Our economy depends on the availability of
Following on from my last blog introducing the series, in this section, we’ll take a first look at Explanatory Data Analysis with basic summary statistics. Getting started with a new dataset in analytics can be daunting. It can help when first looking at a dataset to start with basic summary
A SAS programmer recently asked why his SAS program and his colleague's R program display different estimates for the quantiles of a very small data set (less than 10 observations). I pointed the programmer to my article that compares the nine common definitions for sample quantiles. The article has a
SAS' Ben Yarbrough reveals the four questions to answer and four steps to take as you transition to SAS Viya.
How long do dogs live? ... That's a good/tough question. Some live longer than others, but what are the determining factors? Let's throw some data to this problem, and see if we can fetch some answers! But before we get started, how about a random picture to get you into
How do you convince decision makers in your enterprise to give a machine learning (ML) project the green light? You might be super excited about machine learning – as many of us are – and might think that this stuff should basically sell itself! The value proposition can seem totally